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Discovery and Diffusion of Knowledge in an Endogenous Social Network

Bibliographic Data

ID7619456
AuthorsMyong‐Hun Chang (0000-0002-2023-9778, Cleveland State University), Jr Joseph E Harrington, Joseph E Harrington (0000-0002-2686-4021, Johns Hopkins University)
Year2005
Volume110
Issue4
Pages937-976
Publication date2005-01-01
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueAmerican Journal of Sociology (JOURNAL)
Journal identifiersISSN: 0002-9602 • E-ISSN: 1537-5390
PublisherUniversity of Chicago Press (PUBLISHER • US)
DOI10.1086/426555
OpenAlexW2134568707
LanguageEN
Citations received4
References cited20

The authors explore the evolution of the structure and performance of a social network in a population of individuals who search for local optima in diverse and dynamic environments. Individuals choose whether to innovate or imitate, and in the latter case, from whom to learn. The probabilities of these possible actions respond to an individual’s past experiences using reinforcement learning. Among some of the authors’ more interesting findings is that a population’s performance is not monotonically increasing in either the reliability of the communication network or the productivity of innovation

Cognitive psychology · Economics · Knowledge management · Microeconomics · Monotonic function · Population · Productivity · Reinforcement learning · Reliability (semiconductor) · Social learning · Social network (sociolinguistics) · Sociology · Artificial Intelligence · Computer Science · Demography · Evolutionary Game Theory and Cooperation · Game Theory and Applications · Mathematics · Opinion Dynamics and Social Influence · Psychology

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Unique citing works4
Citations per year0,22
Citation span2008 - 2025 (18)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 4

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