Entropy of Dynamical Social Networks

Kun Zhao, Márton Karsai, Ginestra Bianconi

    Tutkimustuotos: LehtiartikkeliArticleScientificvertaisarvioitu

    29 Sitaatiot (Scopus)
    101 Lataukset (Pure)

    Abstrakti

    Human dynamical social networks encode information and are highly adaptive. To characterize the information encoded in the fast dynamics of social interactions, here we introduce the entropy of dynamical social networks. By analysing a large dataset of phone-call interactions we show evidence that the dynamical social network has an entropy that depends on the time of the day in a typical week-day. Moreover we show evidence for adaptability of human social behavior showing data on duration of phone-call interactions that significantly deviates from the statistics of duration of face-to-face interactions. This adaptability of behavior corresponds to a different information content of the dynamics of social human interactions. We quantify this information by the use of the entropy of dynamical networks on realistic models of social interactions.
    AlkuperäiskieliEnglanti
    Artikkelie28116
    Sivut1-7
    JulkaisuPloS one
    Vuosikerta6
    Numero12
    DOI - pysyväislinkit
    TilaJulkaistu - 2011
    OKM-julkaisutyyppiA1 Julkaistu artikkeli, soviteltu

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