Diversity and Popularity in Social Networks
AbstractHomophily, the tendency of linked agents to have similar characteristics, is an important feature of social networks. We present a new model of network formation that allows the linking process to depend on individuals types and study the impact of such a bias on the network structure. Our main results fall into three categories: (i) we compare the distributions of intra- and inter-group links in terms of stochastic dominance, (ii) we show how, at the group level, homophily depends on the groups size and the details of the formation process, and (iii) we understand precisely the determinants of local homophily at the individual level. Especially, we find that popular individuals have more diverse networks. Our results are supported empirically in the AddHealth data looking at networks of social connections between boys and girls.
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Bibliographic InfoPaper provided by CIRPEE in its series Cahiers de recherche with number 0903.
Date of creation: 2009
Date of revision:
Social networks; Network formation; Homophily; Diversity;
Other versions of this item:
- 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.
- A14 - General Economics and Teaching - - General Economics - - - Sociology of Economics
- D85 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Network Formation
- I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
This paper has been announced in the following NEP Reports:
- NEP-ALL-2009-02-14 (All new papers)
- NEP-NET-2009-02-14 (Network Economics)
- NEP-SOC-2009-02-14 (Social Norms & Social Capital)
- NEP-URE-2009-02-14 (Urban & Real Estate Economics)
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.:
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