文献类型：期刊文献

英文题名：Skill complementarity enhances heterophily in collaboration networks

作者：Xie, Wen-Jie[1,2,3];Li, Ming-Xia[2,3];Jiang, Zhi-Qiang[1,4];Tan, Qun-Zhao[5];Podobnik, Boris[6,7,8,9,10,11];Zhou, Wei-Xing[1,3,4];Stanley, H. Eugene[6,7]

机构：[1]E China Univ Sci & Technol, Sch Business, Shanghai 200237, Peoples R China;[2]E China Univ Sci & Technol, Postdoctoral Res Stn, Shanghai 200237, Peoples R China;[3]E China Univ Sci & Technol, Dept Math, Shanghai 200237, Peoples R China;[4]E China Univ Sci & Technol, Res Ctr Econophys, Shanghai 200237, Peoples R China;[5]Shanda Games Ltd, 690 Bibo Rd, Shanghai 201203, Peoples R China;[6]Boston Univ, Ctr Polymer Studies, Boston, MA 02215 USA;[7]Boston Univ, Dept Phys, Boston, MA 02215 USA;[8]Zagreb Sch Econ & Management, Zagreb 10000, Croatia;[9]Luxembourg Sch Business, Luxembourg, Luxembourg;[10]Univ Rijeka, Fac Civil Engn, Rijeka 51000, Croatia;[11]Univ Ljubljana, Fac Econ, Ljubljana 1000, Slovenia

年份：2016

卷号：6

外文期刊名：SCIENTIFIC REPORTS

收录：;WOS:【SSCI(收录号:WOS:000368736600001)，SCI-EXPANDED(收录号:WOS:000368736600001)】；

基金：W.J.X., M.X.L., Z.Q.J. and W.X.Z. received support from the National Natural Science Foundation of China (NSFC) Grants 11505063, 11375064 and 11205057, and the Ph.D. Programs Foundation of Ministry of Education of China Grant 20120074120028. B.P. and H.E.S. received support from the Defense Threat Reduction Agency (DTRA), the Office of Naval Research (ONR), and the National Science Foundation (NSF) Grant CMMI 1125290.

语种：英文

摘要：Much empirical evidence shows that individuals usually exhibit significant homophily in social networks. We demonstrate, however, skill complementarity enhances heterophily in the formation of collaboration networks, where people prefer to forge social ties with people who have professions different from their own. We construct a model to quantify the heterophily by assuming that individuals choose collaborators to maximize utility. Using a huge database of online societies, we find evidence of heterophily in collaboration networks. The results of model calibration confirm the presence of heterophily. Both empirical analysis and model calibration show that the heterophilous feature is persistent along the evolution of online societies. Furthermore, the degree of skill complementarity is positively correlated with their production output. Our work sheds new light on the scientific research utility of virtual worlds for studying human behaviors in complex socioeconomic systems.