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A comparative analysis of the statistical properties of large mobile phone calling networks.
Li, Ming-Xia; Jiang, Zhi-Qiang; Xie, Wen-Jie; Miccichè, Salvatore; Tumminello, Michele; Zhou, Wei-Xing; Mantegna, Rosario N.
Afiliação
  • Li MX; School of Business, School of Science, and Research Center for Econophysics, East China University of Science and Technology, Shanghai 200237, China.
  • Jiang ZQ; School of Business, School of Science, and Research Center for Econophysics, East China University of Science and Technology, Shanghai 200237, China.
  • Xie WJ; School of Business, School of Science, and Research Center for Econophysics, East China University of Science and Technology, Shanghai 200237, China.
  • Miccichè S; Dipartimento di Fisica e Chimica, Università degli Studi di Palermo, Viale delle Scienze, Edificio 18, I-90128 Palermo, Italia.
  • Tumminello M; Dipartimento di Scienze Economiche, Aziendali e Statistiche, Università degli Studi di Palermo, Viale delle Scienze, Edificio 13, I-90128 Palermo, Italia.
  • Zhou WX; School of Business, School of Science, and Research Center for Econophysics, East China University of Science and Technology, Shanghai 200237, China.
  • Mantegna RN; 1] Dipartimento di Fisica e Chimica, Università degli Studi di Palermo, Viale delle Scienze, Edificio 18, I-90128 Palermo, Italia [2] Center for Network Science and Department of Economics, Central European University, Nador utca 9, H-1051 Budapest, Hungary.
Sci Rep ; 4: 5132, 2014 May 30.
Article em En | MEDLINE | ID: mdl-24875444
Mobile phone calling is one of the most widely used communication methods in modern society. The records of calls among mobile phone users provide us a valuable proxy for the understanding of human communication patterns embedded in social networks. Mobile phone users call each other forming a directed calling network. If only reciprocal calls are considered, we obtain an undirected mutual calling network. The preferential communication behavior between two connected users can be statistically tested and it results in two Bonferroni networks with statistically validated edges. We perform a comparative analysis of the statistical properties of these four networks, which are constructed from the calling records of more than nine million individuals in Shanghai over a period of 110 days. We find that these networks share many common structural properties and also exhibit idiosyncratic features when compared with previously studied large mobile calling networks. The empirical findings provide us an intriguing picture of a representative large social network that might shed new lights on the modelling of large social networks.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Redes de Comunicação de Computadores / Modelos Estatísticos / Armazenamento e Recuperação da Informação / Telefone Celular / Rede Social Tipo de estudo: Evaluation_studies / Prognostic_studies / Risk_factors_studies País como assunto: Asia Idioma: En Ano de publicação: 2014 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Redes de Comunicação de Computadores / Modelos Estatísticos / Armazenamento e Recuperação da Informação / Telefone Celular / Rede Social Tipo de estudo: Evaluation_studies / Prognostic_studies / Risk_factors_studies País como assunto: Asia Idioma: En Ano de publicação: 2014 Tipo de documento: Article