文献类型：期刊文献

英文题名：Assessing the relevance of individual characteristics for the structure of similarity networks in new social strata in Shanghai

作者：Wang, Luo-Qing[1];Xu, Yong-Xiang[1]

机构：[1]East China Univ Sci & Technol, Dept Social Work, Shanghai 200237, Peoples R China

年份：2018

卷号：509

起止页码：881

外文期刊名：PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS

收录：;EI(收录号：20182705403804);WOS:【SSCI(收录号:WOS:000441492100073)，SCI-EXPANDED(收录号:WOS:000441492100073)】；

语种：英文

外文关键词：Similarity networks; Node characteristics; Link formation; Null model

摘要：Node characteristics are found to be a key ingredient to shape the link formation in complex networks. In this paper, we perform a detailed investigation on the influence of different node characteristics on the structure of similarity networks, which are constructed based on a unique data set of questionnaires. The basic personal information (including the gender, experience of studying abroad, religion, and registered permanent residence in Shanghai (Shanghai Hukou)) and social positions (including intention of solving social problems, economic wealth, social reputation, and political status) provided in the questionnaires are considered as node characteristics. The similarity networks are built according to the Euclidean distances calculated based on the answer vectors to the questions on personal traits. According to the indicator Theta based on entropy measures, in 87% of tests, the links within the nodes having the same characteristics and between the nodes possessing different characteristics are not randomly connected. We further find that the node characteristics have significant effects on the preference of node in forming links within similarity networks. Our work sheds a new light on understanding the relevance of node characteristics for network structures. (C) 2018 Elsevier B.V. All rights reserved.