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Phys Rev E Stat Nonlin Soft Matter Phys. 2004 Sep;70(3):037101. doi: 10.1103/PhysRevE.70.037101. Epub 2004 Sep 03.

Assortative model for social networks.

Physical review. E, Statistical, nonlinear, and soft matter physics

Michele Catanzaro, Guido Caldarelli, Luciano Pietronero

Affiliations

  1. INFM UdR ROMA 1 Dipartimento di Fisica, Università di Roma La Sapienza, Piazzale A. Moro 2, 00185 Roma, Italy.

PMID: 15524673 DOI: 10.1103/PhysRevE.70.037101

Abstract

In this Brief Report we present a version of a network growth model, generalized in order to describe the behavior of social networks. The case of study considered is the preprint archive at cul.arxiv.org. Each node corresponds to a scientist, and a link is present whenever two authors wrote a paper together. This graph is a nice example of degree-assortative network, that is, to say a network where sites with similar degree are connected to each other. The model presented is one of the few able to reproduce such behavior, giving some insight on the microscopic dynamics at the basis of the graph structure.

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