Article thumbnail
Location of Repository

ChoiceGAPs: Competitive Diffusion as a Massive Multi-Player Game in Social Networks

By Edoardo Serra, Francesca Spezzano and V. S. Subrahmanian

Abstract

We consider the problem of modeling competitive diffusion in real world social networks via the notion of ChoiceGAPs which combine choice logic programs and Generalized Annotated Programs. We assume that each vertex in a social network is a player in a multi-player game (with a huge number of players) — the choice part of the ChoiceGAPs describes utilities of players for acting in various ways based on utilities of their neighbors in those and other situations. We define multi-player Nash equilibrium for such programs — but because they require some conditions that are hard to satisfy in the real world, we introduce the new model-theoretic concept of strong equilibrium. We show that strong equilibria can capture all Nash equilibria. We prove a host of complexity (intractability) results for checking existence of strong equilibria and identify a class of ChoiceGAPs for which strong equilibria can be polynomially computed. We perform experiments on a real-world Facebook data set surrounding the 2013 Italian election and show that our algorithms have good predictive accuracy with an Area Under a ROC Curve that, on average, is over 0.76

Topics: artificial intelligence (incl. robotics), database management, information systems applications (incl. Internet), information storage and retrieval, mathematical logic and formal languages, algorithm analysis and problem complexity, Computer Sciences
Publisher: 'Springer Science and Business Media LLC'
Year: 2016
DOI identifier: 10.1007/978-3-319-45856-4_21
OAI identifier: oai:scholarworks.boisestate.edu:cs_facpubs-1074
Download PDF:
Sorry, we are unable to provide the full text but you may find it at the following location(s):
  • http://dx.doi.org/10.1007/978-... (external link)
  • https://scholarworks.boisestat... (external link)
  • Suggested articles


    To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.