文献类型：期刊文献

英文题名：Communication cliques in mobile phone calling networks

作者：Li, Ming-Xia[1,2,3];Xie, Wen-Jie[3,4,5];Jiang, Zhi-Qiang[4,5];Zhou, Wei-Xing[1,4,5]

机构：[1]E China Univ Sci & Technol, Dept Math, Shanghai 200237, Peoples R China;[2]E China Univ Sci & Technol, Sch Sports Sci & Engn, Shanghai 200237, Peoples R China;[3]E China Univ Sci & Technol, Postdoctoral Res Stn, Shanghai 200237, Peoples R China;[4]E China Univ Sci & Technol, Sch Business, Shanghai 200237, Peoples R China;[5]E China Univ Sci & Technol, Res Ctr Econophys, Shanghai 200237, Peoples R China

年份：2015

外文期刊名：JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT

收录：;WOS:【SCI-EXPANDED(收录号:WOS:000366681400008)】；

基金：This work was partially supported by the National Natural Science Foundation of China (11205057), the PhD Programs Foundation of Ministry of Education of China (20120074120028), the Fok Ying Tong Education Foundation (132013), and the Humanities and Social Sciences Fund of the Ministry of Education of China (09YJCZH040).

语种：英文

外文关键词：random graphs; networks; socio-economic networks; communication; supply and information networks

摘要：People in modern societies form different social networks through numerous means of communication. These communication networks reflect different aspects of human's societal structure. The billing records of calls among mobile phone users enable us to construct a directed calling network (DCN) and its Bonferroni network (SVDCN) in which the preferential communications are statistically validated. Here we perform a comparative investigation of the cliques of the original DCN and its SVDCN constructed from the calling records of more than nine million individuals in Shanghai over a period of 110 d. We find that the statistical properties of the cliques of the two calling networks are qualitatively similar and the clique members in the DCN and the SVDCN exhibit idiosyncratic behaviors quantitatively. Members in large cliques are found to be spatially close to each other. Based on the clique degree profile of each mobile phone user, the most active users in the two calling networks can be classified into several groups. The users in different groups are found to have different calling behaviors. Our study unveils interesting communication behaviors among mobile phone users that are densely connected to each other.