eprintid: 1116
rev_number: 7
eprint_status: archive
userid: 6
dir: disk0/00/00/11/16
datestamp: 2012-02-14 13:19:55
lastmod: 2012-02-14 13:19:55
status_changed: 2012-02-14 13:19:55
type: article
metadata_visibility: show
creators_name: Catanzaro, Michele
creators_name: Caldarelli, Guido
creators_name: Pietronero, Luciano
creators_id: 
creators_id: guido.caldarelli@imtlucca.it
creators_id: 
title: Social network growth with assortative mixing
ispublished: pub
subjects: HA
subjects: QA75
subjects: QC
divisions: EIC
full_text_status: none
keywords: PACS: 89.75.−k; 89.75.Hc; 89.65.−s. Keywords:Social networks; Assortativity
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.
date: 2004-03
date_type: published
publication: Physica A: Statistical Mechanics and its Applications
volume: 338
number: 1-2
publisher: Elsevier
pagerange: 119-124
id_number: 10.1016/j.physa.2004.02.033
refereed: TRUE
issn: 0378-4371
official_url: http://dx.doi.org/10.1016/j.physa.2004.02.033
citation:   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)