The influence of tie strength on evolutionary games on networks: An empirical investigation

Pierre Buesser, Jorge Peña, Enea Pestelacci and Marco Tomassini

Physica A: Statistical Mechanics and its Applications, 2011, vol. 390, issue 23, 4502-4513

Abstract: Extending previous work on unweighted networks, we present here a systematic numerical investigation of standard evolutionary games on weighted networks. In the absence of any reliable model for generating weighted social networks, we attribute weights to links in a few ways supported by empirical data ranging from totally uncorrelated to weighted bipartite networks. The results of the extensive simulation work on standard complex network models show that, except in a case that does not seem to be common in social networks, taking the tie strength into account does not change in a radical manner the long-run steady-state behavior of the studied games. Besides model networks, we also included a real-life case drawn from a coauthorship network. In this case also, taking the weights into account only changes the results slightly with respect to the raw unweighted graph, although to draw more reliable conclusions on real social networks many more cases should be studied as these weighted networks become available.

Keywords: Evolutionary games; Complex networks; Weighted networks (search for similar items in EconPapers)
Date: 2011
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Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:390:y:2011:i:23:p:4502-4513

DOI: 10.1016/j.physa.2011.07.021

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