Evolution of social networks
Evolution of social networks
Modeling the evolution of networks is central to our understanding of large communication systems, and more general, modern economic and social systems. The research on social and economic networks is truly interdisciplinary and the number of proposed models is huge. In this survey we discuss a small selection of modeling approaches, covering classical random graph models, and game-theoretic models to analyze the evolution of social networks. Based on these two basic modeling paradigms, we introduce co-evolutionary models of networks and play as a potential synthesis.
Evolution of networks, Game theory, Stochastic processes, Random graphs
583-596
Hellmann, Tim
e03b4edd-3010-4f6d-831e-86e4b3d6cbe0
Staudigl, Mathias
4556db35-f650-4b0d-b933-39c116a5933a
1 May 2014
Hellmann, Tim
e03b4edd-3010-4f6d-831e-86e4b3d6cbe0
Staudigl, Mathias
4556db35-f650-4b0d-b933-39c116a5933a
Hellmann, Tim and Staudigl, Mathias
(2014)
Evolution of social networks.
European Journal of Operational Research, 234 (3), .
(doi:10.1016/j.ejor.2013.08.022).
Abstract
Modeling the evolution of networks is central to our understanding of large communication systems, and more general, modern economic and social systems. The research on social and economic networks is truly interdisciplinary and the number of proposed models is huge. In this survey we discuss a small selection of modeling approaches, covering classical random graph models, and game-theoretic models to analyze the evolution of social networks. Based on these two basic modeling paradigms, we introduce co-evolutionary models of networks and play as a potential synthesis.
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e-pub ahead of print date: 30 August 2013
Published date: 1 May 2014
Keywords:
Evolution of networks, Game theory, Stochastic processes, Random graphs
Identifiers
Local EPrints ID: 436105
URI: http://eprints.soton.ac.uk/id/eprint/436105
ISSN: 0377-2217
PURE UUID: 9a2005e3-b5d5-4885-82e1-3bb6561013da
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Date deposited: 27 Nov 2019 17:30
Last modified: 16 Mar 2024 04:54
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Author:
Mathias Staudigl
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