@article{eprints1116,
          volume = {338},
           month = {March},
           pages = {119--124},
          number = {1-2},
           title = {Social network growth with assortative mixing},
            year = {2004},
       publisher = {Elsevier},
         journal = {Physica A: Statistical Mechanics and its Applications},
          author = {Michele Catanzaro and Guido Caldarelli and Luciano Pietronero},
        keywords = {PACS: 89.75.?k; 89.75.Hc; 89.65.?s. Keywords:Social networks; Assortativity},
             url = {http://eprints.imtlucca.it/1116/},
        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.}
}