Reaching consensus via coordinated groups

College

College of Computer Studies

Department/Unit

Software Technology

Document Type

Article

Source Title

SICE Journal of Control, Measurement, and System Integration

Volume

14

Issue

1

First Page

20

Last Page

26

Publication Date

2021

Abstract

Models of opinion dynamics have been used to depict how the opinions of agents within a social network evolve based on their interconnections and interactions. The collective behaviour of agents can also exhibit certain social phenomena such as convergence to a consensus or disagreement. In this study, we propose a gossip-based model for the opinion dynamics of interconnected groups and describe how they can reach consensus. Through analysis of the convergence properties of its expected dynamics, we show that the number of groups can affect the rate by which the network reaches consensus. We also include numerical examples to demonstrate our proposed model and its properties.

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Disciplines

Computer Sciences

Keywords

Multiagent systems

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