Abstract

 
 

References (65)



 


 



Measuring Segregation in Social Networks


Michal Bojanowski


University of Warsaw - Interdisciplinary Centre for Mathematical and Computational Modelling

Rense Corten


Utrecht University - Department of Sociology/ICS

June 28, 2011


Abstract:     
Network homophily is a pattern in which ties are more likely to exist between nodes similar to each other. It is frequently observed for various types of social relations. At the same time, segregation is often encountered in urban areas as a tendency of families to occupy neighborhoods inhabited by other families similar to them. In this paper we conceptualize both phenomena as in the language of networks of interlinked positions occupied by a population of actors characterized by some node-level attribute. We review existing indexes and approaches to measuring the extent of homophily/segregation in social networks. We pursue an axiomatic-like approach by first specifying a set of basic properties that a generic segregation measure might possess, and which, in our view, are relevant in substantial contexts. We check which measures satisfy which properties. Given the particular application and the need for some descriptive measure of segregation, the results presented in this paper can help in selecting an optimal measure for the task at hand. We conclude that the most crucial aspects for the choice of a particular segregation measure include (1) whether the network ties or actors' attributes are assumed to be subject to change, and (2) how one should treat the presence of network isolates.

Number of Pages in PDF File: 39

Keywords: social networks, segregation, homophily, measurement

working papers series


Download This Paper

Date posted: June 28, 2011  

Suggested Citation

Bojanowski, Michal and Corten, Rense, Measuring Segregation in Social Networks (June 28, 2011). Available at SSRN: http://ssrn.com/abstract=1873465 or http://dx.doi.org/10.2139/ssrn.1873465

Contact Information

Michal Bojanowski (Contact Author)
University of Warsaw - Interdisciplinary Centre for Mathematical and Computational Modelling ( email )
Warsaw
Poland
Rense Corten
Utrecht University - Department of Sociology/ICS ( email )
Heidelberglaan 2
Utrecht, 3584 CS
Netherlands
Feedback to SSRN (Beta)


Paper statistics
Abstract Views: 652
Downloads: 95
Download Rank: 141,159
References:  65

© 2013 Social Science Electronic Publishing, Inc. All Rights Reserved.  FAQ   Terms of Use   Privacy Policy   Copyright
This page was processed by apollo2 in 0.500 seconds