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Games 2018, 9(4), 83;

Homophily and Social Norms in Experimental Network Formation Games

Department of Economics, Simon Fraser University, 8888 University Drive, Burnaby, BC V5A 1S6, Canada
PPE Program, University of Pennsylvania, 313 Claudia Cohen Hall, 249 South 36th Street, Philadelphia, PA 19104, USA
Author to whom correspondence should be addressed.
Received: 21 September 2018 / Revised: 11 October 2018 / Accepted: 16 October 2018 / Published: 19 October 2018
(This article belongs to the Special Issue Games on Networks: From Theory to Experiments)
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Field studies of networks have uncovered a preference to befriend people we perceive as similar according to some dimensions of our identity (“homophily”). Lab studies of network formation games have found that adherence to social norms of reciprocity and inequity aversion are also drivers of network choices. No study so far has attempted to investigate the role of both homophily and social norms in a controlled environment. At the beginning of our experiment, each player fills in a personal profile. Each player then views the profile of all other players and expresses a degree of perceived similarity between his/her profile and the profile of the other player. At this point, a repeated network formation game ensues. We find that: (1) potential homophily considerations triggered by the profile rating task did not measurably change the players’ behavior compared to the baseline; (2) reciprocity plays a significant role in the formulation of the players’ strategies, in particular lowering the probability that the player naively best responds to the network observed in the previous period. We speculate that reciprocation of past choices might be a more “available” aid in strategy-formulation than considerations related to the similarity of the other players. View Full-Text
Keywords: networks; identity; heterogeneity; homophily; reciprocity; inequity networks; identity; heterogeneity; homophily; reciprocity; inequity

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Arifovic, J.; Danese, G. Homophily and Social Norms in Experimental Network Formation Games. Games 2018, 9, 83.

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