Does centrality in a cross-sectional network suggest intervention targets for social anxiety disorder?

Volume: 86, Issue: 10, Pages: 831 - 844
Published: Oct 1, 2018
Abstract
Objective: Network analysis allows us to identify the most interconnected (i.e., central) symptoms, and multiple authors have suggested that these symptoms might be important treatment targets. This is because change in central symptoms (relative to others) should have greater impact on change in all other symptoms. It has been argued that networks derived from cross-sectional data may help identify such important symptoms. We tested this...
Paper Details
Title
Does centrality in a cross-sectional network suggest intervention targets for social anxiety disorder?
Published Date
Oct 1, 2018
Volume
86
Issue
10
Pages
831 - 844
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