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      Cartography of complex networks: modules and universal roles.

      1 ,
      Journal of statistical mechanics (Online)
      IOP Publishing

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          Abstract

          Integrative approaches to the study of complex systems demand that one knows the manner in which the parts comprising the system are connected. The structure of the complex network defining the interactions provides insight into the function and evolution of the components of the system. Unfortunately, the large size and intricacy of these networks implies that such insight is usually difficult to extract. Here, we propose a method that allows one to systematically extract and display information contained in complex networks. Specifically, we demonstrate that one can (i) find modules in complex networks and (ii) classify nodes into universal roles according to their pattern of within- and between-module connections. The method thus yields a 'cartographic representation' of complex networks.

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          Author and article information

          Journal
          J Stat Mech
          Journal of statistical mechanics (Online)
          IOP Publishing
          1742-5468
          1742-5468
          Feb 01 2005
          : 2005
          : P02001
          Affiliations
          [1 ] NICO and Department of Chemical and Biological Engineering, Northwestern University, Evanston, IL 60208, USA E-mail: rguimera@northwestern.edu and amaral@northwestern.edu.
          Article
          NIHMS35573
          10.1088/1742-5468/2005/02/P02001
          2151742
          18159217
          493f6b2d-c106-4d0b-822d-a69fa6f70f10
          History

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