Convexity in scientific collaboration networks

Lovro Subelj, Dalibor Fiala, Tadej Ciglaric, Luka Kronegger

Abstract: Highlights•We analyzed datasets of Slovenian researchers’ collaborations in computer science, physics, sociology, and two other fields.•We determined the convex skeletons in those collaboration networks by removing the so-called weak links from them.•We generated frequency distributions of various data parameters of the skeletons and of the residual graphs.•We found that convex skeletons were a good abstraction of the original co-authorship networks.