English

Finding Cliques in Social Networks: A New Distribution-Free Model

Combinatorics 2018-04-26 v1 Discrete Mathematics Data Structures and Algorithms Social and Information Networks

Abstract

We propose a new distribution-free model of social networks. Our definitions are motivated by one of the most universal signatures of social networks, triadic closure---the property that pairs of vertices with common neighbors tend to be adjacent. Our most basic definition is that of a "cc-closed" graph, where for every pair of vertices u,vu,v with at least cc common neighbors, uu and vv are adjacent. We study the classic problem of enumerating all maximal cliques, an important task in social network analysis. We prove that this problem is fixed-parameter tractable with respect to cc on cc-closed graphs. Our results carry over to "weakly cc-closed graphs", which only require a vertex deletion ordering that avoids pairs of non-adjacent vertices with cc common neighbors. Numerical experiments show that well-studied social networks tend to be weakly cc-closed for modest values of cc.

Keywords

Cite

@article{arxiv.1804.07431,
  title  = {Finding Cliques in Social Networks: A New Distribution-Free Model},
  author = {Jacob Fox and Tim Roughgarden and C. Seshadhri and Fan Wei and Nicole Wein},
  journal= {arXiv preprint arXiv:1804.07431},
  year   = {2018}
}

Comments

main text 13 pages; 2 figures; appendix 9 pages