The Impact of Network Flows on Community Formation in Models of Opinion Dynamics

Bibliographic Data

ID10142371
AuthorsRumi Ghosh (Robert Bosch (United States)), Kristina Lerman (0000-0002-5071-0575, University of Southern California, corresponding author)
Year2015
Volume39
Issue2
Pages109-124
Publication date2015-03-20
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueJournal of Mathematical Sociology (JOURNAL)
Journal identifiersISSN: 0022-250X • E-ISSN: 1545-5874
PublisherTaylor & Francis (PUBLISHER • GB)
DOI10.1080/0022250x.2014.905776
OpenAlexW2119963788
LanguageEN
References cited29

We study dynamics of opinion formation in a network of coupled agents. As the network evolves to a steady state, opinions of agents within the same community converge faster than those of other agents. This framework allows us to study how network topology and network flow, which mediates the transfer of opinions between agents, both affect the formation of communities. In traditional models of opinion dynamics, agents are coupled via conservative flows, which result in one-to-one opinion transfer. However, social interactions are often nonconservative, resulting in one-to-many transfer of opinions. We study opinion formation in networks using one-to-one and one-to-many interactions and show that they lead to different community structure within the same network

Affect (linguistics · Complex network · Computer network · Distributed computing · Dynamics (music · Network dynamics · Network formation · Network structure · Network topology · Social media · Social network (sociolinguistics · Sociology · Topology (electrical circuits · World Wide Web · Communication · Complex Network Analysis Techniques · Computer Science · Evolutionary Game Theory and Cooperation · Mathematics · Opinion Dynamics and Social Influence

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