relation: http://eprints.imtlucca.it/1116/
title: Social network growth with assortative mixing
creator: Catanzaro, Michele
creator: Caldarelli, Guido
creator: Pietronero, Luciano
subject: HA Statistics
subject: QA75 Electronic computers. Computer science
subject: QC Physics
description: 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.
publisher: Elsevier
date: 2004-03
type: Article
type: PeerReviewed
identifier:   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)  
relation: http://dx.doi.org/10.1016/j.physa.2004.02.033
relation: 10.1016/j.physa.2004.02.033