文献类型：期刊文献

英文题名：Network analysis of the worldwide footballer transfer market

作者：Li, Ming-Xia[1,2];Zhou, Wei-Xing[2,3,4];Stanley, H. Eugene[5,6]

机构：[1]East China Univ Sci & Technol, Res Inst Sports Econ, Shanghai 200237, Peoples R China;[2]East China Univ Sci & Technol, Res Ctr Econophys, Shanghai 200237, Peoples R China;[3]East China Univ Sci & Technol, Dept Finance, Shanghai 200237, Peoples R China;[4]East China Univ Sci & Technol, Dept Math, Shanghai 200237, Peoples R China;[5]Boston Univ, Ctr Polymer Studies, Boston, MA 02215 USA;[6]Boston Univ, Dept Phys, 590 Commonwealth Ave, Boston, MA 02215 USA

年份：2019

卷号：125

期号：1

外文期刊名：EPL

收录：;WOS:【SSCI(收录号:WOS:000457530600002)，SCI-EXPANDED(收录号:WOS:000457530600002)】；

基金：This work was supported by the National Natural Science Foundation of China (11605062), the National Social Science Foundation of China (17AZD042) and the Fundamental Research Funds for the Central Universities (222201818006, 222201822009, 222201825010).

语种：英文

摘要：The transfer of football players is an important part in football games. Most studies on the transfer of football players focus on the transfer system and transfer fees but not on the transfer behavior itself. Based on the 470792 transfer records from 1990 to 2016 among 2:3765 football clubs in 206 countries and regions, we construct a directed footballer transfer network (FTN), where the nodes are the football clubs and the links correspond to the footballer transfers. A systemic analysis is conduced on the topological properties of the FTN. We find that the in-degrees, out-degrees, in-strengths and out-strengths of nodes follow bimodal distributions (a power law with exponential decay), while the distribution of link weights has a power-law tail. We further figure out the correlations between node degrees, node strengths and link weights. We also investigate the general characteristics of different measures of network centrality. Our network analysis of the global footballer transfer market sheds new lights into the investigation of the characteristics of transfer activities. Copyright (C) EPLA, 2019