Abstract
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.
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Kryssanov, V.V., Rinaldo, F.J., Kuleshov, E.L., Ogawa, H. (2008). Modeling the Dynamics of Social Networks. In: Filipe, J., Obaidat, M.S. (eds) E-Business and Telecommunication Networks. ICETE 2006. Communications in Computer and Information Science, vol 9. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-70760-8_4
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DOI: https://doi.org/10.1007/978-3-540-70760-8_4
Publisher Name: Springer, Berlin, Heidelberg
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