Network, Popularity and Social Cohesion: A Game-Theoretic Approach

Abstract

In studies of social dynamics, cohesion refers to a group's tendency to stay in unity, which -- as argued in sociometry — arises from the network topology of interpersonal ties. We follow this idea and propose a game-based model of cohesion that not only relies on the social network, but also reflects individuals' social needs. In particular, our model is a type of cooperative games where players may gain popularity by strategically forming groups. A group is socially cohesive if the grand coalition is core stable. We study social cohesion in some special types of graphs and draw a link between social cohesion and a classical notion of structural cohesion by White and Harary. We then focus on the problem of deciding whether a given social network is socially cohesive and show that this problem is CoNP-complete. Nevertheless, we give two efficient heuristics for coalition structures where players enjoy high popularity and experimentally evaluate their performances.

Cite

Text

Liu and Wei. "Network, Popularity and Social Cohesion: A Game-Theoretic Approach." AAAI Conference on Artificial Intelligence, 2017. doi:10.1609/AAAI.V31I1.10568

Markdown

[Liu and Wei. "Network, Popularity and Social Cohesion: A Game-Theoretic Approach." AAAI Conference on Artificial Intelligence, 2017.](https://mlanthology.org/aaai/2017/liu2017aaai-network/) doi:10.1609/AAAI.V31I1.10568

BibTeX

@inproceedings{liu2017aaai-network,
  title     = {{Network, Popularity and Social Cohesion: A Game-Theoretic Approach}},
  author    = {Liu, Jiamou and Wei, Ziheng},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2017},
  pages     = {600-606},
  doi       = {10.1609/AAAI.V31I1.10568},
  url       = {https://mlanthology.org/aaai/2017/liu2017aaai-network/}
}