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What do centralitymeasures measure inpsychologicalnetworks? Laura F. BringmannTimon ElmerSacha Epskamp2019 год

What do centrality measures measure in psychological networks?
review

Полный текстСтраница публикацииПубликация в OpenAlex
Аннотация: Centrality indices are a popular tool to analyze structural aspects of psychological networks. As centrality indices were originally developed in the context of social networks, it is unclear to what extent these indices are suitable in a psychological network context. In this article we critically examine several issues with the use of the most popular centrality indices in psychological networks: degree, betweenness, and closeness centrality. We show that problems with centrality indices discussed in the social network literature also apply to the psychological networks. Assumptions underlying centrality indices, such as presence of a flow and shortest paths, may not correspond with a general theory of how psychological variables relate to one another. Furthermore, the assumptions of node distinctiveness and node exchangeability may not hold in psychological networks. We conclude that, for psychological networks, betweenness and closeness centrality seem especially unsuitable as measures of node importance. We therefore suggest three ways forward: (a) using centrality measures that are tailored to the psychological network context, (b) reconsidering existing measures of importance used in statistical models underlying psychological networks, and (c) discarding the concept of node centrality entirely. Foremost, we argue that one has to make explicit what one means when one states that a node is central, and what assumptions the centrality measure of choice entails, to make sure that there is a match between the process under study and the centrality measure that is used. (PsycINFO Database Record (c) 2019 APA, all rights reserved).
Год издания: 2019
Авторы: Laura F. Bringmann, Timon Elmer, Sacha Epskamp, Robert W. Krause, David Schoch, Marieke Wichers, Johanna T. W. Wigman, Evelien Snippe
Издательство: American Psychological Association
Источник: Journal of Abnormal Psychology
Ключевые слова: Mental Health Research Topics, Functional Brain Connectivity Studies, Complex Network Analysis Techniques
Другие ссылки: Journal of Abnormal Psychology (HTML)
Repository for Publications and Research Data (ETH Zurich) (PDF)
Repository for Publications and Research Data (ETH Zurich) (HTML)
Research Explorer (The University of Manchester) (PDF)
Research Explorer (The University of Manchester) (HTML)
Data Archiving and Networked Services (DANS) (PDF)
Data Archiving and Networked Services (DANS) (HTML)
University of Groningen research database (University of Groningen / Centre for Information Technology) (HTML)
Research Explorer (The University of Manchester) (HTML)
PubMed (HTML)