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Networks have emerged as a popular method for studying mental disorders. Psychopathology networks consist of aspects of mental disorders (nodes) and the connections between those aspects (edges). . Unfortunately, the visual presentation of networks can occasionally be misleading. For instance, researchers may be tempted to conclude that nodes which are close together are highly related, and nodes that are far apart are not. In the dominant plotting approach, the Fruchterman-Reingold algorithm, this is not the case. There exist many other methods for plotting networks which may be more appropriate and readily interpretable. We provide a brief tutorial on several methods including multidimensional scaling, principal components plotting, and eigenmodel networks. These methods may be especially appropriate for those who wish to visually compare replications of network analyses.
Keywords: network analysis, network psychometrics, psychopathology, multidimensional scaling, graph theory
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