Interactive effects of social network centrality and social identification on stress

被引:6
|
作者
Mojzisch, Andreas [1 ]
Frisch, Johanna Ute [1 ]
Doehne, Malte [2 ]
Reder, Maren [1 ]
Haeusser, Jan Alexander [3 ]
机构
[1] Univ Hildesheim, Univ Pl 1, D-31141 Hildesheim, Germany
[2] Univ Zurich, Zurich, Switzerland
[3] Justus Liebig Univ Giessen, Giessen, Germany
关键词
COMMUNICATION-NETWORK; IDENTITY; HEALTH; PERSONALITY; INTERPLAY; SUPPORT;
D O I
10.1111/bjop.12447
中图分类号
B84 [心理学];
学科分类号
04 ; 0402 ;
摘要
The present study aimed to integrate the social identity approach to health and well-being with social network analysis. Previous research on the effects of social network centrality on stress has yielded mixed results. Building on the social identity approach, we argued that these mixed results can be explained, in part, by taking into account the degree to which individuals identify with the social network. We hence hypothesized that the effects of social network centrality on stress are moderated by social identification. Using a full roster method, we assessed the social network of first-year psychology students right after the start of their study programme and three months later. The effects of network centrality (betweenness, closeness, eigenvector centrality) and social identification on stress were examined using structural equation models. As predicted, our results revealed a significant interaction between network centrality and social identification on stress: For weakly or moderately identified students, network centrality was positively related to stress. By contrast, for strongly identified students, network centrality was unrelated to stress. In conclusion, our results point to the perils of being well-connected yet not feeling like one belongs to a group.
引用
收藏
页码:144 / 162
页数:19
相关论文
共 50 条
  • [1] Degree Centrality, Betweenness Centrality, and Closeness Centrality in Social Network
    Zhang, Junlong
    Luo, Yu
    [J]. PROCEEDINGS OF THE 2017 2ND INTERNATIONAL CONFERENCE ON MODELLING, SIMULATION AND APPLIED MATHEMATICS (MSAM2017), 2017, 132 : 300 - 303
  • [2] The Contingent Effects of Social Network Sparseness and Centrality on Managerial Innovativeness
    Wong, Sze-Sze
    Boh, Wai Fong
    [J]. JOURNAL OF MANAGEMENT STUDIES, 2014, 51 (07) : 1180 - 1203
  • [3] Identification and Implementation of Network Science Models for Centrality Measure using Social Network Analysis
    Kasera, Megha
    Johari, Rahul
    [J]. PROCEEDINGS OF THE CONFLUENCE 2020: 10TH INTERNATIONAL CONFERENCE ON CLOUD COMPUTING, DATA SCIENCE & ENGINEERING, 2020, : 433 - 439
  • [4] Examination of Centrality in a Health Social Network
    Alasan, Semiha N.
    Sayin, Kamran E.
    Aydin, Mehmet N.
    [J]. E-HEALTH - FOR CONTINUITY OF CARE, 2014, 205 : 553 - 557
  • [5] Two-dimensional centrality of a social network
    Okada, Akinori
    [J]. DATA ANALYSIS, MACHINE LEARNING AND APPLICATIONS, 2008, : 381 - 388
  • [7] VISUALIZATION AND CENTRALITY MEASUREMENT OF SOCIAL NETWORK ANALYSIS
    Rahim, Nor Amalina Abdul
    Sulaiman, Sarina
    Hashim, Siti Zaiton Mohd
    Ahmad, Nor Bahiah
    [J]. JURNAL TEKNOLOGI, 2016, 78 (8-2): : 65 - 74
  • [8] CEO network centrality and corporate social responsibility
    Bouchet, Adrien
    Song, Xuehu
    Sun, Li
    [J]. SOCIAL RESPONSIBILITY JOURNAL, 2022, 18 (01) : 106 - 127
  • [9] Degree Centrality for Social Network with Opsahl Method
    Yustiawan, Yoga
    Maharani, Warih
    Gozali, Alfian Akbar
    [J]. INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND COMPUTATIONAL INTELLIGENCE (ICCSCI 2015), 2015, 59 : 419 - 426
  • [10] Correlation and Stability Study of Centrality in Social Network
    Tong Jingwen
    Luo Jiangtao
    [J]. PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON CHEMICAL, MATERIAL AND FOOD ENGINEERING, 2015, 22 : 664 - 667