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      The structure and function of complex networks

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          Abstract

          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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          Author and article information

          Journal
          25 March 2003
          Article
          10.1137/S003614450342480
          cond-mat/0303516
          Custom metadata
          SIAM Review 45, 167-256 (2003)
          Review article, 58 pages, 16 figures, 3 tables, 429 references, published in SIAM Review (2003)
          cond-mat.stat-mech cond-mat.dis-nn

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