Consensus on social graphs under increasing peer pressure

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, we present a novel generalized framework for expressing peer influence dynamics over time in a set of connected individuals, or agents. The proposed framework supports the representation of individual variability through parametrization accounting for differences in susceptibility to peer influence and pairwise relationship strengths. Modeling agents' opinions and behaviors as strategies changing discretely and simultaneously, we formally describe the evolution of strategies in a social network as the composition of contraction maps. We identify points of convergence and analyze these points under various conditions.

Original languageEnglish (US)
Title of host publication16th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2017
EditorsEdmund Durfee, Michael Winikoff, Kate Larson, Sanmay Das
PublisherInternational Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS)
Pages1731-1732
Number of pages2
ISBN (Electronic)9781510855076
StatePublished - Jan 1 2017
Event16th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2017 - Sao Paulo, Brazil
Duration: May 8 2017May 12 2017

Publication series

NameProceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS
Volume3
ISSN (Print)1548-8403
ISSN (Electronic)1558-2914

Other

Other16th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2017
CountryBrazil
CitySao Paulo
Period5/8/175/12/17

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Software
  • Control and Systems Engineering

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  • Cite this

    Semonsen, J., Griffin, C., Squicciarini, A., & Rajtmajer, S. (2017). Consensus on social graphs under increasing peer pressure. In E. Durfee, M. Winikoff, K. Larson, & S. Das (Eds.), 16th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2017 (pp. 1731-1732). (Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS; Vol. 3). International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS).