文献类型：期刊文献

英文题名：Individual position diversity in dependence socioeconomic network 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] School of Business, East China University of Science and Technology, Shanghai, 200237, China; [2] Research Center for Econophysics, East China University of Science and Technology, Shanghai, 200237, China; [3] Research Institute of Sports Economics, East China University of Science and Technology, Shanghai, 200237, China; [4] Departmenent of Mathematics, East China University of Science and Technology, Shanghai, 200237, China

年份：2017

外文期刊名：arXiv

收录：EI(收录号：20200077870)

语种：英文

外文关键词：Economics - Interactive computer graphics

摘要：The availability of big data recorded from massively multiplayer online role-playing game (MMORPG) allows us to gain a deeper understanding 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 dependence 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 social system. Copyright ? 2017, The Authors. All rights reserved.