Journal ArticleDOI
Network Analysis: An Integrative Approach to the Structure of Psychopathology
TLDR
An examines methodologies suited to identify such symptom networks and discusses network analysis techniques that may be used to extract clinically and scientifically useful information from such networks (e.g., which symptom is most central in a person's network).Abstract:
In network approaches to psychopathology, disorders result from the causal interplay between symptoms (e.g., worry → insomnia → fatigue), possibly involving feedback loops (e.g., a person may engage in substance abuse to forget the problems that arose due to substance abuse). The present review examines methodologies suited to identify such symptom networks and discusses network analysis techniques that may be used to extract clinically and scientifically useful information from such networks (e.g., which symptom is most central in a person's network). The authors also show how network analysis techniques may be used to construct simulation models that mimic symptom dynamics. Network approaches naturally explain the limited success of traditional research strategies, which are typically based on the idea that symptoms are manifestations of some common underlying factor, while offering promising methodological alternatives. In addition, these techniques may offer possibilities to guide and evaluate therape...read more
Citations
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Proceedings ArticleDOI
Random graphs
TL;DR: Some of the major results in random graphs and some of the more challenging open problems are reviewed, including those related to the WWW.
Journal ArticleDOI
Estimating Psychological Networks and their Accuracy : A tutorial paper
TL;DR: In this article, the authors introduce the current state-of-the-art of network estimation and propose two novel statistical methods: the correlation stability coefficient and the bootstrapped difference test for edge-weights and centrality indices.
Journal ArticleDOI
A network theory of mental disorders.
TL;DR: The network theory has direct implications for how to understand diagnosis and treatment, and suggests a clear agenda for future research in psychiatry and associated disciplines.
Journal ArticleDOI
A Tutorial on Regularized Partial Correlation Networks
Sacha Epskamp,Eiko I. Fried +1 more
TL;DR: In this article, the authors describe how regularization techniques can be used to efficiently estimate a parsimonious and interpretable network structure in psychological data, and demonstrate the method in an empirical example on post-traumatic stress disorder data.
Posted Content
Estimating Psychological Networks and their Accuracy: A Tutorial Paper
TL;DR: The current state-of-the-art of network estimation is introduced and a rationale why researchers should investigate the accuracy of psychological networks is provided, and the free R-package bootnet is developed that allows for estimating psychological networks in a generalized framework in addition to the proposed bootstrap methods.
References
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Journal ArticleDOI
Diagnostic and Statistical Manual of Mental Disorders
Vijay A. Mittal,Elaine F. Walker +1 more
TL;DR: An issue concerning the criteria for tic disorders is highlighted, and how this might affect classification of dyskinesias in psychotic spectrum disorders.
Journal ArticleDOI
Collective dynamics of small-world networks
TL;DR: Simple models of networks that can be tuned through this middle ground: regular networks ‘rewired’ to introduce increasing amounts of disorder are explored, finding that these systems can be highly clustered, like regular lattices, yet have small characteristic path lengths, like random graphs.
Journal ArticleDOI
A note on two problems in connexion with graphs
TL;DR: A tree is a graph with one and only one path between every two nodes, where at least one path exists between any two nodes and the length of each branch is given.
Journal ArticleDOI
Lifetime Prevalence and Age-of-Onset Distributions of DSM-IV Disorders in the National Comorbidity Survey Replication
Ronald C. Kessler,Patricia A. Berglund,Olga Demler,Robert Jin,Kathleen R. Merikangas,Ellen E. Walters +5 more
TL;DR: Lifetime prevalence estimates are higher in recent cohorts than in earlier cohorts and have fairly stable intercohort differences across the life course that vary in substantively plausible ways among sociodemographic subgroups.