Explaining clustering in social networks: towards an evolutionary theory of cascading benefits
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.
Volume (Year): 27 (2006)
Issue (Month): 2-3 ()
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- Lisa Cameron, 1995.
"Raising the Stakes in the Ultimatum Game: Experimental Evidence From Indonesia,"
724, Princeton University, Department of Economics, Industrial Relations Section..
- Cameron, Lisa A, 1999. "Raising the Stakes in the Ultimatum Game: Experimental Evidence from Indonesia," Economic Inquiry, Western Economic Association International, vol. 37(1), pages 47-59, January.
- Sorenson, Olav & Rivkin, Jan W. & Fleming, Lee, 2006.
"Complexity, networks and knowledge flow,"
Elsevier, vol. 35(7), pages 994-1017, September.
- 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.
- 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.
- Martin J. Conyon & Mark R. Muldoon, 2006. "The Small World of Corporate Boards," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 33(9-10), pages 1321-1343.
- 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.
- Michael Prietula & Kathleen Carley & Les Gasser (ed.), 1998. "Simulating Organizations: Computational Models of Institutions and Groups," MIT Press Books, The MIT Press, edition 1, volume 1, number 026266108x, June.
- Herbert Gintis, 2000. "Strong Reciprocity and Human Sociality," UMASS Amherst Economics Working Papers 2000-02, University of Massachusetts Amherst, Department of Economics.
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