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      Mining Heterogeneous Information Networks: Principles and Methodologies

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      Synthesis Lectures on Data Mining and Knowledge Discovery
      Morgan & Claypool Publishers LLC

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          Emergence of scaling in random networks

          Systems as diverse as genetic networks or the world wide web are best described as networks with complex topology. A common property of many large networks is that the vertex connectivities follow a scale-free power-law distribution. This feature is found to be a consequence of the two generic mechanisms that networks expand continuously by the addition of new vertices, and new vertices attach preferentially to already well connected sites. A model based on these two ingredients reproduces the observed stationary scale-free distributions, indicating that the development of large networks is governed by robust self-organizing phenomena that go beyond the particulars of the individual systems.
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            Normalized cuts and image segmentation

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              A new status index derived from sociometric analysis

              Leo Katz (1953)
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                Author and article information

                Journal
                Synthesis Lectures on Data Mining and Knowledge Discovery
                Synthesis Lectures on Data Mining and Knowledge Discovery
                Morgan & Claypool Publishers LLC
                2151-0067
                2151-0075
                July 18 2012
                July 18 2012
                : 3
                : 2
                : 1-159
                Article
                10.2200/S00433ED1V01Y201207DMK005
                91ec2b43-c507-4584-a99a-e116a66f0789
                © 2012
                History

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