Modeling opinion dynamics in a social network

Qi Gu, Eugene Santos, Eunice E. Santos

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

Abstract

Opinion dynamics is a complex procedure that entails a cognitive process when dealing with how a person integrates influential opinions to form a revised opinion. In this work, we present a new approach to model opinion dynamics by treating the opinion on an issue as a product inferred from one's knowledge bases, where the knowledge bases keep growing and updating through social interaction. A general impact metric is proposed to evaluate the likelihood of a person adopting the opinions from others. Specifically, a set of domain-independent influential factors is selected based on social and communication theories, but the weights of these factors are missing. Though the opinions from different actors are not integrated linearly like traditional methods, we show that the factor weights can be efficiently learned via regression. We validated the effectiveness of our model by comparing against a baseline model on both synthetic and real datasets. The contribution of this paper lies with 1) a novel opinion dynamics model that emphasize the dependencies between knowledge pieces; 2) proof that the classical DeGroot model is a special case of our model under certain conditions; and, 3) to the best of our knowledge, this is the first work to try and uncover the mechanism that guides the selection of opinions in the real world by modeling opinion change.

Original languageEnglish (US)
Title of host publicationProceedings - 2013 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, IAT 2013
PublisherIEEE Computer Society
Pages9-16
Number of pages8
ISBN (Print)9781479929023
DOIs
StatePublished - Jan 1 2013
Externally publishedYes
Event2013 12th IEEE/WIC/ACM International Conference on Intelligent Agent Technology, IAT 2013 - Atlanta, GA, United States
Duration: Nov 17 2013Nov 20 2013

Publication series

NameProceedings - 2013 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, IAT 2013
Volume2

Conference

Conference2013 12th IEEE/WIC/ACM International Conference on Intelligent Agent Technology, IAT 2013
CountryUnited States
CityAtlanta, GA
Period11/17/1311/20/13

Keywords

  • Influential factors
  • Knowledge fusion
  • Opinion dynamics
  • Opinion formation

ASJC Scopus subject areas

  • Artificial Intelligence

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  • Cite this

    Gu, Q., Santos, E., & Santos, E. E. (2013). Modeling opinion dynamics in a social network. In Proceedings - 2013 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, IAT 2013 (pp. 9-16). [6690764] (Proceedings - 2013 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, IAT 2013; Vol. 2). IEEE Computer Society. https://doi.org/10.1109/WI-IAT.2013.84