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)
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
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