Bayer, Peter (2023) Evolutionarily stable networks. TSE Working Paper, n. 23-1487, Toulouse
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Abstract
This paper studies the evolution of behavior governing strategic network formation. I first propose a general framework of evolutionary selection in non-cooperative games played in heterogeneous groups under assortative matching. I show that evolution selects strate-gies that (i) execute altruistic actions towards others in the interaction group with rate of altruism equal to the rate of assortative matching and (ii) are stable against pairwise coali-tional deviations under two qualifications: pairs successfully coordinate their deviations with probability equaling the rate of assortative matching and externalities are taken into account with the same weight. I then restrict the domain of interaction games to strategic network formation and define a new stability concept for networks called ‘evolutionarily stable networks’. The concept fuses ideas of solution concepts used by evolutionary game theory and network formation games. In a game of communication, evolutionarily stable networks prescribe equal information access. In the classic co-authorship game only the least efficient network, the complete network, is evolutionarily stable. Finally, I present an evolutionary model of homophilistic network formation between identity groups and show that extreme high degrees of homophily may persist even in groups with virtually no preference for it; thus societies may struggle to eliminate segregation between identity groups despite becoming increasingly tolerant.
Item Type: | Monograph (Working Paper) |
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Language: | English |
Date: | November 2023 |
Place of Publication: | Toulouse |
Uncontrolled Keywords: | Networks, Evolution, Relatedness, Stability, Homophily |
JEL Classification: | C73 - Stochastic and Dynamic Games; Evolutionary Games; Repeated Games D85 - Network Formation and Analysis - Theory |
Subjects: | B- ECONOMIE ET FINANCE |
Divisions: | TSE-R (Toulouse) |
Institution: | Université Toulouse Capitole |
Site: | UT1 |
Date Deposited: | 22 Nov 2023 08:38 |
Last Modified: | 22 Nov 2023 10:31 |
OAI Identifier: | oai:tse-fr.eu:128722 |
URI: | https://publications.ut-capitole.fr/id/eprint/48396 |