Evolution of Social networks

Tim Hellmann and Mathias Staudigl
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Mathias Staudigl: Center for Mathematical Economics, Bielefeld University

No 470, Center for Mathematical Economics Working Papers from Center for Mathematical Economics, Bielefeld University

Abstract: Modeling the evolution of networks is central to our understanding of modern large communication systems, such as theWorld-Wide-Web, as well as economic and social networks. The research on social and economic networks is truly interdisciplinary and the number of modeling strategies and concepts is enormous. In this survey we present some modeling approaches, covering classical random graph models and game-theoretic models, which may be used to provide a unified framework to model and analyze the evolution of networks.

Pages: 41
Date: 2014-04-29
New Economics Papers: this item is included in nep-evo, nep-gth, nep-hme, nep-net and nep-soc
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (26)

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https://pub.uni-bielefeld.de/download/2674027/2674032 First Version, 2012 (application/pdf)

Related works:
Journal Article: Evolution of social networks (2014)
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Persistent link: https://EconPapers.repec.org/RePEc:bie:wpaper:470

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