文献类型：期刊文献

英文题名：Statistical properties of the mutual transfer network among global football clubs

作者：Li, Ming-Xia[1,2];Xiao, Qiao-Li[1];Wang, Yue[1];Zhou, Wei-Xing[2,3]

机构：[1]East China Univ Sci & Technol, Res Inst Sports Econ, 130 Meilong Rd, Shanghai 200237, Peoples R China;[2]East China Univ Sci & Technol, Res Ctr Econophys, 130 Meilong Rd, Shanghai 200237, Peoples R China;[3]East China Univ Sci & Technol, Dept Math, Dept Finance, 130 Meilong Rd, Shanghai 200237, Peoples R China

年份：2018

卷号：32

期号：29

外文期刊名：INTERNATIONAL JOURNAL OF MODERN PHYSICS B

收录：;WOS:【SSCI(收录号:WOS:000451225000003)，SCI-EXPANDED(收录号:WOS:000451225000003)】；

基金：This work was partially supported by the National Natural Science Foundation of China (No. 11605062), the National Social Science Foundation of China (No. 17AZD042), and the Fundamental Research Funds for the Central Universities (Nos. 222201818006, 222201822009 and 222201825010).

语种：英文

外文关键词：Sociophysics; footballer transfer; transfer network; sport economics

摘要：Football is the most popular sport in the world, and one of the most interesting events is the transferring of football players among various clubs. Based on 470,792 transfer records among 23,605 football clubs in 206 countries and regions, we construct a mutual transfer network and investigate its basic topological characteristics related to node degree k, edge weight w and node strength s. We find that the distributions can be well fitted by bimodal distributions for k and s or a power-law tail distribution for w. By studying the features of neighbor nodes or edges, we find that the mutual transfer network exhibits assortative mixing for most nodes or clubs but disassortative for clubs with very large degrees. We also observe nonlinear correlations among the different types of measures. Our work sheds new lights into the investigation of the characteristics of football transfer activities.