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Measuring dynamics and structural change of time-dependent socio-economic networks

Listed author(s):
  • Marco Fattore

    ()

  • Rosanna Grassi
Registered author(s):

    This paper addresses the issue of measuring temporal dynamics of complex socio-economic relational systems, represented as time-dependent networks. Network dynamics is first splitted into a structural component, accounting for changes in the network topology, and a non-structural component, accounting for permutation of vertex labels. A quantitative measure of the dynamics and its components is then proposed and it is shown how it can be used to investigate and interpret the time evolution of networks. A real example is discussed, pertaining to the dynamics of a subnetwork of the Italian corporate board network. Copyright Springer Science+Business Media Dordrecht 2014

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    File URL: http://hdl.handle.net/10.1007/s11135-013-9861-1
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    Article provided by Springer in its journal Quality & Quantity.

    Volume (Year): 48 (2014)
    Issue (Month): 4 (July)
    Pages: 1821-1834

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    Handle: RePEc:spr:qualqt:v:48:y:2014:i:4:p:1821-1834
    DOI: 10.1007/s11135-013-9861-1
    Contact details of provider: Web page: http://www.springer.com

    Order Information: Web: http://www.springer.com/economics/journal/11135

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    1. S. Battiston & M. Catanzaro, 2004. "Statistical properties of corporate board and director networks," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 38(2), pages 345-352, 03.
    2. Garlaschelli, Diego & Battiston, Stefano & Castri, Maurizio & Servedio, Vito D.P. & Caldarelli, Guido, 2005. "The scale-free topology of market investments," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 350(2), pages 491-499.
    3. Caldarelli, Guido & Catanzaro, Michele, 2004. "The corporate boards networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 338(1), pages 98-106.
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