Feedback between node and network dynamics can produce real-world network properties
AbstractReal-world networks are characterized by common features, including among others a scale-free degree distribution, a high clustering coefficient and a short typical distance between nodes. These properties are usually explained by the dynamics of edge and node addition and deletion.
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Bibliographic InfoArticle provided by Elsevier in its journal Physica A: Statistical Mechanics and its Applications.
Volume (Year): 391 (2012)
Issue (Month): 24 ()
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Web page: http://www.journals.elsevier.com/physica-a-statistical-mechpplications/
Social networks; Neural networks; Stochastic processes; Scale-free; Hebbian learning;
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