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Attachment preferences in diverse collective problem-solving networks and systemic performance

Bibliographic Data

ID6436705
AuthorsCharles J Gomez (0000-0002-2982-7728, School of Sociology, The University of Arizona, Tucson, Arizona, USA), A D Sirianni (0000-0002-7710-3513, Georgetown University), Launy Schweiger (0000-0002-1537-3403, Department of Sociology, Queens College, The City University of New York, Flushing Queens, USA)
Year2024
Volume49
Issue1
Pages47-81
Publication date2024-11-22
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueJournal of Mathematical Sociology (JOURNAL)
Journal identifiersISSN: 0022-250X • E-ISSN: 1545-5874
PublisherTaylor & Francis (PUBLISHER • GB)
DOI10.1080/0022250x.2024.2428641
OpenAlexW4404638832
LanguageEN
References cited86

Collective problem-solving networks are common in modern life. They often benefit from having diverse members with complementary skills and perspectives, but this may be squandered if they self-select away from diverse counterparts and toward homogeneous groups or perceived competency. Building on the extensive tradition of “exploration-and-exploitation” agent-based modeling, we simulate communicative networks populated with diverse groups of agents tasked with solving complex problems. We compare diversity-seeking networks, where agents prefer ties to dissimilar agents, homophily-seeking networks, where agents prefer ties to similar agents, and merit-seeking networks, where agents prefer ties to agents who have found better solutions. We find that diversity-seeking networks perform well because diversity promotes more exploration for solutions and fosters network structures that more effectively disseminate them

Economics · Microeconomics · Sociology · Systemic risk · Complex Network Analysis Techniques · Computer Science · Game Theory and Applications · Opinion Dynamics and Social Influence · Psychology · Social Psychology

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