Gossip-based model for opinion dynamics with probabilistic group interactions

College

College of Computer Studies

Department/Unit

Software Technology

Document Type

Conference Proceeding

Source Title

Proceedings of the 51st ISCIE International Symposium on Stochastic Systems Theory and Its Applications

First Page

60

Publication Date

2019

Abstract

Classical models of opinion dynamics utilize deterministic methods to describe how opinions evolve within a social network. More recent models are shifting towards randomized processes to emulate real-world interactions. These include gossip-based models that use pairwise interactions to represent the opinion formation process. In this paper, we propose to extend the gossip-based models for opinion dynamics by allowing group interactions with randomly selected participants.

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Disciplines

Computer Sciences

Keywords

Multiagent systems

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