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@inproceedings{Liu:2011,
	Acmid = {2068823},
	Author = {Liu, Yabing and Gummadi, Krishna P. and Krishnamurthy, Balachander and Mislove, Alan},
	Booktitle = {Proc. of the 2011 ACM SIGCOMM conference on Internet measurement conference},
	Doi = {10.1145/2068816.2068823},
	Isbn = {978-1-4503-1013-0},
	Keywords = {facebook, measurement, online social networks, privacy},
	Location = {Berlin, Germany},
	Numpages = {10},
	Pages = {61--70},
	Title = {Analyzing facebook privacy settings: user expectations vs. reality},
	Url = {http://doi.acm.org/10.1145/2068816.2068823},
	Bdsk-Url-1 = {http://doi.acm.org/10.1145/2068816.2068823},
	Bdsk-Url-2 = {http://dx.doi.org/10.1145/2068816.2068823}}

@article{yu2006sybil,
	Author = {Yu, Haifeng and Kaminsky, Michael and Gibbons, Phillip B and Flaxman, Abraham},
	Journal = {ACM SIGCOMM Computer Communication Review},
	Number = {4},
	Pages = {267--278},
	Publisher = {ACM},
	Title = {Sybilguard: defending against sybil attacks via social networks},
	Volume = {36},
	Year = {2006}}

@article{krasnova2010online,
	Author = {Krasnova, Hanna and Spiekermann, Sarah and Koroleva, Ksenia and Hildebrand, Thomas},
	Journal = {Journal of Information Technology},
	Number = {2},
	Pages = {109--125},
	Publisher = {Nature Publishing Group},
	Title = {Online social networks: why we disclose},
	Volume = {25},
	Year = {2010}}

@inproceedings{Kleinberg:2008:BOS:1374376.1376994,
	Acmid = {1376994},
	Address = {New York, NY, USA},
	Author = {Kleinberg, Jon and Tardos, \'{E}va},
	Booktitle = {Proc. of the 40th Annual ACM Symposium on Theory of Computing},
	Doi = {10.1145/1374376.1376994},
	Isbn = {978-1-60558-047-0},
	Keywords = {bargaining, game theory, network exchange theory, social networks},
	Location = {Victoria, British Columbia, Canada},
	Numpages = {10},
	Pages = {295--304},
	Publisher = {ACM},
	Series = {STOC '08},
	Title = {Balanced Outcomes in Social Exchange Networks},
	Url = {http://doi.acm.org/10.1145/1374376.1376994},
	Year = {2008},
	Bdsk-Url-1 = {http://doi.acm.org/10.1145/1374376.1376994},
	Bdsk-Url-2 = {http://dx.doi.org/10.1145/1374376.1376994}}

@article{sharma2009,
	Author = {Sharma, Yogeshwer and Williamson, David P},
	Journal = {Games and Economic Behavior},
	Number = {1},
	Pages = {174--190},
	Publisher = {Elsevier},
	Title = {Stackelberg thresholds in network routing games or the value of altruism},
	Volume = {67},
	Year = {2009}}

@book{cranor2000,
	Author = {Cranor, Lorrie Faith and Reagle, Joseph and Ackerman, Mark S},
	Publisher = {Cambridge, MA: MIT Press},
	Title = {Beyond concern: Understanding net users' attitudes about online privacy},
	Year = {2000}}

@article{bacsar2002,
	Author = {Ba{\c{s}}ar, T and Srikant, R},
	Journal = {Journal of optimization theory and applications},
	Number = {3},
	Pages = {479--490},
	Publisher = {Springer},
	Title = {A Stackelberg network game with a large number of followers},
	Volume = {115},
	Year = {2002}}

@article{korilis1997,
	Author = {Korilis, Yannis A and Lazar, Aurel A and Orda, Ariel},
	Journal = {IEEE/ACM Transactions on Networking (TON)},
	Number = {1},
	Pages = {161--173},
	Publisher = {IEEE Press},
	Title = {Achieving network optima using Stackelberg routing strategies},
	Volume = {5},
	Year = {1997}}

@inproceedings{Ackerman:1999,
	Acmid = {336995},
	Address = {New York, NY, USA},
	Author = {Ackerman, Mark S. and Cranor, Lorrie Faith and Reagle, Joseph},
	Booktitle = {Proc. of the 1st ACM Conference on Electronic Commerce},
	Doi = {10.1145/336992.336995},
	Isbn = {1-58113-176-3},
	Keywords = {Platform for Privacy Preferences, World Wide Web, electronic commerce, privacy, privacy protocols, user survey},
	Location = {Denver, Colorado, USA},
	Numpages = {8},
	Pages = {1--8},
	Publisher = {ACM},
	Series = {EC '99},
	Title = {Privacy in e-Commerce: Examining User Scenarios and Privacy Preferences},
	Url = {http://doi.acm.org/10.1145/336992.336995},
	Year = {1999},
	Bdsk-Url-1 = {http://doi.acm.org/10.1145/336992.336995},
	Bdsk-Url-2 = {http://dx.doi.org/10.1145/336992.336995}}

@inproceedings{Chierichetti:2012:VLI:2095116.2095198,
	Acmid = {2095198},
	Author = {Chierichetti, Flavio and Kleinberg, Jon},
	Booktitle = {Proc. of the Twenty-Third Annual ACM-SIAM Symposium on Discrete Algorithms},
	Location = {Kyoto, Japan},
	Numpages = {20},
	Pages = {1036--1055},
	Publisher = {SIAM},
	Series = {SODA '12},
	Title = {Voting with Limited Information and Many Alternatives},
	Url = {http://dl.acm.org/citation.cfm?id=2095116.2095198},
	Year = {2012},
	Bdsk-Url-1 = {http://dl.acm.org/citation.cfm?id=2095116.2095198}}

 

@inproceedings{Alpcan:2010:GTM:1755688.1755735,
	Acmid = {1755735},
	Address = {New York, NY, USA},
	Author = {Alpcan, Tansu and \"{O}rencik, Cengiz and Levi, Albert and Sava\c{s}, Erkay},
	Booktitle = {Proc. of the 5th ACM Symposium on Information, Computer and Communications Security},
	Doi = {10.1145/1755688.1755735},
	Isbn = {978-1-60558-936-7},
	Keywords = {digital identity, game theory, online communities, trust},
	Location = {Beijing, China},
	Numpages = {4},
	Pages = {341--344},
	Publisher = {ACM},
	Series = {ASIACCS '10},
	Title = {A Game Theoretic Model for Digital Identity and Trust in Online Communities},
	Url = {http://doi.acm.org/10.1145/1755688.1755735},
	Year = {2010},
	Bdsk-Url-1 = {http://doi.acm.org/10.1145/1755688.1755735},
	Bdsk-Url-2 = {http://dx.doi.org/10.1145/1755688.1755735}}

@article{homophily,
	Abstract = {{Similarity breeds connection. This principle---the homophily principle---structures network ties of every type, including marriage, friendship, work, advice, support, information transfer, exchange, comembership, and other types of relationship. The result is that people's personal networks are homogeneous with regard to many sociodemographic, behavioral, and intrapersonal characteristics. Homophily limits people's social worlds in a way that has powerful implications for the information they receive, the attitudes they form, and the interactions they experience. Homophily in race and ethnicity creates the strongest divides in our personal environments, with age, religion, education, occupation, and gender following in roughly that order. Geographic propinquity, families, organizations, and isomorphic positions in social systems all create contexts in which homophilous relations form. Ties between nonsimilar individuals also dissolve at a higher rate, which sets the stage for the formation of niches (localized positions) within social space. We argue for more research on: (a) the basic ecological processes that link organizations, associations, cultural communities, social movements, and many other social forms; (b) the impact of multiplex ties on the patterns of homophily; and (c) the dynamics of network change over time through which networks and other social entities co-evolve.}},
	Author = {Mcpherson, Miller and Smith-Lovin, Lynn and Cook, James M.},
	Citeulike-Article-Id = {2883600},
	Journal = {Annual Review of Sociology},
	Keywords = {homophily, networks, social},
	Pages = {415--444},
	Posted-At = {2012-02-01 19:17:41},
	Priority = {2},
	Title = {{Birds of a Feather: Homophily in Social Networks}},
	Volume = {27},
	Year = {2001}}

@book{Intriligator:2002,
	Author = {Intriligator, Michael D.},
	Citeulike-Article-Id = {9738591},
	Citeulike-Linkout-0 = {http://www.amazon.ca/exec/obidos/redirect?tag=citeulike09-20\&amp;path=ASIN/0898715113},
	Citeulike-Linkout-1 = {http://www.amazon.de/exec/obidos/redirect?tag=citeulike01-21\&amp;path=ASIN/0898715113},
	Citeulike-Linkout-2 = {http://www.amazon.fr/exec/obidos/redirect?tag=citeulike06-21\&amp;path=ASIN/0898715113},
	Citeulike-Linkout-3 = {http://www.amazon.jp/exec/obidos/ASIN/0898715113},
	Citeulike-Linkout-4 = {http://www.amazon.co.uk/exec/obidos/ASIN/0898715113/citeulike00-21},
	Citeulike-Linkout-5 = {http://www.amazon.com/exec/obidos/redirect?tag=citeulike07-20\&path=ASIN/0898715113},
	Citeulike-Linkout-6 = {http://www.worldcat.org/isbn/0898715113},
	Citeulike-Linkout-7 = {http://books.google.com/books?vid=ISBN0898715113},
	Citeulike-Linkout-8 = {http://www.amazon.com/gp/search?keywords=0898715113\&index=books\&linkCode=qs},
	Citeulike-Linkout-9 = {http://www.librarything.com/isbn/0898715113},
	Day = {07},
	Edition = {1st},
	Howpublished = {Paperback},
	Isbn = {0898715113},
	Keywords = {economics, mathematics},
	Month = mar,
	Posted-At = {2011-09-05 02:40:23},
	Priority = {2},
	Publisher = {Society for Industrial Mathematics},
	Title = {{Mathematical Optimization and Economic Theory (Classics in Applied Mathematics)}},
	Url = {http://www.amazon.com/exec/obidos/redirect?tag=citeulike07-20\&path=ASIN/0898715113},
	Year = {2002},
	Bdsk-Url-1 = {http://www.amazon.com/exec/obidos/redirect?tag=citeulike07-20%5C&path=ASIN/0898715113}}

@book{grant2003,
	Address = {Malden, MA},
	Author = {Grant, Robert},
	Isbn = {1405111801},
	Publisher = {Blackwell},
	Title = {Cases in contemporary strategy analysis},
	Year = {2003}}

@article{doi:10.1080/0233193031000149894,
	Author = {Dempe, Stephan},
	Doi = {10.1080/0233193031000149894},
	Journal = {Optimization},
	Number = {3},
	Pages = {333-359},
	Title = {Annotated Bibliography on Bilevel Programming and Mathematical Programs with Equilibrium Constraints},
	Volume = {52},
	Year = {2003},
	Bdsk-Url-1 = {http://dx.doi.org/10.1080/0233193031000149894}}

@article{Sinha:2014:FOS:2537180.2537514,
	Acmid = {2537514},
	Address = {Oxford, UK, UK},
	Author = {Sinha, Ankur and Malo, Pekka and Frantsev, Anton and Deb, Kalyanmoy},
	Doi = {10.1016/j.cor.2013.07.010},
	Issn = {0305-0548},
	Issue_Date = {January, 2014},
	Journal = {Comput. Oper. Res.},
	Keywords = {Bilevel optimization, Evolutionary algorithm, Game theory, Multi-leader-follower problem, Stackelberg games},
	Month = jan,
	Numpages = {12},
	Pages = {374--385},
	Publisher = {Elsevier Science Ltd.},
	Title = {Finding Optimal Strategies in a Multi-period Multi-leader-follower Stackelberg Game Using an Evolutionary Algorithm},
	Url = {http://dx.doi.org/10.1016/j.cor.2013.07.010},
	Volume = {41},
	Year = {2014},
	Bdsk-Url-1 = {http://dx.doi.org/10.1016/j.cor.2013.07.010}}


@inproceedings{pant2020,
  title={BERT-based Ensembles for Modeling Disclosure and Support in Conversational Social Media Text.},
  author={Pant, Kartikey and Dadu, Tanvi and Mamidi, Radhika},
  booktitle={AffCon@ AAAI},
  pages={130--139},
  year={2020}
}

@inproceedings{griffin2019,
  title={Power Law Public Goods Game for Personal Information Sharing in News Commentaries},
  author={Griffin, Christopher and Rajtmajer, Sarah and Umar, Prasanna and Squicciarini, Anna},
  booktitle={International Conference on Decision and Game Theory for Security},
  pages={184--195},
  year={2019},
  organization={Springer}
}
@article{Watts-Colective-1998,
	Added-At = {2013-09-30T19:50:39.000+0200},
	Author = {Watts, D.J. and Strogatz, S.H.},
	Biburl = {http://www.bibsonomy.org/bibtex/2f4e723d191c93ba5e08de21abeedef41/celiofariajr},
	Interhash = {02e54cb4f5d01567f9d4d2bfd5ca6587},
	Intrahash = {f4e723d191c93ba5e08de21abeedef41},
	Journal = {Nature},
	Keywords = {allocation law networks smallworld},
	Number = 393,
	Pages = {440-442},
	Timestamp = {2013-09-30T19:50:39.000+0200},
	Title = {Collective dynamics of 'small-world' networks},
	Year = 1998}

@article{Fortunato201075,
	Author = {Santo Fortunato},
	Issn = {0370-1573},
	Journal = {Physics Reports},
	Keywords = {Statistical physics},
	Number = {3--5},
	Pages = {75 - 174},
	Title = {Community detection in graphs},
	Volume = {486},
	Year = {2010}}

@article{DBLP:journals/corr/abs-1201-6488,
	Author = {Ilya Safro and Peter Sanders and Christian Schulz},
	Bibsource = {DBLP, http://dblp.uni-trier.de},
	Ee = {http://arxiv.org/abs/1201.6488},
	Journal = {CoRR},
	Title = {Advanced Coarsening Schemes for Graph Partitioning},
	Volume = {abs/1201.6488},
	Year = {2012}}

@article{auer2012graph,
	Author = {Auer, B.O.F. and Bisseling, RH},
	Title = {Graph Coarsening and Clustering on the GPU},
	Year = {2012}}

@incollection{Acquisti2006,
	Author = {Acquisti, Alessandro and Gross, Ralph},
	Booktitle = {Privacy Enhancing Technologies},
	Doi = {10.1007/11957454_3},
	Editor = {Danezis, George and Golle, Philippe},
	Isbn = {978-3-540-68790-0},
	Language = {English},
	Pages = {36-58},
	Publisher = {Springer Berlin Heidelberg},
	Series = {Lecture Notes in Computer Science},
	Title = {Imagined Communities: Awareness, Information Sharing, and Privacy on the Facebook},
	Url = {http://dx.doi.org/10.1007/11957454_3},
	Volume = {4258},
	Year = {2006},
	Bdsk-Url-1 = {http://dx.doi.org/10.1007/11957454_3}}

@inproceedings{Gross2005a,
	Abstract = {{Participation in social networking sites has dramatically increased in recent years. Services such as Friendster, Tribe, or the Facebook allow millions of individuals to create online profiles and share personal information with vast networks of friends - and, often, unknown numbers of strangers. In this paper we study patterns of information revelation in online social networks and their privacy implications. We analyze the online behavior of more than 4,000 Carnegie Mellon University students who have joined a popular social networking site catered to colleges. We evaluate the amount of information they disclose and study their usage of the site's privacy settings. We highlight potential attacks on various aspects of their privacy, and we show that only a minimal percentage of users changes the highly permeable privacy preferences.}},
	Address = {New York, NY, USA},
	Author = {Gross, Ralph and Acquisti, Alessandro},
	Booktitle = {Proc. of the 2005 ACM workshop on Privacy in the electronic society},
	Citeulike-Article-Id = {480486},
	Citeulike-Linkout-0 = {http://portal.acm.org/citation.cfm?id=1102214},
	Citeulike-Linkout-1 = {http://dx.doi.org/10.1145/1102199.1102214},
	Doi = {10.1145/1102199.1102214},
	Isbn = {1-59593-228-3},
	Keywords = {facebook, information, motivation, networking, online, privacy, revelation, sites, social, uses},
	Location = {Alexandria, VA, USA},
	Pages = {71--80},
	Posted-At = {2013-08-18 07:40:56},
	Priority = {2},
	Publisher = {ACM},
	Series = {WPES '05},
	Title = {{Information revelation and privacy in online social networks}},
	Url = {http://dx.doi.org/10.1145/1102199.1102214},
	Year = {2005},
	Bdsk-Url-1 = {http://dx.doi.org/10.1145/1102199.1102214}}

@inproceedings{Krishnamurthy2008,
	Abstract = {{Online social networks (OSNs) with half a billion users have dramatically raised concerns on privacy leakage. Users, often willingly, share personal identifying information about themselves, but do not have a clear idea of who accesses their private information or what portion of it really needs to be accessed. In this study we examine popular OSNs from a viewpoint of characterizing potential privacy leakage. Our study identifies what bits of information are currently being shared, how widely, and what users can do to prevent such sharing. We also examine the role of third-party sites that track OSN users and compare with privacy leakage on popular traditional Web sites. Our long term goal is to identify the narrow set of private information that users really need to share to accomplish specific interactions on OSNs.}},
	Address = {New York, NY, USA},
	Author = {Krishnamurthy, Balachander and Wills, Craig E.},
	Booktitle = {Proc. of the first workshop on Online social networks},
	Citeulike-Article-Id = {4184612},
	Citeulike-Linkout-0 = {http://portal.acm.org/citation.cfm?id=1397744},
	Citeulike-Linkout-1 = {http://dx.doi.org/10.1145/1397735.1397744},
	Doi = {10.1145/1397735.1397744},
	Isbn = {978-1-60558-182-8},
	Keywords = {network, osn, privacy, social},
	Location = {Seattle, WA, USA},
	Pages = {37--42},
	Posted-At = {2012-04-01 17:59:40},
	Priority = {2},
	Publisher = {ACM},
	Series = {WOSN '08},
	Title = {{Characterizing privacy in online social networks}},
	Url = {http://dx.doi.org/10.1145/1397735.1397744},
	Year = {2008},
	Bdsk-Url-1 = {http://dx.doi.org/10.1145/1397735.1397744}}

@inproceedings{Krishnamurthy2008b,
	Acmid = {1397741},
	Address = {New York, NY, USA},
	Author = {Krishnamurthy, Balachander and Gill, Phillipa and Arlitt, Martin},
	Booktitle = {Proc. of the First Workshop on Online Social Networks},
	Doi = {10.1145/1397735.1397741},
	Isbn = {978-1-60558-182-8},
	Keywords = {measurement, online social networks},
	Location = {Seattle, WA, USA},
	Numpages = {6},
	Pages = {19--24},
	Publisher = {ACM},
	Series = {WOSN '08},
	Title = {A Few Chirps About Twitter},
	Url = {http://doi.acm.org/10.1145/1397735.1397741},
	Year = {2008},
	Bdsk-Url-1 = {http://doi.acm.org/10.1145/1397735.1397741},
	Bdsk-Url-2 = {http://dx.doi.org/10.1145/1397735.1397741}}

@inproceedings{Fiesler2015,
	Abstract = {{Copyright law is increasingly relevant to everyday interactions online, from social media status updates to artists showcasing their work. This is especially true in creative spaces where rules about reuse and remix are notoriously gray. Based on a content analysis of public forum postings in eight different online communities featuring different media types (music, video, art, and writing), we found that copyright is a frequent topic of conversation and that much of this discourse stems from problems that copyright causes for creative activities. We identify the major types of problems encountered, including chilling effects that negatively impact technology use. We find that many challenges can be explained by lack of knowledge about legal or policy rules, including breakdowns in user expectations for the sites they use. We argue that lack of clarity is a pervasive usability problem that should be considered more carefully in the design of user-generated content platforms.}},
	Address = {New York, NY, USA},
	Author = {Fiesler, Casey and Feuston, Jessica L. and Bruckman, Amy S.},
	Booktitle = {Proc. of the 18th ACM Conference on Computer Supported Cooperative Work \&\#38; Social Computing},
	Citeulike-Article-Id = {13553578},
	Citeulike-Linkout-0 = {http://portal.acm.org/citation.cfm?id=2675133.2675234},
	Citeulike-Linkout-1 = {http://dx.doi.org/10.1145/2675133.2675234},
	Doi = {10.1145/2675133.2675234},
	Isbn = {978-1-4503-2922-4},
	Keywords = {artists, copyright, creative-commons, creativity, online-communities},
	Location = {Vancouver, BC, Canada},
	Pages = {116--129},
	Posted-At = {2015-03-18 11:47:25},
	Priority = {2},
	Publisher = {ACM},
	Series = {CSCW '15},
	Title = {{Understanding Copyright Law in Online Creative Communities}},
	Url = {http://dx.doi.org/10.1145/2675133.2675234},
	Year = {2015},
	Bdsk-Url-1 = {http://dx.doi.org/10.1145/2675133.2675234}}

@inproceedings{Simpson2008,
	Abstract = {{The increasing popularity in social network web sites is giving rise to new classes of security and privacy concerns. The effective management of these threats will require a three-pronged approach, involving a combination of social, legal and technical solutions. At the heart of the issue is the notion of trust: in sharing personal data, individuals are placing their trust not only in those responsible for these sites, but in other members of their virtual communities. In this paper we draw parallels with the issues of data sharing and trust that have arisen in the e-* (by which we mean e-Science, e-Research, e-Health, e-Business, etc.) arenas. Specifically, we concern ourselves with authorisation, and argue that members of such social networks should have the opportunity to construct fine-grained access control policies that meet their particular requirements and circumstances, and, in addition, should be able to observe appropriate audit information.}},
	Address = {New York, NY, USA},
	Author = {Simpson, Andrew},
	Booktitle = {Proc. of the workshop on Security in Opportunistic and SOCial networks},
	Citeulike-Article-Id = {9123202},
	Citeulike-Linkout-0 = {http://portal.acm.org/citation.cfm?id=1461470},
	Citeulike-Linkout-1 = {http://dx.doi.org/10.1145/1461469.1461470},
	Doi = {10.1145/1461469.1461470},
	Keywords = {access-control},
	Location = {Istanbul, Turkey},
	Posted-At = {2011-10-05 14:57:09},
	Priority = {2},
	Publisher = {ACM},
	Series = {SOSOC '08},
	Title = {{On the need for user-defined fine-grained access control policies for social networking applications}},
	Url = {http://dx.doi.org/10.1145/1461469.1461470},
	Year = {2008},
	Bdsk-Url-1 = {http://dx.doi.org/10.1145/1461469.1461470}}

@inproceedings{Bilge2009,
	Abstract = {{Social networking sites have been increasingly gaining popularity. Well-known sites such as Facebook have been reporting growth rates as high as 3\% per week. Many social networking sites have millions of registered users who use these sites to share photographs, contact long-lost friends, establish new business contacts and to keep in touch. In this paper, we investigate how easy it would be for a potential attacker to launch automated crawling and identity theft attacks against a number of popular social networking sites in order to gain access to a large volume of personal user information. The first attack we present is the automated identity theft of existing user profiles and sending of friend requests to the contacts of the cloned victim. The hope, from the attacker's point of view, is that the contacted users simply trust and accept the friend request. By establishing a friendship relationship with the contacts of a victim, the attacker is able to access the sensitive personal information provided by them. In the second, more advanced attack we present, we show that it is effective and feasible to launch an automated, cross-site profile cloning attack. In this attack, we are able to automatically create a forged profile in a network where the victim is not registered yet and contact the victim's friends who are registered on both networks. Our experimental results with real users show that the automated attacks we present are effective and feasible in practice.}},
	Address = {New York, NY, USA},
	Author = {Bilge, Leyla and Strufe, Thorsten and Balzarotti, Davide and Kirda, Engin},
	Booktitle = {Proc. of the 18th International Conference on World Wide Web},
	Citeulike-Article-Id = {4539939},
	Citeulike-Linkout-0 = {http://portal.acm.org/citation.cfm?id=1526709.1526784},
	Citeulike-Linkout-1 = {http://dx.doi.org/10.1145/1526709.1526784},
	Doi = {10.1145/1526709.1526784},
	Isbn = {978-1-60558-487-4},
	Keywords = {identity, online-social-networks, phishing, security},
	Location = {Madrid, Spain},
	Pages = {551--560},
	Posted-At = {2009-05-18 14:43:48},
	Priority = {2},
	Publisher = {ACM},
	Series = {WWW '09},
	Title = {{All Your Contacts Are Belong to Us: Automated Identity Theft Attacks on Social Networks}},
	Url = {http://dx.doi.org/10.1145/1526709.1526784},
	Year = {2009},
	Bdsk-Url-1 = {http://dx.doi.org/10.1145/1526709.1526784}}

@article{Jagatic2007,
	Abstract = {{Sometimes a "friendly" email message tempts recipients to reveal more online than they otherwise would, playing right into the sender's hand.}},
	Address = {New York, NY, USA},
	Author = {Jagatic, Tom N. and Johnson, Nathaniel A. and Jakobsson, Markus and Menczer, Filippo},
	Citeulike-Article-Id = {2611324},
	Citeulike-Linkout-0 = {http://portal.acm.org/citation.cfm?id=1290958.1290968},
	Citeulike-Linkout-1 = {http://dx.doi.org/10.1145/1290958.1290968},
	Doi = {10.1145/1290958.1290968},
	Issn = {0001-0782},
	Journal = {Communications of the ACM},
	Keywords = {experiments, phishing, social, user-study},
	Month = oct,
	Number = {10},
	Pages = {94--100},
	Posted-At = {2010-09-17 09:39:07},
	Priority = {2},
	Publisher = {ACM},
	Title = {{Social phishing}},
	Url = {http://dx.doi.org/10.1145/1290958.1290968},
	Volume = {50},
	Year = {2007},
	Bdsk-Url-1 = {http://dx.doi.org/10.1145/1290958.1290968}}

@inproceedings{Lindamood2009,
	Abstract = {{On-line social networks, such as Facebook, are increasingly utilized by many users. These networks allow people to publish details about themselves and connect to their friends. Some of the information revealed inside these networks is private and it is possible that corporations could use learning algorithms on the released data to predict undisclosed private information. In this paper, we explore how to launch inference attacks using released social networking data to predict undisclosed private information about individuals. We then explore the effectiveness of possible sanitization techniques that can be used to combat such inference attacks under different scenarios.}},
	Address = {New York, NY, USA},
	Author = {Lindamood, Jack and Heatherly, Raymond and Kantarcioglu, Murat and Thuraisingham, Bhavani},
	Booktitle = {WWW '09: Proc. of the 18th international conference on World wide web},
	Citeulike-Article-Id = {4539964},
	Citeulike-Linkout-0 = {http://portal.acm.org/citation.cfm?id=1526709.1526899},
	Citeulike-Linkout-1 = {http://dx.doi.org/10.1145/1526709.1526899},
	Doi = {10.1145/1526709.1526899},
	Isbn = {978-1-60558-487-4},
	Keywords = {anonymity, online-social-networks, privacy, pvnets, security},
	Location = {Madrid, Spain},
	Month = apr,
	Pages = {1145--1146},
	Posted-At = {2009-05-18 14:48:08},
	Priority = {2},
	Publisher = {ACM},
	Title = {{Inferring private information using social network data}},
	Url = {http://dx.doi.org/10.1145/1526709.1526899},
	Year = {2009},
	Bdsk-Url-1 = {http://dx.doi.org/10.1145/1526709.1526899}}

@article{Kayes2015,
	Author = {Kayes, Imrul and Iamnitchi, Adriana},
	Journal = {arXiv preprint arXiv:1504.03342},
	Title = {A Survey on Privacy and Security in Online Social Networks},
	Year = {2015}}

@article{Acquisti2015,
	Abstract = {This Review summarizes and draws connections between diverse streams of empirical research on privacy behavior. We use three themes to connect insights from social and behavioral sciences: people's uncertainty about the consequences of privacy-related behaviors and their own preferences over those consequences; the context-dependence of people's concern, or lack thereof, about privacy; and the degree to which privacy concerns are malleable---manipulable by commercial and governmental interests. Organizing our discussion by these themes, we offer observations concerning the role of public policy in the protection of privacy in the information age.},
	Author = {Acquisti, Alessandro and Brandimarte, Laura and Loewenstein, George},
	Doi = {10.1126/science.aaa1465},
	Eprint = {http://www.sciencemag.org/content/347/6221/509.full.pdf},
	Journal = {Science},
	Number = {6221},
	Pages = {509-514},
	Title = {Privacy and human behavior in the age of information},
	Url = {http://www.sciencemag.org/content/347/6221/509.abstract},
	Volume = {347},
	Year = {2015},
	Bdsk-Url-1 = {http://www.sciencemag.org/content/347/6221/509.abstract},
	Bdsk-Url-2 = {http://dx.doi.org/10.1126/science.aaa1465}}

@inproceedings{Liu2011,
	Abstract = {{The sharing of personal data has emerged as a popular activity over online social networking sites like Facebook. As a result, the issue of online social network privacy has received significant attention in both the research literature and the mainstream media. Our overarching goal is to improve defaults and provide better tools for managing privacy, but we are limited by the fact that the full extent of the privacy problem remains unknown; there is little quantification of the incidence of incorrect privacy settings or the difficulty users face when managing their privacy. In this paper, we focus on measuring the disparity between the desired and actual privacy settings, quantifying the magnitude of the problem of managing privacy. We deploy a survey, implemented as a Facebook application, to 200 Facebook users recruited via Amazon Mechanical Turk. We find that 36\% of content remains shared with the default privacy settings. We also find that, overall, privacy settings match users' expectations only 37\% of the time, and when incorrect, almost always expose content to more users than expected. Finally, we explore how our results have potential to assist users in selecting appropriate privacy settings by examining the user-created friend lists. We find that these have significant correlation with the social network, suggesting that information from the social network may be helpful in implementing new tools for managing privacy.}},
	Address = {New York, NY, USA},
	Author = {Liu, Yabing and Gummadi, Krishna P. and Krishnamurthy, Balachander and Mislove, Alan},
	Booktitle = {Proc. of the ACM SIGCOMM Internet Measurement Conference},
	Citeulike-Article-Id = {10094749},
	Citeulike-Linkout-0 = {http://portal.acm.org/citation.cfm?id=2068816.2068823},
	Citeulike-Linkout-1 = {http://dx.doi.org/10.1145/2068816.2068823},
	Doi = {10.1145/2068816.2068823},
	Isbn = {978-1-4503-1013-0},
	Keywords = {facebook, privacy, social-network-analysis, social-networks},
	Location = {Berlin, Germany},
	Month = nov,
	Pages = {61--70},
	Posted-At = {2011-12-06 15:57:25},
	Priority = {2},
	Publisher = {ACM},
	Series = {IMC '11},
	Title = {Analyzing {Facebook} privacy settings: user expectations vs. reality},
	Url = {http://dx.doi.org/10.1145/2068816.2068823},
	Year = {2011},
	Bdsk-Url-1 = {http://dx.doi.org/10.1145/2068816.2068823}}

@inproceedings{Griffin2014,
	Abstract = {{}},
	Address = {Stanford, CA, USA},
	Author = {Griffin, Christopher and Squicciarini, Anna and Rajtmajer, Sarah and Tentilucci, Matthew and Li, Shen},
	Booktitle = {Proc. of the ASE BIGDATA/SOCIALCOM/CYBERSECURITY Conference},
	Location = {Stanford, CA},
	Month = may,
	Publisher = {ASE},
	Series = {ASE '14},
	Title = {Site-Constrained Privacy Options for Users in Social Networks through Stackelberg Games},
	Year = {2014}}

@inproceedings{Squicciarini2010,
	Abstract = {{In this paper, we propose PriMa (<u>Pri</u>vacy <u>Ma</u>nager), a privacy protection mechanism which supports semi-automated generation of access rules for users' profile information. PriMa access rules are tailored by the users' privacy preferences for their profile data, the sensitivity of the data itself, and the objective risk of disclosing this data to other users. The resulting rules are simple, yet powerful specifications indicating the adequate level of protection for each user, and are dynamically adapted to the ever changing setting of the users' preferences and SN configuration.}},
	Author = {Squicciarini, Anna and Paci, Federica and Sundareswaran, Smitha},
	Booktitle = {Proc. of the 5th ACM Symposium on Information, Computer and Communications Security},
	Citeulike-Article-Id = {7795153},
	Citeulike-Linkout-0 = {http://portal.acm.org/citation.cfm?id=1755729},
	Citeulike-Linkout-1 = {http://dx.doi.org/10.1145/1755688.1755729},
	Doi = {10.1145/1755688.1755729},
	Isbn = {978-1-60558-936-7},
	Keywords = {adequate\_level, pr, prima, privacy\_preferences, profile\_data, protection\_mechanism},
	Location = {Beijing, China},
	Pages = {320--323},
	Posted-At = {2010-09-07 10:39:40},
	Priority = {2},
	Title = {{PriMa: an effective privacy protection mechanism for social networks}},
	Url = {http://dx.doi.org/10.1145/1755688.1755729},
	Year = {2010},
	Bdsk-Url-1 = {http://dx.doi.org/10.1145/1755688.1755729}}

@inproceedings{Fang2010,
	Abstract = {{Privacy is an enormous problem in online social networking sites. While sites such as Facebook allow users fine-grained control over who can see their profiles, it is difficult for average users to specify this kind of detailed policy. In this paper, we propose a template for the design of a social networking privacy wizard. The intuition for the design comes from the observation that real users conceive their privacy preferences (which friends should be able to see which information) based on an implicit set of rules. Thus, with a limited amount of user input, it is usually possible to build a machine learning model that concisely describes a particular user's preferences, and then use this model to configure the user's privacy settings automatically. As an instance of this general framework, we have built a wizard based on an active learning paradigm called uncertainty sampling. The wizard iteratively asks the user to assign privacy "labels" to selected ("informative") friends, and it uses this input to construct a classifier, which can in turn be used to automatically assign privileges to the rest of the user's (unlabeled) friends. To evaluate our approach, we collected detailed privacy preference data from 45 real Facebook users. Our study revealed two important things. First, real users tend to conceive their privacy preferences in terms of communities, which can easily be extracted from a social network graph using existing techniques. Second, our active learning wizard, using communities as features, is able to recommend high-accuracy privacy settings using less user input than existing policy-specification tools.}},
	Address = {New York, NY, USA},
	Author = {Fang, Lujun and LeFevre, Kristen},
	Booktitle = {Proc. of the 19th international conference on World wide web},
	Citeulike-Article-Id = {7097811},
	Citeulike-Linkout-0 = {http://portal.acm.org/citation.cfm?id=1772690.1772727},
	Citeulike-Linkout-1 = {http://dx.doi.org/10.1145/1772690.1772727},
	Doi = {10.1145/1772690.1772727},
	Isbn = {978-1-60558-799-8},
	Keywords = {active\_learning, privacy, social},
	Location = {Raleigh, NC, USA},
	Month = apr,
	Pages = {351--360},
	Posted-At = {2010-05-19 12:19:45},
	Priority = {0},
	Publisher = {ACM},
	Series = {WWW '10},
	Title = {{Privacy wizards for social networking sites}},
	Url = {http://dx.doi.org/10.1145/1772690.1772727},
	Year = {2010},
	Bdsk-Url-1 = {http://dx.doi.org/10.1145/1772690.1772727}}

@incollection{Brandtzaeg2009,
	Abstract = {{One of the recent popular social media platforms is the social networking site (SNS). Thus far, few previous studies have empirically investigated people's motivations for SNS usage, especially not outside the U.S. This study combines a large-scale quantitative and qualitative research design, by asking 1,200 SNS users an open question regarding their reasons for using SNSs. An important conclusion drawn from a preliminary content analysis is that people often report many motivational reasons for using SNSs . The most important reason is to get in contact with new people (31\%). The second most valued was to keep in touch with their friends (21\%), whereas the third was general socializing (14\%). A total of 11 different reasons and several sub-reasons were identified; that all give insight into the personal incentives that drive people to use SNSs and thus contribute to our understanding of how to develop successful social networking online.}},
	Address = {Berlin, Heidelberg},
	Author = {Brandtz{\ae}g, Petter and Heim, Jan},
	Booktitle = {Online Communities and Social Computing},
	Chapter = {16},
	Citeulike-Article-Id = {7118382},
	Citeulike-Linkout-0 = {http://dx.doi.org/10.1007/978-3-642-02774-1\_16},
	Citeulike-Linkout-1 = {http://www.springerlink.com/content/4n67771865ux8x25},
	Doi = {10.1007/978-3-642-02774-1\_16},
	Editor = {Ozok, A. and Zaphiris, Panayiotis},
	Isbn = {978-3-642-02773-4},
	Keywords = {networking, social},
	Pages = {143--152},
	Posted-At = {2012-08-20 21:21:42},
	Priority = {5},
	Publisher = {Springer Berlin / Heidelberg},
	Series = {Lecture Notes in Computer Science},
	Title = {{Why People Use Social Networking Sites Online Communities and Social Computing}},
	Url = {http://dx.doi.org/10.1007/978-3-642-02774-1\_16},
	Volume = {5621},
	Year = {2009},
	Bdsk-Url-1 = {http://dx.doi.org/10.1007/978-3-642-02774-1%5C_16}}

@article{Cheung2010,
	Abstract = {{The growth and popularity of online social networks has created a new world of collaboration and communication. More than a billion individuals around the world are connected and networked together to create, collaborate, and contribute their knowledge and wisdom. Despite the importance of online social networks, there is relatively little theory-driven empirical research available to address this new type of communication and interaction phenomena. In this paper, we explored the factors that drive students to use online social networks (e.g., Facebook). Specifically, we conceptualized the use of online social networks as intentional social action and we examined the relative impact of social influence, social presence, and the five key values from the uses and gratification paradigm on We-Intention to use online social networks. An empirical study of Facebook users (n = 182) revealed that We-Intention to use online social networks is strongly determined by social presence. Among the five values, social related factors had the most significant impact on the intention to use. Implications for research and practice are discussed.}},
	Author = {Cheung, Christy M. K. and Chiu, Pui-Yee and Lee, Matthew K. O.},
	Citeulike-Article-Id = {7716832},
	Citeulike-Linkout-0 = {http://dx.doi.org/10.1016/j.chb.2010.07.028},
	Day = {21},
	Doi = {10.1016/j.chb.2010.07.028},
	Issn = {07475632},
	Journal = {Computers in Human Behavior},
	Keywords = {facebook, for:fehmi, online-social-networks},
	Month = jul,
	Number = {4},
	Pages = {1337--1343},
	Posted-At = {2011-03-10 21:47:06},
	Priority = {2},
	Title = {{Online social networks: Why do students use facebook?}},
	Url = {http://dx.doi.org/10.1016/j.chb.2010.07.028},
	Volume = {27},
	Year = {2011},
	Bdsk-Url-1 = {http://dx.doi.org/10.1016/j.chb.2010.07.028}}

@article{Ellison2007,
	Abstract = {{This study examines the relationship between use of Facebook, a popular online social network site, and the formation and maintenance of social capital. In addition to assessing bonding and bridging social capital, we explore a dimension of social capital that assesses one's ability to stay connected with members of a previously inhabited community, which we call maintained social capital. Regression analyses conducted on results from a survey of undergraduate students (N = 286) suggest a strong association between use of Facebook and the three types of social capital, with the strongest relationship being to bridging social capital. In addition, Facebook usage was found to interact with measures of psychological well-being, suggesting that it might provide greater benefits for users experiencing low self-esteem and low life satisfaction.}},
	Author = {Ellison, Nicole B. and Steinfield, Charles and Lampe, Cliff},
	Citeulike-Article-Id = {1615880},
	Citeulike-Linkout-0 = {http://www.blackwell-synergy.com/doi/abs/10.1111/j.1083-6101.2007.00367.x},
	Citeulike-Linkout-1 = {http://dx.doi.org/10.1111/j.1083-6101.2007.00367.x},
	Citeulike-Linkout-2 = {http://www3.interscience.wiley.com/cgi-bin/abstract/117979349/ABSTRACT},
	Day = {1},
	Doi = {10.1111/j.1083-6101.2007.00367.x},
	Issn = {10836101},
	Journal = {Journal of Computer-Mediated Communication},
	Keywords = {capital, facebook, online, social},
	Month = jul,
	Number = {4},
	Pages = {1143--1168},
	Posted-At = {2014-07-29 13:01:27},
	Priority = {2},
	Publisher = {Blackwell Publishing Inc},
	Title = {{The Benefits of Facebook '' Friends:'' Social Capital and College Students' Use of Online Social Network Sites}},
	Url = {http://dx.doi.org/10.1111/j.1083-6101.2007.00367.x},
	Volume = {12},
	Year = {2007},
	Bdsk-Url-1 = {http://dx.doi.org/10.1111/j.1083-6101.2007.00367.x}}

@article{Suler2004,
	Abstract = {{While online, some people self-disclose or act out more frequently or intensely than they would in person. This article explores six factors that interact with each other in creating this online disinhibition effect: dissociative anonymity, invisibility, asynchronicity, solipsistic introjection, dissociative imagination, and minimization of authority. Personality variables also will influence the extent of this disinhibition. Rather than thinking of disinhibition as the revealing of an underlying "true self," we can conceptualize it as a shift to a constellation within self-structure, involving clusters of affect and cognition that differ from the in-person constellation.}},
	Address = {Department of Psychology, Rider University, Lawrenceville, New Jersey 08648, USA. suler@mindspring.com},
	Author = {Suler, J.},
	Citeulike-Article-Id = {555071},
	Citeulike-Linkout-0 = {http://dx.doi.org/10.1089/1094931041291295},
	Citeulike-Linkout-1 = {http://online.liebertpub.com/doi/abs/10.1089/1094931041291295},
	Citeulike-Linkout-2 = {http://view.ncbi.nlm.nih.gov/pubmed/15257832},
	Citeulike-Linkout-3 = {http://www.hubmed.org/display.cgi?uids=15257832},
	Day = {1},
	Doi = {10.1089/1094931041291295},
	Issn = {1094-9313},
	Journal = {Cyberpsychology \& Behavior},
	Keywords = {disinhibition, irc, psychology},
	Month = jun,
	Number = {3},
	Pages = {321--326},
	Pmid = {15257832},
	Posted-At = {2006-03-16 21:56:04},
	Priority = {2},
	Publisher = {Mary Ann Liebert, Inc., publishers},
	Title = {{The Online Disinhibition Effect}},
	Url = {http://dx.doi.org/10.1089/1094931041291295},
	Volume = {7},
	Year = {2004},
	Bdsk-Url-1 = {http://dx.doi.org/10.1089/1094931041291295}}

@article{Kirschner2010,
	Abstract = {{There is much talk of a change in modern youth -- often referred to as digital natives or Homo Zappiens -- with respect to their ability to simultaneously process multiple channels of information. In other words, kids today can multitask. Unfortunately for proponents of this position, there is much empirical documentation concerning the negative effects of attempting to simultaneously process different streams of information showing that such behavior leads to both increased study time to achieve learning parity and an increase in mistakes while processing information than those who are sequentially or serially processing that same information. This article presents the preliminary results of a descriptive and exploratory survey study involving Facebook use, often carried out simultaneously with other study activities, and its relation to academic performance as measured by self-reported Grade Point Average (GPA) and hours spent studying per week. Results show that Facebook{\textregistered} users reported having lower GPAs and spend fewer hours per week studying than nonusers.}},
	Address = {Amsterdam, The Netherlands, The Netherlands},
	Author = {Kirschner, Paul A. and Karpinski, Aryn C.},
	Citeulike-Article-Id = {7045841},
	Citeulike-Linkout-0 = {http://portal.acm.org/citation.cfm?id=1853385.1853527},
	Citeulike-Linkout-1 = {http://dx.doi.org/10.1016/j.chb.2010.03.024},
	Day = {17},
	Doi = {10.1016/j.chb.2010.03.024},
	Issn = {07475632},
	Journal = {Computers in Human Behavior},
	Keywords = {facebook},
	Month = nov,
	Number = {6},
	Pages = {1237--1245},
	Posted-At = {2012-05-11 18:40:36},
	Priority = {2},
	Publisher = {Elsevier Science Publishers B. V.},
	Title = {{Facebook{\textregistered} and academic performance}},
	Url = {http://dx.doi.org/10.1016/j.chb.2010.03.024},
	Volume = {26},
	Year = {2010},
	Bdsk-Url-1 = {http://dx.doi.org/10.1016/j.chb.2010.03.024}}

@article{Muise2009,
	Abstract = {{The social network site Facebook is a rapidly expanding phenomenon that is changing the nature of social relationships. Anecdotal evidence, including information described in the popular media, suggests that Facebook may be responsible for creating jealousy and suspicion in romantic relationships. The objectives of the present study were to explore the role of Facebook in the experience of jealousy and to determine if increased Facebook exposure predicts jealousy above and beyond personal and relationship factors. Three hundred eight undergraduate students completed an online survey that assessed demographic and personality factors and explored respondents' Facebook use. A hierarchical multiple regression analysis, controlling for individual, personality, and relationship factors, revealed that increased Facebook use significantly predicts Facebook-related jealousy. We argue that this effect may be the result of a feedback loop whereby using Facebook exposes people to often ambiguous information about their partner that they may not otherwise have access to and that this new information incites further Facebook use. Our study provides evidence of Facebook's unique contributions to the experience of jealousy in romantic relationships.}},
	Author = {Muise, Amy and Christofides, Emily and Desmarais, Serge},
	Citeulike-Article-Id = {4312335},
	Citeulike-Linkout-0 = {http://dx.doi.org/10.1089/cpb.2008.0263},
	Citeulike-Linkout-1 = {http://online.liebertpub.com/doi/abs/10.1089/cpb.2008.0263},
	Citeulike-Linkout-2 = {http://view.ncbi.nlm.nih.gov/pubmed/19366318},
	Citeulike-Linkout-3 = {http://www.hubmed.org/display.cgi?uids=19366318},
	Doi = {10.1089/cpb.2008.0263},
	Issn = {1094-9313},
	Journal = {CyberPsychology \& Behavior},
	Keywords = {facebook},
	Month = aug,
	Number = {4},
	Pages = {441--444},
	Pmid = {19366318},
	Posted-At = {2009-04-15 11:15:57},
	Priority = {2},
	Title = {{More Information than You Ever Wanted: Does Facebook Bring Out the Green-Eyed Monster of Jealousy?}},
	Url = {http://dx.doi.org/10.1089/cpb.2008.0263},
	Volume = {12},
	Year = {2009},
	Bdsk-Url-1 = {http://dx.doi.org/10.1089/cpb.2008.0263}}

@inproceedings{Hui2009,
	Abstract = {{In this paper, we present a horizontal view of social influence, more specifically a quantitative study of the influence of neighbours on the probability of a particular node to join a group, on four popular Online Social Networks (OSNs), namely Orkut, YouTube, LiveJournal, and Flickr. Neighbours in OSNs have a mutually acknowledged relation, most often defined as friendship, and they are directly connected on a graph of a social network. Users in OSNs can also join groups of users. These groups represent common areas of interest.We present a simple social influence model to describe and explain the group joining process of users on OSNs. To this end, we extract the social influence from data sets of  OSNs of a million sample nodes. One of our findings is that a set of neighbours in the OSN is about \$100\$ times more powerful in influencing a user to join a group than the same number of strangers.}},
	Address = {Los Alamitos, CA, USA},
	Author = {Hui, Pan and Buchegger, Sonja},
	Booktitle = {2009 International Conference on Advances in Social Network Analysis and Mining (ASONAM)},
	Citeulike-Article-Id = {7132045},
	Citeulike-Linkout-0 = {http://doi.ieeecomputersociety.org/10.1109/ASONAM.2009.17},
	Citeulike-Linkout-1 = {http://dx.doi.org/10.1109/asonam.2009.17},
	Doi = {10.1109/asonam.2009.17},
	Isbn = {978-0-7695-3689-7},
	Keywords = {influence, online-social-networks, social-networks},
	Location = {Athens, Greece},
	Month = jul,
	Pages = {53--59},
	Posted-At = {2010-05-06 12:56:38},
	Priority = {2},
	Publisher = {IEEE},
	Title = {{Groupthink and Peer Pressure: Social Influence in Online Social Network Groups}},
	Url = {http://dx.doi.org/10.1109/asonam.2009.17},
	Year = {2009},
	Bdsk-Url-1 = {http://dx.doi.org/10.1109/asonam.2009.17}}

@article{Park2009,
	Abstract = {{A Web survey of 1,715 college students was conducted to examine Facebook Groups users' gratifications and the relationship between users' gratifications and their political and civic participation offline. A factor analysis revealed four primary needs for participating in groups within Facebook: socializing, entertainment, self-status seeking, and information. These gratifications vary depending on user demographics such as gender, hometown, and year in school. The analysis of the relationship between users' needs and civic and political participation indicated that, as predicted, informational uses were more correlated to civic and political action than to recreational uses.}},
	Author = {Park, Namsu and Kee, Kerk and Valenzuela, Sebasti\'{a}n},
	Citeulike-Article-Id = {5846248},
	Citeulike-Linkout-0 = {http://dx.doi.org/10.1089/cpb.2009.0003},
	Citeulike-Linkout-1 = {http://view.ncbi.nlm.nih.gov/pubmed/19619037},
	Citeulike-Linkout-2 = {http://www.hubmed.org/display.cgi?uids=19619037},
	Day = {20},
	Doi = {10.1089/cpb.2009.0003},
	Issn = {1094-9313},
	Journal = {CyberPsychology \& Behavior},
	Keywords = {facebook, uses-gratification},
	Month = dec,
	Number = {6},
	Pages = {729--733},
	Pmid = {19619037},
	Posted-At = {2009-12-09 05:25:30},
	Priority = {2},
	Title = {{Being Immersed in Social Networking Environment: Facebook Groups, Uses and Gratifications, and Social Outcomes}},
	Volume = {12},
	Year = {2009},
	Bdsk-Url-1 = {http://dx.doi.org/10.1089/cpb.2009.0003}}

@article{Barker2009,
	Author = {Barker, Valerie},
	Citeulike-Article-Id = {5650377},
	Citeulike-Linkout-0 = {http://dx.doi.org/10.1089/cpb.2008.0228},
	Doi = {10.1089/cpb.2008.0228},
	Issn = {1094-9313},
	Journal = {CyberPsychology \& Behavior},
	Keywords = {adolescents, esteem, networking, older, self, sites, social},
	Month = apr,
	Number = {2},
	Pages = {209--213},
	Posted-At = {2009-08-26 13:33:29},
	Priority = {3},
	Title = {{Older Adolescents' Motivations for Social Network Site Use: The Influence of Gender, Group Identity, and Collective Self-Esteem}},
	Url = {http://dx.doi.org/10.1089/cpb.2008.0228},
	Volume = {12},
	Year = {2009},
	Bdsk-Url-1 = {http://dx.doi.org/10.1089/cpb.2008.0228}}

@inproceedings{Squicciarini2009,
	Abstract = {{Social Networking is one of the major technological phenomena of the Web 2.0, with hundreds of millions of people participating. Social networks enable a form of self expression for users, and help them to socialize and share content with other users. In spite of the fact that content sharing represents one of the prominent features of existing Social Network sites, Social Networks yet do not support any mechanism for collaborative management of privacy settings for shared content. In this paper, we model the problem of collaborative enforcement of privacy policies on shared data by using game theory. In particular, we propose a solution that offers automated ways to share images based on an extended notion of content ownership. Building upon the Clarke-Tax mechanism, we describe a simple mechanism that promotes truthfulness, and that rewards users who promote co-ownership. We integrate our design with inference techniques that free the users from the burden of manually selecting privacy preferences for each picture. To the best of our knowledge this is the first time such a protection mechanism for Social Networking has been proposed. In the paper, we also show a proof-of-concept application, which we implemented in the context of Facebook, one of today's most popular social networks. We show that supporting these type of solutions is not also feasible, but can be implemented through a minimal increase in overhead to end-users.}},
	Address = {New York, NY, USA},
	Author = {Squicciarini, Anna C. and Shehab, Mohamed and Paci, Federica},
	Booktitle = {WWW '09},
	Citeulike-Article-Id = {4539971},
	Citeulike-Linkout-0 = {http://portal.acm.org/citation.cfm?id=1526709.1526780},
	Citeulike-Linkout-1 = {http://dx.doi.org/10.1145/1526709.1526780},
	Doi = {10.1145/1526709.1526780},
	Isbn = {978-1-60558-487-4},
	Keywords = {2009, privacy, social\_network, www},
	Location = {Madrid, Spain},
	Pages = {521--530},
	Posted-At = {2009-08-29 08:44:38},
	Priority = {2},
	Publisher = {ACM},
	Title = {{Collective privacy management in social networks}},
	Year = {2009},
	Bdsk-Url-1 = {http://dx.doi.org/10.1145/1526709.1526780}}

@inproceedings{Chen2013,
	Author = {Chen, Jundong and Brust, Matthias R. and Kiremire, Ankunda R. and Phoha, Vir V.},
	Booktitle = {Collaborative Computing: Networking, Applications and Worksharing (Collaboratecom), 2013 9th International Conference Conference on},
	Citeulike-Article-Id = {12849515},
	Citeulike-Linkout-0 = {http://ieeexplore.ieee.org/xpls/abs\_all.jsp?arnumber=6679987},
	Institution = {Center for Secure Cyberspace, Louisiana Tech University, Ruston, LA71270, USA},
	Keywords = {for:yuchenzhao, game-theory, online-social-networks, privacy-settings},
	Month = oct,
	Pages = {213--220},
	Posted-At = {2013-12-17 09:42:18},
	Priority = {2},
	Publisher = {IEEE},
	Title = {{Modeling privacy settings of an online social network from a game-theoretical perspective}},
	Url = {http://ieeexplore.ieee.org/xpls/abs\_all.jsp?arnumber=6679987},
	Year = {2013},
	Bdsk-Url-1 = {http://ieeexplore.ieee.org/xpls/abs%5C_all.jsp?arnumber=6679987}}

@inproceedings{Squicciarini2012,
	Abstract = {{The emergence of online social networks and the growing popularity of digital communication has resulted in an increasingly amount of information about individuals available on the Internet. Social network users are given the freedom to create complex digital identities, and enrich them with truthful or even fake personal information. However, this freedom has led to serious security and privacy incidents, due to the role users' identities play in establishing social and privacy settings. In this paper, we take a step toward a better understanding of online information exposure. Based on the detailed analysis of a sample of real-world data, we develop a deception model for online users. The model uses a game theoretic approach to characterizing a user's willingness to release, withhold or lie about information depending on the behavior of individuals within the user's circle of friends. In the model, we take into account both the heterogeneous nature of users and their different attitudes, as well as the different types of information they may expose online.}},
	Archiveprefix = {arXiv},
	Author = {Squicciarini, Anna and Griffin, Christopher},
	Booktitle = {Proc. of the Fourth IEEE International Conference on Information Privacy, Security, Risk and Trust},
	Citeulike-Article-Id = {10970698},
	Citeulike-Linkout-0 = {http://arxiv.org/abs/1206.0981},
	Citeulike-Linkout-1 = {http://arxiv.org/abs/1206.0981},
	Citeulike-Linkout-2 = {http://arxiv.org/pdf/1206.0981},
	Eprint = {1206.0981},
	Keywords = {for:isp, identity, online-social-networks, privacy, user-study},
	Location = {Amsterdam, The Netherlands},
	Month = sep,
	Posted-At = {2012-07-30 19:48:15},
	Priority = {2},
	Title = {{An Informed Model of Personal Information Release in Social Networking Sites}},
	Url = {http://arxiv.org/abs/1206.0981},
	Year = {2012},
	Bdsk-Url-1 = {http://arxiv.org/abs/1206.0981}}

@article{Squicciarini2010Privacy,
	Abstract = {{Social networking is one of the major technological phenomena of the Web 2.0, with hundreds of millions of subscribed users. Social networks enable a form of self-expression for users and help them to socialize and share content with other users. In spite of the fact that content sharing represents one of the prominent features of existing Social network sites, they do not provide any mechanisms for collective management of privacy settings for shared content. In this paper, using game theory, we model the problem of collective enforcement of privacy policies on shared data. In particular, we propose a solution that offers automated ways to share images based on an extended notion of content ownership. Building upon the Clarke-Tax mechanism, we describe a simple mechanism that promotes truthfulness and that rewards users who promote co-ownership. Our approach enables social network users to compose friendship based policies based on distances from an agreed upon central user selected using several social networks metrics. We integrate our design with inference techniques that free the users from the burden of manually selecting privacy preferences for each picture. To the best of our knowledge, this is the first time such a privacy protection mechanism for social networking has been proposed. We also extend our mechanism so as to support collective enforcement across multiple social network sites. In the paper, we also show a proof-of-concept application, which we implemented in the context of Facebook, one of today's most popular social networks. Through our implementation, we show the feasibility of such approach and show that it can be implemented with a minimal increase in overhead to end-users. We complete our analysis by conducting a user study to investigate users' understanding of co-ownership, usefulness and understanding of our approach. Users responded favorably to the approach, indicating a general understanding of co-ownership and the auction, and found the approach to be both useful and fair.}},
	Address = {Secaucus, NJ, USA},
	Author = {Squicciarini, Anna and Shehab, Mohamed and Wede, Joshua},
	Citeulike-Article-Id = {7422639},
	Citeulike-Linkout-0 = {http://portal.acm.org/citation.cfm?id=1921801},
	Citeulike-Linkout-1 = {http://dx.doi.org/10.1007/s00778-010-0193-7},
	Citeulike-Linkout-2 = {http://www.springerlink.com/content/f8105336537783mj},
	Doi = {10.1007/s00778-010-0193-7},
	Issn = {1066-8888},
	Journal = {The VLDB Journal},
	Keywords = {auctions, for:lukehutton, online-social-networks, privacy, privacy-policy, user-study},
	Month = dec,
	Number = {6},
	Pages = {777--796},
	Posted-At = {2011-02-13 00:28:15},
	Priority = {2},
	Publisher = {Springer-Verlag New York, Inc.},
	Title = {{Privacy policies for shared content in social network sites}},
	Url = {http://dx.doi.org/10.1007/s00778-010-0193-7},
	Volume = {19},
	Year = {2010},
	Bdsk-Url-1 = {http://dx.doi.org/10.1007/s00778-010-0193-7}}

@inproceedings{Squicciarini2011Towards,
	Author = {Anna Cinzia Squicciarini and Christopher Griffin and Smitha Sundareswaran},
	Bibsource = {dblp computer science bibliography, http://dblp.org},
	Biburl = {http://dblp.uni-trier.de/rec/bib/conf/socialcom/SquicciariniGS11},
	Booktitle = {PASSAT/SocialCom 2011, Boston, MA, USA, 9-11 Oct., 2011},
	Crossref = {DBLP:conf/socialcom/2011},
	Doi = {10.1109/PASSAT/SocialCom.2011.208},
	Pages = {1081--1088},
	Timestamp = {Sun, 05 May 2013 11:53:35 +0200},
	Title = {Towards a Game Theoretical Model for Identity Validation in Social Network Sites},
	Url = {http://doi.ieeecomputersociety.org/10.1109/PASSAT/SocialCom.2011.208},
	Year = {2011},
	Bdsk-Url-1 = {http://doi.ieeecomputersociety.org/10.1109/PASSAT/SocialCom.2011.208},
	Bdsk-Url-2 = {http://dx.doi.org/10.1109/PASSAT/SocialCom.2011.208}}

@article{Squicciarini2014,
	Author = {Anna Cinzia Squicciarini and Christopher Griffin},
	Bibsource = {dblp computer science bibliography, http://dblp.org},
	Biburl = {http://dblp.uni-trier.de/rec/bib/journals/snam/SquicciariniG14},
	Doi = {10.1007/s13278-014-0161-0},
	Journal = {Social Netw. Analys. Mining},
	Number = {1},
	Pages = {161},
	Timestamp = {Mon, 09 Mar 2015 17:25:00 +0100},
	Title = {Why and how to deceive: game results with sociological evidence},
	Url = {http://dx.doi.org/10.1007/s13278-014-0161-0},
	Volume = {4},
	Year = {2014},
	Bdsk-Url-1 = {http://dx.doi.org/10.1007/s13278-014-0161-0}}

@article{Manshaei2013,
	Acmid = {2480742},
	Address = {New York, NY, USA},
	Articleno = {25},
	Author = {Manshaei, Mohammad Hossein and Zhu, Quanyan and Alpcan, Tansu and Bac\c{s}ar, Tamer and Hubaux, Jean-Pierre},
	Doi = {10.1145/2480741.2480742},
	Issn = {0360-0300},
	Issue_Date = {June 2013},
	Journal = {ACM Comput. Surv.},
	Keywords = {Game theory, cryptography, intrusion detection system, location privacy, multiparty computation, network security and privacy, revocation, wireless security},
	Month = jul,
	Number = {3},
	Numpages = {39},
	Pages = {25:1--25:39},
	Publisher = {ACM},
	Title = {Game Theory Meets Network Security and Privacy},
	Url = {http://doi.acm.org/10.1145/2480741.2480742},
	Volume = {45},
	Year = {2013},
	Bdsk-Url-1 = {http://doi.acm.org/10.1145/2480741.2480742},
	Bdsk-Url-2 = {http://dx.doi.org/10.1145/2480741.2480742}}

@article{Ohtsuki2006,
	Abstract = {{A fundamental aspect of all biological systems is cooperation. Cooperative interactions are required for many levels of biological organization ranging from single cells to groups of animals1, 2, 3, 4. Human society is based to a large extent on mechanisms that promote cooperation5, 6, 7. It is well known that in unstructured populations, natural selection favours defectors over cooperators. There is much current interest, however, in studying evolutionary games in structured populations and on graphs8, 9, 10, 11, 12, 13, 14, 15, 16, 17. These efforts recognize the fact that who-meets-whom is not random, but determined by spatial relationships or social networks18, 19, 20, 21, 22, 23, 24. Here we describe a surprisingly simple rule that is a good approximation for all graphs that we have analysed, including cycles, spatial lattices, random regular graphs, random graphs and scale-free networks25, 26: natural selection favours cooperation, if the benefit of the altruistic act, b, divided by the cost, c, exceeds the average number of neighbours, k, which means b/c > k. In this case, cooperation can evolve as a consequence of 'social viscosity' even in the absence of reputation effects or strategic complexity.}},
	Author = {Ohtsuki, Hisashi and Hauert, Christoph and Lieberman, Erez and Nowak, Martin A.},
	Citeulike-Article-Id = {668899},
	Citeulike-Linkout-0 = {http://www.biomedexperts.com/Abstract.bme/16724065},
	Citeulike-Linkout-1 = {http://dx.doi.org/10.1038/nature04605},
	Citeulike-Linkout-2 = {http://dx.doi.org/10.1038/nature04605},
	Citeulike-Linkout-3 = {http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2430087/},
	Citeulike-Linkout-4 = {http://view.ncbi.nlm.nih.gov/pubmed/16724065},
	Citeulike-Linkout-5 = {http://www.hubmed.org/display.cgi?uids=16724065},
	Comment = {A fundamental aspect of all biological systems is cooperation. Cooperative interactions are required for many levels of biological organization ranging from single cells to groups of animals1, 2, 3, 4. Human society is based to a large extent on mechanisms that promote cooperation5, 6, 7. It is well known that in unstructured populations, natural selection favours defectors over cooperators. There is much current interest, however, in studying evolutionary games in structured populations and on graphs8, 9, 10, 11, 12, 13, 14, 15, 16, 17. These efforts recognize the fact that who-meets-whom is not random, but determined by spatial relationships or social networks18, 19, 20, 21, 22, 23, 24. Here we describe a surprisingly simple rule that is a good approximation for all graphs that we have analysed, including cycles, spatial lattices, random regular graphs, random graphs and scale-free networks25, 26: natural selection favours cooperation, if the benefit of the altruistic act, b, divided by the cost, c, exceeds the average number of neighbours, k, which means b/c > k. In this case, cooperation can evolve as a consequence of 'social viscosity' even in the absence of reputation effects or strategic complexity.},
	Day = {25},
	Doi = {10.1038/nature04605},
	Issn = {0028-0836},
	Journal = {Nature},
	Keywords = {cooperation, culture, society, tragedycommons},
	Month = may,
	Number = {7092},
	Pages = {502--505},
	Pmcid = {PMC2430087},
	Pmid = {16724065},
	Posted-At = {2006-05-24 22:06:52},
	Priority = {2},
	Publisher = {Nature Publishing Group},
	Title = {{A simple rule for the evolution of cooperation on graphs and social networks}},
	Url = {http://dx.doi.org/10.1038/nature04605},
	Volume = {441},
	Year = {2006},
	Bdsk-Url-1 = {http://dx.doi.org/10.1038/nature04605}}

@article{Rand2011,
	Abstract = {Human populations are both highly cooperative and highly organized. Human interactions are not random but rather are structured in social networks. Importantly, ties in these networks often are dynamic, changing in response to the behavior of one's social partners. This dynamic structure permits an important form of conditional action that has been explored theoretically but has received little empirical attention: People can respond to the cooperation and defection of those around them by making or breaking network links. Here, we present experimental evidence of the power of using strategic link formation and dissolution, and the network modification it entails, to stabilize cooperation in sizable groups. Our experiments explore large-scale cooperation, where subjects' cooperative actions are equally beneficial to all those with whom they interact. Consistent with previous research, we find that cooperation decays over time when social networks are shuffled randomly every round or are fixed across all rounds. We also find that, when networks are dynamic but are updated only infrequently, cooperation again fails. However, when subjects can update their network connections frequently, we see a qualitatively different outcome: Cooperation is maintained at a high level through network rewiring. Subjects preferentially break links with defectors and form new links with cooperators, creating an incentive to cooperate and leading to substantial changes in network structure. Our experiments confirm the predictions of a set of evolutionary game theoretic models and demonstrate the important role that dynamic social networks can play in supporting large-scale human cooperation.},
	Author = {Rand, David G. and Arbesman, Samuel and Christakis, Nicholas A.},
	Doi = {10.1073/pnas.1108243108},
	Eprint = {http://www.pnas.org/content/108/48/19193.full.pdf},
	Journal = {Proc. of the National Academy of Sciences},
	Number = {48},
	Pages = {19193-19198},
	Title = {Dynamic social networks promote cooperation in experiments with humans},
	Url = {http://www.pnas.org/content/108/48/19193.abstract},
	Volume = {108},
	Year = {2011},
	Bdsk-Url-1 = {http://www.pnas.org/content/108/48/19193.abstract},
	Bdsk-Url-2 = {http://dx.doi.org/10.1073/pnas.1108243108}}

@article{Fu2007,
	Author = {Fu, F. and Chen, C. and Liu, L. and Wag, L.},
	Journal = {Physics Letters A},
	Number = {1-2},
	Pages = {58-64},
	Title = {Social dilemmas in an online social network: The structure and evolution of cooperation},
	Volume = {371},
	Year = {2007}}

@inproceedings{Immorlica2010,
	Author = {Nicole Immorlica and Brendan Lucier and Brian Rogers},
	Booktitle = {In Proc. of the 11th ACM Conference on Electronic Commerce (EC},
	Title = {Emergence of cooperation in anonymous social networks through social capital},
	Year = {2010}}

@article{Rajtmajer2014,
	Author = {Sarah Michele Rajtmajer and Christopher Griffin and Derek Mikesell and Anna Squicciarini},
	Bibsource = {dblp computer science bibliography, http://dblp.org},
	Biburl = {http://dblp.uni-trier.de/rec/bib/journals/corr/RajtmajerGMS14},
	Journal = {CoRR},
	Timestamp = {Fri, 12 Sep 2014 12:44:21 +0200},
	Title = {A cooperate-defect model for the spread of deviant behavior in social networks},
	Url = {http://arxiv.org/abs/1408.2770},
	Volume = {abs/1408.2770},
	Year = {2014},
	Bdsk-Url-1 = {http://arxiv.org/abs/1408.2770}}

@article{Wu2015,
	Author = {Wu, Zhi-Xi and Rong, Zhihai and Yang, Han-Xin},
	Doi = {10.1103/PhysRevE.91.012802},
	Issue = {1},
	Journal = {Phys. Rev. E},
	Month = {Jan},
	Numpages = {7},
	Pages = {012802},
	Publisher = {American Physical Society},
	Title = {Impact of heterogeneous activity and community structure on the evolutionary success of cooperators in social networks},
	Url = {http://link.aps.org/doi/10.1103/PhysRevE.91.012802},
	Volume = {91},
	Year = {2015},
	Bdsk-Url-1 = {http://link.aps.org/doi/10.1103/PhysRevE.91.012802},
	Bdsk-Url-2 = {http://dx.doi.org/10.1103/PhysRevE.91.012802}}

@article{Hansen1992,
	Author = {Pierre Hansen and Brigitte Jaumard and Gilles Savard},
	Doi = {10.1137/0913069},
	Eprint = {http://dx.doi.org/10.1137/0913069},
	Journal = {SIAM Journal on Scientific and Statistical Computing},
	Number = {5},
	Pages = {1194-1217},
	Title = {New Branch-and-Bound Rules for Linear Bilevel Programming},
	Url = {http://dx.doi.org/10.1137/0913069},
	Volume = {13},
	Year = {1992},
	Bdsk-Url-1 = {http://dx.doi.org/10.1137/0913069}}

@article{Vincente1994,
	Author = {Vicente, L. and Savard, G. and J{\'u}dice, J.},
	Doi = {10.1007/BF02191670},
	Issn = {0022-3239},
	Journal = {J. Optimization Theory and Applications},
	Keywords = {Bilevel programming; nonconvex and nondifferentiable optimization; quadratic programming; computational complexity},
	Language = {English},
	Number = {2},
	Pages = {379-399},
	Publisher = {Kluwer Academic Publishers-Plenum Publishers},
	Title = {Descent approaches for quadratic bilevel programming},
	Url = {http://dx.doi.org/10.1007/BF02191670},
	Volume = {81},
	Year = {1994},
	Bdsk-Url-1 = {http://dx.doi.org/10.1007/BF02191670}}

@article{Zachary1977,
	Abstract = {{Data from a voluntary association are used to construct a new formal model for a traditional anthropological problem, fission in small groups. The process leading to fission is viewed as an unequal flow of sentiments and information across the ties in a social network. This flow is unequal because it is uniquely constrained by the contextual range and sensitivity of each relationship in the network. The subsequent differential sharing of sentiments leads to the formation of subgroups with more internal stability than the group as a whole, and results in fission. The Ford-Fulkerson labeling algorithm allows an accurate prediction of membership in the subgroups and of the locus of the fission to be made from measurements of the potential for information flow across each edge in the network. Methods for measurement of potential information flow are discussed, and it is shown that all appropriate techniques will generate the same predictions.}},
	Author = {Zachary, Wayne W.},
	Citeulike-Article-Id = {9266448},
	Citeulike-Linkout-0 = {http://dx.doi.org/10.2307/3629752},
	Citeulike-Linkout-1 = {http://www.jstor.org/stable/3629752},
	Doi = {10.2307/3629752},
	Issn = {00917710},
	Journal = {Journal of Anthropological Research},
	Keywords = {karate, karate-club-data, karateclub, sna\_classic\_papers, weakties, zachary},
	Number = {4},
	Pages = {452--473},
	Posted-At = {2013-03-27 09:45:16},
	Priority = {2},
	Publisher = {University of New Mexico},
	Title = {{An Information Flow Model for Conflict and Fission in Small Groups}},
	Url = {http://dx.doi.org/10.2307/3629752},
	Volume = {33},
	Year = {1977},
	Bdsk-Url-1 = {http://dx.doi.org/10.2307/3629752}}

@book{BHS06,
	Author = {M. S. Bazaraa and H. D. Sherali and C. M. Shetty},
	Date-Added = {2013-12-16 11:48:03 +0000},
	Date-Modified = {2013-12-16 11:48:03 +0000},
	Publisher = {John Wiley and Sons},
	Title = {Nonlinear Programming: Theory and Algorithms},
	Year = {2006}}

@inproceedings{khor,
	Author = {Yin, Zhengyu and Korzhyk, Dmytro and Kiekintveld, Christopher and Conitzer, Vincent and Tambe, Milind},
	Booktitle = {Proc. of the 9th International Conference on Autonomous Agents and Multiagent Systems: volume 1-Volume 1},
	Organization = {International Foundation for Autonomous Agents and Multiagent Systems},
	Pages = {1139--1146},
	Title = {Stackelberg vs. {N}ash in security games: Interchangeability, equivalence, and uniqueness},
	Year = {2010}}

@article{sabe,
	Author = {Sabelfeld, Andrei and Myers, Andrew C},
	Journal = {IEEE Journal on Selected Areas in Communications},
	Number = {1},
	Pages = {5--19},
	Publisher = {IEEE},
	Title = {Language-based information-flow security},
	Volume = {21},
	Year = {2003}}

@article{feather,
	Author = {McPherson, Miller and Smith-Lovin, Lynn and Cook, James M},
	Journal = {Annual review of sociology},
	Pages = {415--444},
	Publisher = {JSTOR},
	Title = {Birds of a feather: Homophily in social networks},
	Year = {2001}}

@inproceedings{gomez2010,
	Author = {G{\'o}mez-Hidalgo, Jos{\'e} Mar{\i}a and Martin-Abreu, Jose Miguel and Nieves, Javier and Santos, Igor and Brezo, Felix and Bringas, Pablo Garcia},
	Booktitle = {Proc. of IEEE Second International Conference on Social Computing (SocialCom)},
	Organization = {IEEE},
	Pages = {1129--1134},
	Title = {Data leak prevention through named entity recognition},
	Year = {2010}}

@misc{kona,
	Author = {{Deltek}},
	Note = {{https://www.kona.com/welcome/}},
	Title = {Kona.com: Social Collaboration for Projects and Teams},
	Year = {2014}}

@inproceedings{crandall2008,
	Author = {Crandall, David and Cosley, Dan and Huttenlocher, Daniel and Kleinberg, Jon and Suri, Siddharth},
	Booktitle = {Proc. of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining},
	Organization = {ACM},
	Pages = {160--168},
	Title = {Feedback effects between similarity and social influence in online communities},
	Year = {2008}}

@article{gonzalez2014,
	Author = {Gonz{\'a}lez-Manzano, Lorena and Gonz{\'a}lez-Tablas, Ana I and de Fuentes, Jos{\'e} M and Ribagorda, Arturo},
	Journal = {Computers \& Security},
	Publisher = {Elsevier},
	Title = {CooPeD: Co-owned Personal Data Management},
	Year = {2014}}

@misc{xacm,
	Author = {{OASIS}},
	Note = {https://www.oasis-open.org/committees/tc\_home.php?wg\_abbrev=xacml},
	Title = {{eXtensible Access Control Markup Language (XACML) V.3}}}

@inproceedings{carminati2011,
	Author = {Carminati, Barbara and Ferrari, Elena},
	Booktitle = {Proc. of 7th International Conference on Collaborative Computing: Networking, Applications and Worksharing (CollaborateCom)},
	Organization = {IEEE},
	Pages = {231--240},
	Title = {Collaborative access control in on-line social networks},
	Year = {2011}}

@inproceedings{xiao2012,
	Author = {Xiao, Qian and Tan, K-L},
	Booktitle = {Proc. of International Conference on Collaborative Computing: Networking, Applications and Worksharing (CollaborateCom)},
	Title = {Peer-aware collaborative access control in social networks},
	Year = {2012}}

@inproceedings{Lee2011,
	Author = {Schlegel, Roman and Kapadia, Apu and Lee, Adam J},
	Booktitle = {Proc. of the Seventh Symposium on Usable Privacy and Security},
	Organization = {ACM},
	Pages = {14},
	Title = {Eyeing your exposure: quantifying and controlling information sharing for improved privacy},
	Year = {2011}}

@inproceedings{jin2006,
	Author = {Jin, Jing and Ahn, Gail-Joon},
	Booktitle = {Proc. of the eleventh ACM symposium on Access control models and technologies},
	Organization = {ACM},
	Pages = {200--209},
	Title = {Role-based access management for ad-hoc collaborative sharing},
	Year = {2006}}

@inproceedings{sandhu2011,
	Author = {Sandhu, Ravi and Bijon, Khalid Zaman and Jin, Xin and Krishnan, Ram},
	Booktitle = {Proc. of 7th International Conference on Collaborative Computing: Networking, Applications and Worksharing (CollaborateCom)},
	Organization = {IEEE},
	Pages = {473--478},
	Title = {RT-based administrative models for community cyber security information sharing},
	Year = {2011}}

@inproceedings{thomas1997,
	Author = {Thomas, Roshan K},
	Booktitle = {Proc. of the second ACM workshop on Role-based access control},
	Organization = {ACM},
	Pages = {13--19},
	Title = {Team-based access control (TMAC): a primitive for applying role-based access controls in collaborative environments},
	Year = {1997}}

@inproceedings{SundaS11,
	Author = {Smitha Sundareswaran and Anna Cinzia Squicciarini},
	Booktitle = {CollaborateCom},
	Ee = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6144835},
	Pages = {466-472},
	Title = {Privacy through web-traveler policies in social network environments},
	Year = {2011}}

@article{john2011,
	Author = {John, Leslie K and Acquisti, Alessandro and Loewenstein, George},
	Journal = {Journal of Consumer Research},
	Number = {5},
	Pages = {858--873},
	Publisher = {JSTOR},
	Title = {Strangers on a plane: context-dependent willingness to divulge sensitive information},
	Volume = {37},
	Year = {2011}}

@misc{biorisk,
	Author = {{BBC News Health}},
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@article{choi2015,
author = {Choi, Yoon Hyung and Bazarova, Natalya N.},
title = {Self-Disclosure Characteristics and Motivations in Social Media: Extending the Functional Model to Multiple Social Network Sites},
journal = {Human Communication Research},
volume = {41},
number = {4},
pages = {480-500},
keywords = {Social Network Sites, Self-Disclosure, Functional Model of Self-Disclosure, Communication Privacy Management Theory, Computer-Mediated Communication, Facebook, Twitter},
year = {2015}
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author={D. J. {Houghton} and A. N. {Joinson}},
booktitle={2012 45th Hawaii International Conference on System Sciences},
title={Linguistic Markers of Secrets and Sensitive Self-Disclosure in Twitter},
year={2012},
volume={},
number={},
pages={3480-3489},
keywords={linguistics;social networking (online);software tools;linguistic markers;sensitive self-disclosure;Twitter;software tools;CMC environment;computer mediated communication;Pragmatics;Twitter;Sensitivity;Context;Media;Privacy;Humans;Self-Disclosure;Twitter;Linguistic Markers;Social Network Sites},
doi={10.1109/HICSS.2012.415},
ISSN={1530-1605},
month={Jan},}

@inproceedings{Umar:2019,
 author = {Umar, Prasanna and Squicciarini, Anna and Rajtmajer, Sarah},
 title = {Detection and Analysis of Self-Disclosure in Online News Commentaries},
 booktitle = {Proc. of WWW},
 year = {2019},
 isbn = {978-1-4503-6674-8},
 location = {San Francisco, CA, USA},
 pages = {3272--3278},
 numpages = {7},
 publisher = {ACM},
 address = {New York, NY, USA},
 keywords = {Online self-disclosure, anonymity, privacy, public platforms},
}

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@book{118,
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@inproceedings{graham1972,
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@article{lampson1974,
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@misc{openid,
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	Isbn = {1-59593-232-1},
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	Publisher = {ACM},
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	Year = {2005},
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	Booktitle = {12th European Symposium on Research in Computer Security (ESORICS)},
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	Year = 2007}

@article{reps,
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	Year = {2007}}

@article{paradox,
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	Doi = {http://doi.acm.org/10.1145/1755688.1755735},
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@misc{152,
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	Note = {www.gamesec-conf.org},
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	Bibsource = {DBLP, http://dblp.uni-trier.de},
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@article{GNEP2,
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	Journal = {4OR},
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@article{GNEP1,
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@inproceedings{audit3,
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	Booktitle = {SACMAT '07: Proc. of the 12th ACM symposium on Access control models and technologies},
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	Year = {2007}}

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	Volume = {12},
	Year = {2007}}

@phdthesis{golb,
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	Author = {J. Golbeck},
	Booktitle = {University of Maryland at College Park},
	Isbn = {0-542-18324-2},
	Note = {Chair-Hendler, James},
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	Year = {2005}}

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	Year = {2008}}

@book{solove2011,
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	Year = {2008}}

@incollection{wang2009,
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@inproceedings{Faresi:2011,
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	Doi = {10.1145/2077489.2077493},
	Isbn = {978-1-4503-1047-5},
	Keywords = {health information systems, item response theory (IRT), privacy, risk score},
	Location = {San Francisco, California},
	Numpages = {8},
	Pages = {17--24},
	Publisher = {ACM},
	Series = {MEDES '11},
	Title = {Preemptive Mechanism to Prevent Health Data Privacy Leakage},
	Url = {http://doi.acm.org/10.1145/2077489.2077493},
	Year = {2011},
	Bdsk-Url-1 = {http://doi.acm.org/10.1145/2077489.2077493},
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	Acmid = {1870102},
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	Issn = {1556-4681},
	Issue_Date = {December 2010},
	Journal = {ACM Trans. Knowl. Discov. Data},
	Keywords = {Social networks, expectation maximization, information propagation, item-response theory, maximum-likelihood estimation},
	Month = dec,
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	Publisher = {ACM},
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	Url = {http://doi.acm.org/10.1145/1870096.1870102},
	Volume = {5},
	Year = {2010},
	Bdsk-Url-1 = {http://doi.acm.org/10.1145/1870096.1870102},
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	Isbn = {978-1-60558-102-6},
	Location = {Vancouver, Canada},
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	Publisher = {ACM},
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	Year = {2008}}

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	Year = {2010}}

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	Year = {2007}}

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	Bibsource = {DBLP, http://dblp.uni-trier.de},
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	Year = {2010}}

@misc{IBM,
	Author = {{IBM}},
	Note = {http://www-01.ibm.com/software/lotus/products/connections/},
	Title = {{IBM} Social Software for Business}}

@article{ieeecom,
	Author = {A. Squicciarini and Marco Casassa-Mont},
	Journal = {IEEE Computer Magazine. Forthcoming},
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	Year = {2010}}

@inproceedings{recop,
	Address = {Washington, DC, USA},
	Author = {Hsieh, Chia-Lung Albert and Zhan, Justin and Zeng, Deniel and Wang, Feiyue},
	Booktitle = {ISA '08: Proc. of the 2008 International Conference on Information Security and Assurance (isa 2008)},
	Doi = {http://dx.doi.org/10.1109/ISA.2008.101},
	Isbn = {978-0-7695-3126-7},
	Pages = {561--566},
	Publisher = {IEEE Computer Society},
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	Year = {2008},
	Bdsk-Url-1 = {http://dx.doi.org/10.1109/ISA.2008.101}}

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	Bibsource = {DBLP, http://dblp.uni-trier.de},
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	Year = {2010}}

@inproceedings{Barker:2007,
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	Address = {New York, NY, USA},
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	Doi = {10.1145/1266840.1266873},
	Isbn = {978-1-59593-745-2},
	Keywords = {ASAC, access control, policies},
	Location = {Sophia Antipolis, France},
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	Pages = {195--204},
	Publisher = {ACM},
	Series = {SACMAT '07},
	Title = {Action-status Access Control},
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	Year = {2007},
	Bdsk-Url-1 = {http://doi.acm.org/10.1145/1266840.1266873},
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	Year = {2001}}

@misc{twit,
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	Title = {Twitter Gets FTC's Attention on Privacy Concerns},
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	Year = {2010}}

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	Publisher = {Academic Press, Inc.},
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	Volume = {65},
	Year = {2007}}

@misc{JARGood,
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	Year = {2006}}

@misc{face,
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	Month = {May},
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	Year = {2010}}

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	Address = {New York, NY, USA},
	Author = {Graham, Robert and Eoff, Brian and Caverlee, James},
	Booktitle = {WWW '08: Proceeding of the 17th {W}orld {W}ide {W}eb Conference},
	Doi = {http://doi.acm.org/10.1145/1367497.1367708},
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	Location = {Beijing, China},
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	Year = {2005}}

@misc{inc,
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	Posted-At = {2008-07-14 11:03:57},
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@misc{ref,
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@misc{home,
	Author = {Manya Sleeper and Michelle L. Mazurek and Lujo Bauer},
	Howpublished = {In Designing with Users for Domestic Environments workshop at CSCW14 (the 17th ACM Conference on Computer Supported Cooperative Work and Social Computing)},
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	Booktitle = {{CHI} 2010: Conference on Human Factors in Computing Systems},
	Copyright = {ACM},
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	Year = 2010,
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	Year = {2008}}

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@misc{NSFW,
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@inproceedings{drm2,
	Address = {New York, NY, USA},
	Author = {Popescu, Bogdan C. and Crispo, Bruno and Tanenbaum, Andrew S.},
	Booktitle = {NSPW '04: Proc. of the 2004 workshop on new security paradigms},
	Isbn = {1-59593-076-0},
	Location = {Nova Scotia, Canada},
	Pages = {3--9},
	Publisher = {ACM},
	Title = {Support for multi-level security policies in {DRM} architectures},
	Year = {2004}}

@inproceedings{acquisti2,
	Author = {Acquisti, A.},
	Booktitle = {Proc. of the 5th {ACM} Electronic Commerce Conference},
	Editor = {ACM Press},
	Pages = {21-29},
	Title = {Privacy in {E}lectronic {C}ommerce and the Economics of Immediate Gratification},
	Where = {New York, NY},
	Year = {2004}}

@misc{JAR,
	Author = {Sun},
	Note = {{http://java.sun.com/docs/books/tutorial/deployment/jar/}},
	Title = {Lesson: Packaging Programs in {JAR} Files}}

@inproceedings{35,
	Address = {New York, NY, USA},
	Author = {Li, X. and Guo, L. and Zhao, Yihong E.},
	Booktitle = {WWW '08: Proceeding of the 17th international conference on World Wide Web},
	Isbn = {978-1-60558-085-2},
	Location = {Beijing, China},
	Pages = {675--684},
	Publisher = {ACM},
	Title = {Tag-based social interest discovery},
	Year = {2008}}

@inproceedings{ptag,
	Address = {New York, NY, USA},
	Author = {Razavi, Maryam Najafian and Iverson, Lee},
	Booktitle = {GROUP '09: Proc. of the ACM 2009 international conference on Supporting group work},
	Isbn = {978-1-60558-500-0},
	Location = {Sanibel Island, Florida, USA},
	Pages = {11--20},
	Publisher = {ACM},
	Title = {Improving personal privacy in social systems with people-tagging},
	Year = {2009}}

@inproceedings{34,
	Address = {New York, NY, USA},
	Author = {Wang, Qihua and Jin, Hongxia},
	Booktitle = {CHI '09: Proc. of the 27th international conference extended abstracts on Human factors in computing systems},
	Isbn = {978-1-60558-247-4},
	Location = {Boston, MA, USA},
	Pages = {4549--4554},
	Publisher = {ACM},
	Title = {Selective message distribution with people-tagging in user-collaborative environments},
	Year = {2009}}

@inproceedings{8,
	Author = {E. Gabrilovich and S. Markovitch},
	Booktitle = {In Proc. of the 20th International Joint Conference on Artificial Intelligence},
	Pages = {1606--1611},
	Title = {Computing semantic relatedness using Wikipedia-based explicit semantic analysis},
	Year = {2007}}

@inproceedings{28,
	Author = {Stephen Farrell and Tessa A. Lau and Stefan Nusser},
	Booktitle = {INTERACT (2)},
	Pages = {357-360},
	Title = {Building Communities with People-Tags},
	Year = {2007}}

@inproceedings{burnrip,
	Address = {Berkeley, CA, USA},
	Author = {Halderman, J. Alex and Felten, Edward W.},
	Booktitle = {USENIX-SS'06: Proc. of the 15th conference on USENIX Security Symposium},
	Location = {Vancouver, B.C., Canada},
	Title = {Lessons from the {Sony} {CD} {DRM} episode},
	Year = {2006}}

@inproceedings{abhi2010,
	Author = {A. Bhargav-Spantzel and A. C. Squicciarini and Elisa Bertino and Xiangwei Kong and Weike Zhang},
	Booktitle = {IDtrust},
	Pages = {84-96},
	Title = {Biometrics-based identifiers for digital identity management},
	Year = {2010}}

@misc{PKI,
	Author = {PKI},
	Note = {http://datatracker.ietf.org/wg/pkix/charter/},
	Title = {Public-Key Infrastructure (X.509)}}

@misc{sun,
	Key = {sun},
	Note = {{http://forums.sun.com/thread.jspa?threadID=5272382}},
	Title = {New {To} Java - Disable Keyboard input}}

@inproceedings{gail,
	Author = {G.-J. Ahn and M. Ko and M. Shehab},
	Booktitle = {IEEE International Conference on Communications},
	Pages = {1-5},
	Title = {Privacy-Enhanced User-Centric Identity Management},
	Year = {2009}}

@inproceedings{idarch,
	Author = {Glasser, U. and Vajihollahi, M.},
	Booktitle = {Intelligence and Security Informatics, 2008. ISI 2008. IEEE International Conference on},
	Month = {17-20},
	Pages = {137 -144},
	Title = {Identity management architecture},
	Year = {2008}}

@book{dim,
	Author = {P. Wiley},
	Publisher = {O'Reilly Media, Inc},
	Title = {Digital Identity},
	Year = {2005}}

@misc{xx,
	Author = {K. Aberer and Z. Despotovic},
	Title = {On Reputation in Game Theory Application on Online Settings},
	Year = {2004}}

@article{eng,
	Author = {Sarah Spiekermann and Lorrie Faith Cranor},
	Journal = {IEEE Trans. Software Eng.},
	Number = {1},
	Pages = {67-82},
	Title = {Engineering Privacy},
	Volume = {35},
	Year = {2009}}

@article{hoadley,
	Author = {C. Hoadley and H. Xu and J. Lee and M. Rosson},
	Bibsource = {DBLP, http://dblp.uni-trier.de},
	Ee = {http://dx.doi.org/10.1016/j.elerap.2009.05.001},
	Journal = {Electronic Commerce Research and Applications},
	Number = {1},
	Pages = {50-60},
	Title = {Privacy as information access and illusory control: The case of the {F}acebook {N}ews Feed privacy outcry},
	Volume = {9},
	Year = {2010}}

@inproceedings{motiv,
	Author = {Tamara Dinev and Heng Xu and H. Jeff Smith},
	Booktitle = {HICSS},
	Pages = {1-10},
	Title = {Information Privacy Values, Beliefs and Attitudes: An Empirical Analysis of Web 2.0 Privacy},
	Year = {2009}}

@misc{else,
	Author = {Oracle},
	Note = {{http://www.oracle.com/technology/products/jdev/howtos/\\1013/swingkeyboardshortcuts.pdf}},
	Title = {Handling Keyboard Events - An {O}racle White Paper},
	Year = {2005}}

@article{acquisti,
	Author = {Acquisti, A. and Grossklags, J.},
	Journal = {{IEEE} Security and Privacy (January/February)},
	Pages = {26-33},
	Title = {Privacy and Rationality in Decision Making},
	Year = 2005}

@misc{drm,
	Author = {R. Stallman},
	Month = {February},
	Note = {http://www.gnu.org/philosophy/right-to-read.html},
	Title = {The Right to Read},
	Year = {1997}}
	
@misc{CPLEX,
	Author = {IBM},
	Month = {October},
	Note = {https://www.ibm.com/analytics/decision-optimization},
	Title = {Decision optimization},
	Year = {2021}}

@inproceedings{sticky,
	Author = {Cassasa-Mont, Marco and Pearson, Se and Bramhall, Pietro},
	Booktitle = {Proc. of the European Symposium on Research in Computer Security (ESORICS)},
	Pages = {146-161},
	Publisher = {Springer-Verlag},
	Series = {LNCS},
	Title = {Towards Accountable Management of Privacy and Identity Information},
	Year = {2003}}

@inproceedings{drm1,
	Author = {B. Popescu and B. Crispo and A. Tanenbaum},
	Booktitle = {Proc. of the workshop on new security paradigms},
	Pages = {3-9},
	Title = {Support for multi-level security policies in {DRM} architectures},
	Year = {2004}}

@inproceedings{policy1,
	Author = {Tschantz, Michael Carl and Krishnamurthi, Shriram},
	Booktitle = {Proc. of the eleventh ACM symposium on Access control models and technologies},
	Organization = {ACM},
	Pages = {160--169},
	Title = {Towards reasonability properties for access-control policy languages},
	Year = {2006}}

@article{Gill1991469,
	Abstract = {The basic convergence behavior of the sequence {Fn} where F1=f1 and Fn(z)=fn(Fn−1(z)) is described when each fn is analytic in a region S, S⊃fn(S), and the fixed points of {fn} converge. The sequence {Fn} is then used as a process to efficiently compute the attractive fixed points of functions defined by certain continued fractions, infinite products, and series. },
	Author = {John Gill},
	Date-Modified = {2015-11-17 19:30:59 +0000},
	Issn = {0168-9274},
	Journal = {Applied Numerical Mathematics},
	Keywords = {contractions},
	Number = {6},
	Pages = {469 - 476},
	Title = {The use of the sequence $F_n(z)=f_n\circ \cdots \circ f_1(z)$ in computing fixed points of continued fractions, products, and series},
	Volume = {8},
	Year = {1991},
	Bdsk-Url-1 = {http://www.sciencedirect.com/science/article/pii/016892749190109D},
	Bdsk-Url-2 = {http://dx.doi.org/10.1016/0168-9274(91)90109-D}}

@inproceedings{sac2015,
	Acmid = {2695867},
	Address = {New York, NY, USA},
	Author = {Rajtmajer, Sarah and Griffin, Christopher and Mikesell, Derek and Squicciarini, Anna},
	Booktitle = {Proc. of the 30th Annual ACM Symposium on Applied Computing},
	Doi = {10.1145/2695664.2695867},
	Isbn = {978-1-4503-3196-8},
	Keywords = {evolutionary game theory, non-cooperative behavior, social networks},
	Location = {Salamanca, Spain},
	Numpages = {6},
	Pages = {1154--1159},
	Publisher = {ACM},
	Series = {SAC '15},
	Title = {An Evolutionary Game Model for the Spread of Non-cooperative Behavior in Online Social Networks},
	Url = {http://doi.acm.org/10.1145/2695664.2695867},
	Year = {2015},
	Bdsk-Url-1 = {http://doi.acm.org/10.1145/2695664.2695867},
	Bdsk-Url-2 = {http://dx.doi.org/10.1145/2695664.2695867}}

@inproceedings{hu2014,
	Acmid = {2613097},
	Address = {New York, NY, USA},
	Author = {Hu, Hongxin and Ahn, Gail-Joon and Zhao, Ziming and Yang, Dejun},
	Booktitle = {Proc. of the 19th ACM Symposium on Access Control Models and Technologies},
	Doi = {10.1145/2613087.2613097},
	Isbn = {978-1-4503-2939-2},
	Keywords = {game theory, multiparty access control, social networks},
	Location = {London, Ontario, Canada},
	Numpages = {10},
	Pages = {93--102},
	Publisher = {ACM},
	Series = {SACMAT '14},
	Title = {Game Theoretic Analysis of Multiparty Access Control in Online Social Networks},
	Url = {http://doi.acm.org/10.1145/2613087.2613097},
	Year = {2014},
	Bdsk-Url-1 = {http://doi.acm.org/10.1145/2613087.2613097},
	Bdsk-Url-2 = {http://dx.doi.org/10.1145/2613087.2613097}}

@article{kahneman2003,
	Author = {Kahneman, Daniel},
	Date-Modified = {2015-11-17 19:30:06 +0000},
	Doi = {10.1257/000282803322655392},
	Journal = {American Economic Review},
	Number = {5},
	Pages = {1449-1475},
	Title = {Maps of Bounded Rationality: Psychology for Behavioral Economics},
	Volume = {93},
	Year = {2003},
	Bdsk-Url-1 = {http://www.aeaweb.org/articles.php?doi=10.1257/000282803322655392},
	Bdsk-Url-2 = {http://dx.doi.org/10.1257/000282803322655392}}

@incollection{simon57,
	Author = {{H.A}. Simon},
	Booktitle = {Models of man: social and rational; mathematical essays on rational human behavior in a social setting},
	Editor = {{H.A}. Simon},
	Pages = {241--260},
	Publisher = {J. Wiley, New York},
	Title = {A behavioural model of Rational Choice},
	Year = {1957}}

@article{McKelvey19956,
	Abstract = {We investigate the use of standard statistical models for quantal choice in a game theoretic setting. Players choose strategies based on relative expected utility and assume other players do so as well. We define a quantal response equilibrium (ORE) as a fixed point of this process and establish existence. For a logit specification of the error structure, we show that as the error goes to zero, \{QRE\} approaches a subset of Nash equilibria and also implies a unique selection from the set of Nash equilibria in generic games. We fit the model to a variety of experimental data sets by using maximum likelihood estimation. Journal of Economic Literature Classification Numbers: C19, C44, C72, C92. },
	Author = {Richard D. McKelvey and Thomas R. Palfrey},
	Date-Modified = {2015-11-17 19:30:18 +0000},
	Doi = {http://dx.doi.org/10.1006/game.1995.1023},
	Issn = {0899-8256},
	Journal = {Games and Economic Behavior},
	Number = {1},
	Pages = {6 - 38},
	Title = {Quantal Response Equilibria for Normal Form Games},
	Volume = {10},
	Year = {1995},
	Bdsk-Url-1 = {http://www.sciencedirect.com/science/article/pii/S0899825685710238},
	Bdsk-Url-2 = {http://dx.doi.org/10.1006/game.1995.1023}}

@article{Yang2013440,
	Abstract = {Stackelberg games have garnered significant attention in recent years given their deployment for real world security. Most of these systems, such as ARMOR, \{IRIS\} and \{GUARDS\} have adopted the standard game-theoretical assumption that adversaries are perfectly rational, which is standard in the game theory literature. This assumption may not hold in real-world security problems due to the bounded rationality of human adversaries, which could potentially reduce the effectiveness of these systems. In this paper, we focus on relaxing the unrealistic assumption of perfectly rational adversary in Stackelberg security games. In particular, we present new mathematical models of human adversariesʼ behavior, based on using two fundamental theory/method in human decision making: Prospect Theory (PT) and stochastic discrete choice model. We also provide methods for tuning the parameters of these new models. Additionally, we propose a modification of the standard quantal response based model inspired by rank-dependent expected utility theory. We then develop efficient algorithms to compute the best response of the security forces when playing against the different models of adversaries. In order to evaluate the effectiveness of the new models, we conduct comprehensive experiments with human subjects using a web-based game, comparing them with models previously proposed in the literature to address the perfect rationality assumption on part of the adversary. Our experimental results show that the subjectsʼ responses follow the assumptions of our new models more closely than the previous perfect rationality assumption. We also show that the defender strategy produced by our new stochastic discrete choice model outperform the previous leading contender for relaxing the assumption of perfect rationality. Furthermore, in a separate set of experiments, we show the benefits of our modified stochastic model (QRRU) over the standard model (QR).11This paper significantly extends our previous conference paper (Yang et al., 2011) [1] by providing (i) new methods for setting parameters of the Prospect Theory model; (ii) an additional variant of Quantal Response model and a new algorithm to compute defender strategies against the new model; (iii) a more comprehensive set of experiments which includes multiple new algorithms and updated settings for the algorithms; (iv) new analysis of the robustness of different defender strategies and the predictive accuracy of different models; (v) additional discussion of related work. },
	Author = {Rong Yang and Christopher Kiekintveld and Fernando Ord{\'o}{\~n}ez and Milind Tambe and Richard John},
	Date-Modified = {2015-11-17 19:31:30 +0000},
	Doi = {http://dx.doi.org/10.1016/j.artint.2012.11.004},
	Issn = {0004-3702},
	Journal = {Artificial Intelligence},
	Keywords = {Decision-making},
	Pages = {440 - 469},
	Title = {Improving resource allocation strategies against human adversaries in security games: An extended study},
	Volume = {195},
	Year = {2013},
	Bdsk-Url-1 = {http://www.sciencedirect.com/science/article/pii/S000437021200152X},
	Bdsk-Url-2 = {http://dx.doi.org/10.1016/j.artint.2012.11.004}}

@article{trepte2018mutual,
  title={Mutual friends’ social support and self-disclosure in face-to-face and instant messenger communication},
  author={Trepte, Sabine and Masur, Philipp K and Scharkow, Michael},
  journal={The Journal of social psychology},
  volume={158},
  number={4},
  pages={430--445},
  year={2018},
  publisher={Taylor \& Francis}
}


@article{barak2007degree,
  title={Degree and reciprocity of self-disclosure in online forums},
  author={Barak, Azy and Gluck-Ofri, Orit},
  journal={CyberPsychology \& Behavior},
  volume={10},
  number={3},
  pages={407--417},
  year={2007},
  publisher={Mary Ann Liebert, Inc. 2 Madison Avenue Larchmont, NY 10538 USA}
}

@article{pan2018you,
  title={What you say is what you get: How self-disclosure in support seeking affects language use in support provision in online support forums},
  author={Pan, Wenjing and Feng, Bo and Skye Wingate, V},
  journal={Journal of Language and Social Psychology},
  volume={37},
  number={1},
  pages={3--27},
  year={2018},
  publisher={Sage Publications Sage CA: Los Angeles, CA}
}


@article{erdos59a,
  added-at = {2010-05-05T00:38:27.000+0200},
  author = {Erd\"{o}s, P. and R\'{e}nyi, A.},
  interhash = {99061fc859ba540d4485abfbce44f298},
  intrahash = {5aab47a7be9ec47644735f8e0a4607b6},
  journal = {Publicationes Mathematicae Debrecen},
  keywords = {graph sna},
  pages = 290,
  timestamp = {2010-05-05T00:38:27.000+0200},
  title = {On Random Graphs I},
  volume = 6,
  year = 1959
}

@inproceedings{andalibi2016understanding,
  title={Understanding social media disclosures of sexual abuse through the lenses of support seeking and anonymity},
  author={Andalibi, Nazanin and Haimson, Oliver L and De Choudhury, Munmun and Forte, Andrea},
  booktitle={Proc. of the 2016 CHI conference on human factors in computing systems},
  pages={3906--3918},
  year={2016}
}

@article{lee2013lonely,
  title={Lonely people are no longer lonely on social networking sites: The mediating role of self-disclosure and social support},
  author={Lee, Kyung-Tag and Noh, Mi-Jin and Koo, Dong-Mo},
  journal={Cyberpsychology, Behavior, and Social Networking},
  volume={16},
  number={6},
  pages={413--418},
  year={2013},
  publisher={Mary Ann Liebert, Inc. 140 Huguenot Street, 3rd Floor New Rochelle, NY 10801 USA}
}


@misc{wiederhold2020social,
  title={Social media use during social distancing},
  author={Wiederhold, Brenda K},
  year={2020},
  publisher={Mary Ann Liebert, Inc., publishers 140 Huguenot Street, 3rd Floor New~…}
}

@article{dong2020public,
  title={Public mental health crisis during COVID-19 pandemic, China},
  author={Dong, Lu and Bouey, Jennifer},
  journal={Emerging infectious diseases},
  volume={26},
  number={7},
  pages={1616},
  year={2020},
  publisher={Centers for Disease Control and Prevention}
}

@article{marroquin2020mental,
  title={Mental health during the COVID-19 pandemic: Effects of stay-at-home policies, social distancing behavior, and social resources},
  author={Marroqu{\'\i}n, Brett and Vine, Vera and Morgan, Reed},
  journal={Psychiatry research},
  volume={293},
  pages={113419},
  year={2020},
  publisher={Elsevier}
}

@article{seiter2021social,
  title={Social support and aggressive communication on social network sites during the COVID-19 pandemic},
  author={Seiter, Christian R and Brophy, Nate S},
  journal={Health communication},
  pages={1--10},
  year={2021},
  publisher={Taylor \& Francis}
}

@article{blose2020privacy,
  title={Privacy in Crisis: A study of self-disclosure during the Coronavirus pandemic},
  author={Blose, Taylor and Umar, Prasanna and Squicciarini, Anna and Rajtmajer, Sarah},
  journal={arXiv preprint arXiv:2004.09717},
  year={2020}
}

@inproceedings{umar2021self,
  title={Self-disclosure on Twitter During the COVID-19 Pandemic: A Network Perspective},
  author={Umar, Prasanna and Akiti, Chandan and Squicciarini, Anna and Rajtmajer, Sarah},
  booktitle={Joint European Conference on Machine Learning and Knowledge Discovery in Databases},
  pages={271--286},
  year={2021},
  organization={Springer}
}

@article{amosun2021wechat,
  title={WeChat usage during COVID-19 pandemic lockdown: the mediating role of online self-disclosure on quality of friendship and well-being},
  author={Amosun, Tunde Simeon and Jianxun, Chu and Rufai, Olayemi Hafeez and Muhideen, Sayibu and Shahani, Riffat and Shah, Zakir and Koroma, Jonathan},
  journal={Global Knowledge, Memory and Communication},
  year={2021},
  publisher={Emerald Publishing Limited}
}

@article{li2017review,
  title={A review of dynamic Stackelberg game models},
  author={Li, Tao and Sethi, Suresh P},
  journal={Discrete \& Continuous Dynamical Systems-B},
  volume={22},
  number={1},
  pages={125},
  year={2017},
  publisher={American Institute of Mathematical Sciences}
}

@inproceedings{squicciarini2020tipping,
  title={A Tipping Point? Heightened self-disclosure during the Coronavirus pandemic},
  author={Squicciarini, Anna and Raitmaier, Sarah and Umar, Prasanna and Blose, Taylor},
  booktitle={Proc. of IEEE CogMI},
  pages={141--146},
  year={2020},
  organization={IEEE}
}

@inproceedings{jaidka2020report,
  title={A report of the CL-Aff OffMyChest Shared Task: Modeling Supportiveness and Disclosure.},
  author={Jaidka, Kokil and Singh, Iknoor and Liu, Jiahui and Chhaya, Niyati and Ungar, Lyle},
  booktitle={AffCon@ AAAI},
  pages={118--129},
  year={2020}
}

@article{wang2012scalable,
  title={Scalable influence maximization for independent cascade model in large-scale social networks},
  author={Wang, Chi and Chen, Wei and Wang, Yajun},
  journal={Data Mining and Knowledge Discovery},
  volume={25},
  number={3},
  pages={545--576},
  year={2012},
  publisher={Springer}
}

@inproceedings{goyal2011simpath,
  title={Simpath: An efficient algorithm for influence maximization under the linear threshold model},
  author={Goyal, Amit and Lu, Wei and Lakshmanan, Laks VS},
  booktitle={2011 IEEE 11th international conference on data mining},
  pages={211--220},
  year={2011},
  organization={IEEE}
}