文献类型：期刊文献

英文题名：Individual position diversity in dependence socioeconomic networks increases economic output

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

机构：[1]East China Univ Sci & Technol, Sch Business, Meilong Rd, Shanghai 200237, Peoples R China;[2]East China Univ Sci & Technol, Res Ctr Econophys, Meilong Rd, Shanghai, Peoples R China;[3]East China Univ Sci & Technol, Res Inst Sports Econ, Meilong Rd, Shanghai, Peoples R China;[4]East China Univ Sci & Technol, Dept Math, Meilong Rd, Shanghai, Peoples R China

年份：2017

卷号：6

期号：1

外文期刊名：EPJ DATA SCIENCE

收录：;EI(收录号：20172503800560);WOS:【SSCI(收录号:WOS:000403613700001)，SCI-EXPANDED(收录号:WOS:000403613700001)】；

基金：This work was supported by the National Natural Science Foundation of China [11505063, 11375064 and 11605062]; the Shanghai Chenguang Program [15CG29]; the Ph.D. Programs Foundation of Ministry of Education of China [20120074120028]; the China Postdoctoral Science Foundation [2016M600291] and the Fundamental Research Funds for the Central Universities [222201718006].

语种：英文

外文关键词：position diversity; socioeconomic network; network motif; economic output

摘要：The availability of big data recorded from massively multiplayer online role-playing games (MMORPGs) allows us to gain a deeper understanding of the potential connection between individuals' network positions and their economic outputs. We use a statistical filtering method to construct dependence networks from weighted friendship networks of individuals. We investigate the 30 distinct motif positions in the 13 directed triadic motifs which represent microscopic dependences among individuals. Based on the structural similarity of motif positions, we further classify individuals into different groups. The node position diversity of individuals is found to be positively correlated with their economic outputs. We also find that the economic outputs of leaf nodes are significantly lower than that of the other nodes in the same motif. Our findings shed light on understanding the influence of network structure on economic activities and outputs in socioeconomic systems.