Identity and Social Distance in Friendship Formation
We analyze a network formation model where agents belong to different communities. Both individual benefits and costs depend on direct as well as indirect connections. Benefits of an indirect connection decrease with distance in the network while the cost of a link depends on the type of agents involved. Two individuals from the same community always face a low linking cost and the cost of forming a relationship for two individuals of different communities diminishes with the rate of exposure of each of them to the other community. We derive a number of results with regard to equilibrium networks. In particular, socialization among the same type of agents can be weak even if the within-type link cost is very low and oppositional identity patterns can arise for a wide range of parameters. Our model also suggests that policies aiming at reducing segregation are socially desirable only if they reduce the within-community cost differential by a sufficiently large amount.
|Date of creation:||01 Apr 2011|
|Contact details of provider:|| Postal: Department of Economics, Stockholm, S-106 91 Stockholm, Sweden|
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Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Yann Bramoullé & Brian W. Rogers, 2009.
"Diversity and Popularity in Social Networks,"
Cahiers de recherche
- Yann Bramoulle & Brian Rogers, 2009. "Diversity and Popularity in Social Networks," Discussion Papers 1475, Northwestern University, Center for Mathematical Studies in Economics and Management Science.
- Brian W. Rogers & Yann Bramoullé, 2009. "diversity and popularity in social networks," 2009 Meeting Papers 287, Society for Economic Dynamics.
- Ben-Ner, Avner & McCall, Brian P. & Stephane, Massoud & Wang, Hua, 2009. "Identity and in-group/out-group differentiation in work and giving behaviors: Experimental evidence," Journal of Economic Behavior & Organization, Elsevier, vol. 72(1), pages 153-170, October.
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