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      An introduction to exponential random graph (p*) models for social networks

      , , ,

      Social Networks

      Elsevier BV

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          Most cited references 25

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          The structure and function of complex networks

           M. Newman (2003)
          Inspired by empirical studies of networked systems such as the Internet, social networks, and biological networks, researchers have in recent years developed a variety of techniques and models to help us understand or predict the behavior of these systems. Here we review developments in this field, including such concepts as the small-world effect, degree distributions, clustering, network correlations, random graph models, models of network growth and preferential attachment, and dynamical processes taking place on networks.
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            Logit models and logistic regressions for social networks: I. An introduction to Markov graphs andp

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              The Focused Organization of Social Ties

               Scott Feld (1981)
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                Author and article information

                Journal
                Social Networks
                Social Networks
                Elsevier BV
                03788733
                May 2007
                May 2007
                : 29
                : 2
                : 173-191
                Article
                10.1016/j.socnet.2006.08.002
                © 2007

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