文献类型：期刊文献

英文题名：A comparative analysis of the statistical properties of large mobile phone calling networks

作者：Li, Ming-Xia[1,2];Jiang, Zhi-Qiang[1,2];Xie, Wen-Jie[1,2];Micciche, Salvatore[3];Tumminello, Michele[4];Zhou, Wei-Xing[1,2];Mantegna, Rosario N.[3,5,6]

机构：[1]E China Univ Sci & Technol, Sch Business, Sch Sci, Shanghai 200237, Peoples R China;[2]E China Univ Sci & Technol, Res Ctr Econophys, Shanghai 200237, Peoples R China;[3]Univ Palermo, Dipartimento Fis & Chim, I-90128 Palermo, Italy;[4]Univ Palermo, Dipartimento Sci Econ Aziendali & Stat, I-90128 Palermo, Italy;[5]Cent European Univ, Ctr Network Sci, H-1051 Budapest, Hungary;[6]Cent European Univ, Dept Econ, H-1051 Budapest, Hungary

年份：2014

卷号：4

外文期刊名：SCIENTIFIC REPORTS

收录：;WOS:【SCI-EXPANDED(收录号:WOS:000336529300004)】；

基金：This work was partially supported by the National Natural Science Foundation of China (11205057), the Humanities and Social Sciences Fund of the Ministry of Education of China (09YJCZH040), the Fok Ying Tong Education Foundation (132013), and the Fundamental Research Funds for the Central Universities.

语种：英文

摘要：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.