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Social interactions model and adaptability of human behavior

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ORIGINAL RESEARCH ARTICLE published: 20 December 2011 doi: 10.3389/fphys.2011.00101 Social interactions model and adaptability of human behavior Kun Zhao and Ginestra Bianconi * Department of Physics, Northeastern University, Boston, MA, USA Edited by: Bruce J. West, U.S. Army Research Office, USA Reviewed by: Bruce J. West, U.S. Army Research Office, USA Paolo Grigolini, University of North Texas, USA *Correspondence: Ginestra Bianconi , Department of Physics, Northeastern University, Boston, MA 02115, USA. e-mail: g.bianconi@neu.edu Human social networks evolve on the fast timescale of face-to-face interactions and of interactions mediated by technology such as a telephone calls or video conferences. The resulting networks have a strong dynamical component that changes significantly the properties of dynamical processes. In this paper we study a general model of pairwise human social interaction intended to model both face-to-face interactions and mobile-phone communication. We study the distribution of durations of social interactions in within the model. This distribution in one limit is a power-law, for other values of the parameters of the model this distribution is given by a Weibull function. Therefore the model can be used to model both face-to-face interactions data, where the distribution of duration has been shown to be fat-tailed, and mobile-phone communication data where the distribution of duration is given by a Weibull distribution.The highly adaptable s ...
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