Modeling the Dynamics of Social Networks
<|reference_start|>Modeling the Dynamics of Social Networks: 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.<|reference_end|>
@article{kryssanov2006modeling,
    title={Modeling the Dynamics of Social Networks},
    author={Victor V. Kryssanov, Frank J. Rinaldo, Evgeny L. Kuleshov, Hitoshi
  Ogawa},
    journal={arXiv preprint arXiv:cs/0605101},
    year={2006},
    archivePrefix={arXiv},
    eprint={cs/0605101},
    primaryClass={cs.CY cs.CE cs.CL cs.HC cs.NI physics.data-an}
}