Modeling the Dynamics of Social Networks

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dc.creatorKryssanov, Victor V.
dc.creatorRinaldo, Frank J.
dc.creatorKuleshov, Evgeny L.
dc.creatorOgawa, Hitoshi
dc.date2006-05-24
dc.date.accessioned2026-07-07T07:09:33Z
dc.date.available2026-07-07T07:09:33Z
dc.descriptionModeling 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.
dc.description8 pages, 3 figures. Preprint (as of May 24, 2006)
dc.identifierhttps://arxiv.org/abs/cs/0605101
dc.identifierhttp://arxiv.org/abs/cs/0605101
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/111108
dc.subjectComputers and Society
dc.subjectComputational Engineering, Finance, and Science
dc.subjectComputation and Language
dc.subjectHuman-Computer Interaction
dc.subjectNetworking and Internet Architecture
dc.subjectData Analysis, Statistics and Probability
dc.titleModeling the Dynamics of Social Networks
dc.typetext

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