Evolution of social networks
Hellmann T, Staudigl M (2014)
European Journal of Operational Research 234(3): 583-596.
Zeitschriftenaufsatz
| Veröffentlicht | Englisch
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Abstract / Bemerkung
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. (C) 2013 Elsevier B.V. All rights reserved.
Stichworte
Random graphs;
Stochastic processes;
Evolution of networks;
Game theory
Erscheinungsjahr
2014
Zeitschriftentitel
European Journal of Operational Research
Band
234
Ausgabe
3
Seite(n)
583-596
ISSN
0377-2217
Page URI
https://pub.uni-bielefeld.de/record/2669197
Zitieren
Hellmann T, Staudigl M. Evolution of social networks. European Journal of Operational Research. 2014;234(3):583-596.
Hellmann, T., & Staudigl, M. (2014). Evolution of social networks. European Journal of Operational Research, 234(3), 583-596. doi:10.1016/j.ejor.2013.08.022
Hellmann, Tim, and Staudigl, Mathias. 2014. “Evolution of social networks”. European Journal of Operational Research 234 (3): 583-596.
Hellmann, T., and Staudigl, M. (2014). Evolution of social networks. European Journal of Operational Research 234, 583-596.
Hellmann, T., & Staudigl, M., 2014. Evolution of social networks. European Journal of Operational Research, 234(3), p 583-596.
T. Hellmann and M. Staudigl, “Evolution of social networks”, European Journal of Operational Research, vol. 234, 2014, pp. 583-596.
Hellmann, T., Staudigl, M.: Evolution of social networks. European Journal of Operational Research. 234, 583-596 (2014).
Hellmann, Tim, and Staudigl, Mathias. “Evolution of social networks”. European Journal of Operational Research 234.3 (2014): 583-596.
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