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Explaining clustering in social networks: towards an evolutionary theory of cascading benefits Author info | Abstract | Publisher info | Download info | Related research | Statistics Sheen S. Levine (Management Department, Lee Kong Chian School of Business, Singapore Management University, Singapore 178899, Singapore)
Robert Kurzban (Department of Psychology, 3720 Walnut Street, University of Pennsylvania, Philadelphia, PA 19104, USA)
Individual and organizational actors enter into a large number of relationships that include benefiting others without ensuring the equality of reciprocal benefits. We suggest that actors have evolved mechanisms that guide them in the choice of exchange partners, even without conscious calculation or bookkeeping of gain and loss. One such mechanism directs actors to membership in clusters, which are homogenous groups of actors densely connected among themselves and only loosely connected to other groups. We suggest that clusters offer network externalities, which are not possible in sparse networks, thus conferring cascading benefits on the actors contained in those clusters. Using this logic, one can understand the omnipresence of clustering in social networks of individuals and firms. We review the benefits and challenges associated with clustering and use the logic of cascading benefits to derive empirical predictions. Copyright © 2006 John Wiley & Sons, Ltd.
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Article provided by John Wiley & Sons, Ltd. in its journal Managerial and Decision Economics .
Volume (Year): 27 (2006)
Issue (Month): 2-3 ()
Pages: 173-187
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Handle: RePEc:wly:mgtdec:v:27:y:2006:i:2-3:p:173-187Contact details of provider: Web page: http://www3.interscience.wiley.com/cgi-bin/jhome/7976
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Keywords: References listed on IDEAS 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.:
Levinthal, Daniel & March, James G., 1981.
"A model of adaptive organizational search ,"
Journal of Economic Behavior & Organization ,
Elsevier, vol. 2(4), pages 307-333, December.
[Downloadable!] (restricted)
Herbert Gintis, 2000.
"Strong Reciprocity and Human Sociality ,"
Working Papers
2000-02, University of Massachusetts Amherst, Department of Economics.
[Downloadable!]
Joel A. C. Baum & Andrew V. Shipilov & Tim J. Rowley, 2003.
"Where do small worlds come from? ,"
Industrial and Corporate Change ,
Oxford University Press, vol. 12(4), pages 697-725, August.
Robert Slonim & Alvin E. Roth, 1998.
"Learning in High Stakes Ultimatum Games: An Experiment in the Slovak Republic ,"
Econometrica ,
Econometric Society, vol. 66(3), pages 569-596, May.
Cameron, Lisa A, 1999.
"Raising the Stakes in the Ultimatum Game: Experimental Evidence from Indonesia ,"
Economic Inquiry ,
Oxford University Press, vol. 37(1), pages 47-59, January.
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