Social network evolution based on agent centrality

Claudio J. Tessone, Michael König, Yves Zenou

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review


We consider a general stochastic model of social network formation and evolution. In this model, agents form and sever links basing their decisions on the centrality of their potential partners. We consider different types of centrality measures and show that they can be unified in our model. We show how the emergence of hierarchies depends on the volatility of the environment and that there exists a sharp transition from strongly centralized to decentralized networks. Finally, we solve the time evolution of the model and show that the stationary networks exhibit topological properties that qualitatively match with features of social and economic networks.

Original languageEnglish
Title of host publicationConference Proceedings - 6th Conference of the European Social Simulation Association, ESSA 2009
PublisherThe European Social Simulation Association (ESSA)
ISBN (Electronic)1844690172
Publication statusPublished - 2009
EventConference of the European-Social-Simulation-Association (ESSA) 2009 - Guildford, United Kingdom
Duration: 14 Sept 200918 Sept 2009
Conference number: 6th


ConferenceConference of the European-Social-Simulation-Association (ESSA) 2009
Abbreviated titleESSA 2009
Country/TerritoryUnited Kingdom

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