Criteria for asymptotic clustering of opinion dynamics towards bimodal consensus
File(s)
Accepted version
Author(s)
Angeli, David
Manfredi, Sabato
Type
Journal Article
Abstract
By using the recently introduced framework of unilateral agents interactions, we provide tight graph-theoretical conditions ensuring asymptotic convergence of opinions in finite networks of cooperative agents towards equilibrium configurations where at most 2 distinct opinions persist. Such conditions extend previously known results on asymptotic agreement (or consensus).
Date Issued
2019-05-01
Date Acceptance
2019-01-09
Citation
Automatica, 2019, 103, pp.230-238
ISSN
0005-1098
Publisher
Elsevier
Start Page
230
End Page
238
Journal / Book Title
Automatica
Volume
103
Copyright Statement
© 2019 Elsevier Ltd. All rights reserved. This manuscript is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International Licence http://creativecommons.org/licenses/by-nc-nd/4.0/
Identifier
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000465060300026&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
Subjects
Science & Technology
Technology
Automation & Control Systems
Engineering, Electrical & Electronic
Engineering
Opinion dynamics
Bimodal consensus
Monotone systems
Consensus
Synchronization
Multi agent systems
SOCIAL NETWORKS
SYSTEMS
Publication Status
Published
Date Publish Online
2019-02-21