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Social network growth with assortative mixing

Catanzaro, Michele and Caldarelli, Guido and Pietronero, Luciano Social network growth with assortative mixing. Physica A: Statistical Mechanics and its Applications, 338 (1-2). pp. 119-124. ISSN 0378-4371 (2004)

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Abstract

Networks representing social systems display specific features that put them apart from biological and technological ones. In particular, the number of links attached to a node is positively correlated to that of its nearest neighbours. We develop a model that reproduces this feature, starting from microscopical mechanisms of growth. The statistical properties arising from the simulations are in good agreement with those of the real-world social networks of scientists co-authoring papers in condensed matter physics. Moreover, the model highlights the determinant role of correlations in shaping the network's topology.

Item Type: Article
Identification Number: https://doi.org/10.1016/j.physa.2004.02.033
Uncontrolled Keywords: PACS: 89.75.−k; 89.75.Hc; 89.65.−s. Keywords:Social networks; Assortativity
Subjects: H Social Sciences > HA Statistics
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Q Science > QC Physics
Research Area: Economics and Institutional Change
Depositing User: Ms T. Iannizzi
Date Deposited: 14 Feb 2012 13:19
Last Modified: 14 Feb 2012 13:19
URI: http://eprints.imtlucca.it/id/eprint/1116

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