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. (C) 2004 Elsevier B.V. All rights reserved.
SOCIAL NETWORK GROWTH WITH ASSORTATIVE MIXING / M., Catanzaro; G., Caldarelli; Pietronero, Luciano. - In: PHYSICA. A. - ISSN 0378-4371. - STAMPA. - 338:(2004), pp. 119-122. [10.1016/j.physa.2004.02.033]
SOCIAL NETWORK GROWTH WITH ASSORTATIVE MIXING
PIETRONERO, Luciano
2004
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. (C) 2004 Elsevier B.V. All rights reserved.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.