English

Disassortative mixing in online social networks

Physics and Society 2009-09-03 v1 Data Analysis, Statistics and Probability Popular Physics

Abstract

The conventional wisdom is that social networks exhibit an assortative mixing pattern, whereas biological and technological networks show a disassortative mixing pattern. However, the recent research on the online social networks modifies the widespread belief, and many online social networks show a disassortative or neutral mixing feature. Especially, we found that an online social network, Wealink, underwent a transition from degree assortativity characteristic of real social networks to degree disassortativity characteristic of many online social networks, and the transition can be reasonably elucidated by a simple network model that we propose. The relations among network assortativity, clustering, and modularity are also discussed in the paper.

Keywords

Cite

@article{arxiv.0909.0450,
  title  = {Disassortative mixing in online social networks},
  author = {Haibo Hu and Xiaofan Wang},
  journal= {arXiv preprint arXiv:0909.0450},
  year   = {2009}
}

Comments

6 pages, 5 figures, 1 table