A dynamic network population model with strategic link formation governed by individual preferences

DOI10.1016/J.JTBI.2013.06.024zbMath1397.92561OpenAlexW2113112354WikidataQ46407648 ScholiaQ46407648MaRDI QIDQ1790741

Chris Cannings, Mark Broom

Publication date: 4 October 2018

Published in: Journal of Theoretical Biology (Search for Journal in Brave)

Full work available at URL: https://openaccess.city.ac.uk/id/eprint/2500/1/link.pdf

zbMATH Keywords

Markov processsocial networksreversible processgraphic sequencesdegree-preferences

Mathematics Subject Classification ID

Problems related to evolution (92D15) Population dynamics (general) (92D25) Applications of Markov chains and discrete-time Markov processes on general state spaces (social mobility, learning theory, industrial processes, etc.) (60J20)

Related Items (11)

Modelling evolution in structured populations involving multiplayer interactions ⋮ Chris Cannings: a life in games ⋮ Game theoretical modelling of a dynamically evolving network. II: Target sequences of score 1 ⋮ Older partner selection promotes the prevalence of cooperation in evolutionary games ⋮ Game theoretical modelling of a dynamically evolving network. I: General target sequences ⋮ The game-theoretical modelling of a dynamically evolving network: revisiting the target sequence 111 ⋮ Resource competition amid overlapping territories: the territorial raider model applied to multi-group interactions ⋮ Graphic deviation ⋮ Stochastic analysis of average-based distributed algorithms ⋮ Modelling conflicting individual preference: target sequences and graph realization ⋮ Relaxed and approximate graph realizations

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