Modeling Interest-Driven Data Dissemination in Online Social Networks

Cheng Wang, Zhenzhen Zhang, Jieren Zhou, Yuan He, Jipeng Cui, Changjun Jiang

Abstract: In this paper, we aim to model the formation of interest-driven data dissemination in online social networks (OSNs). We focus on a usual type of interest-driven social sessions in OSNs, called Social-InterestCast, under which a user will autonomously determine whether to view the content from his followees depending on his interest. To figure out the formation mechanism of such a Social-InterestCast, we propose a four-layered system model, consisting of physical layer, social layer, content layer, and session layer to model this interestdriven sessions. To the best of our knowledge, this is the first work to model data dissemination in OSNs with the interestdriven characteristics.