Belief and Opinion Evolution in Social Networks Based on a Multi-Population Mean Field Game Approach

Reginald A. Banez, Hao Gao, Lixin Li, Chungang Yang, Zhu Han, H. Vincent Poor

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

Abstract

The number of users engaged in social media through social networks continues to grow as people become more passionate on current social issues and events. People using social networks tend to have different opinions or positions regarding these issues and events. However, social network users share similar characteristics such as political orientation, age, and gender. Since the users of social networks can be grouped according to their similarities, then we would like to observe how these users affect the belief and opinion of other users in the same or different groups. Inspired by this phenomenon, we propose a multi-population mean field game approach to capture the belief and opinion evolution of a social network with several populations. Through the proposed model, we can gain information on the behavior of social network users belonging to different groups. Moreover, we can utilize the proposed model to predict how social network users affect the belief and opinion of each other. The multi-population social network mean field game problem is solved analytically using an adjoint method. Then, simulations are provided to show the belief and opinion evolution of users in a multi-population social network.

Original languageEnglish (US)
Title of host publication2020 IEEE International Conference on Communications, ICC 2020 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728150895
DOIs
StatePublished - Jun 2020
Event2020 IEEE International Conference on Communications, ICC 2020 - Dublin, Ireland
Duration: Jun 7 2020Jun 11 2020

Publication series

NameIEEE International Conference on Communications
Volume2020-June
ISSN (Print)1550-3607

Conference

Conference2020 IEEE International Conference on Communications, ICC 2020
CountryIreland
CityDublin
Period6/7/206/11/20

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Electrical and Electronic Engineering

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