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Clustering and Preferential Attachment in Growing Networks

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Author Info
M. E. J. Newman
Abstract

We study empirically the time evolution of scientific collaboration networks in physics and biology. In these networks, two scientists are considered connected if they have coauthored one or more papers together. We show that the probability of scientists collaborating increases with the number of other collaborators they have in common, and that the probability of a particular scientist acquiring new collaborators increases with the number of his or her past collaborators. These results provide experimental evidence in favor of previously conjectured mechanisms for clustering and power-law degree distributions in networks.

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Paper provided by Santa Fe Institute in its series Working Papers with number 01-03-021.

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Date of creation: Mar 2001
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Handle: RePEc:wop:safiwp:01-03-021

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  1. Cristopher Moore & M. E. J. Newman, 2000. "Epidemics and Percolation in Small-World Networks," Working Papers 00-01-002, Santa Fe Institute.
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  1. Nicolas CARAYOL (BETA) & Pascale ROUX (GRES-LEREPS), 2003. "Self-Organizing Innovation Networks: When do Small Worlds Emerge?," Cahiers du GRES 2003-08, Groupement de Recherches Economiques et Sociales. [Downloadable!]
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This page was last updated on 2009-11-20.


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