Modeling the Dynamics of Social Networks

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Modeling human dynamics responsible for the formation and evolution of the so-called social networks - structures comprised of individuals or organizations and indicating connectivities existing in a community - is a topic recently attracting a significant research interest. It has been claimed that these dynamics are scale-free in many practically important cases, such as impersonal and personal communication, auctioning in a market, accessing sites on the WWW, etc., and that human response times thus conform to the power law. While a certain amount of progress has recently been achieved in predicting the general response rate of a human population, existing formal theories of human behavior can hardly be found satisfactory to accommodate and comprehensively explain the scaling observed in social networks. In the presented study, a novel system-theoretic modeling approach is proposed and successfully applied to determine important characteristics of a communication network and to analyze consumer behavior on the WWW.
8 pages, 3 figures. Preprint (as of May 24, 2006)

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Computers and Society, Computational Engineering, Finance, and Science, Computation and Language, Human-Computer Interaction, Networking and Internet Architecture, Data Analysis, Statistics and Probability

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http://salesiana.dossiersoluciones.com/handle/123456789/111108

Consulte el texto completo en el siguiente enlace:

https://arxiv.org/abs/cs/0605101
 http://arxiv.org/abs/cs/0605101

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arXiv