Network analysis: an integrative approach to the structure of psychopathology.

By Denny Borsboom, A. Cramer. Annual Review of Clinical Psychology, 2013

3,622 citations recorded by the source corpus.

Subfields: Biological Psychiatry, Cognitive Neuroscience, Experimental and Cognitive Psychology

View Paper: https://www.semanticscholar.org/paper/635d176d912d7864b5046cb8e72006acb0041f01

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Citations in the corpus

Generalized Network Psychometrics: Combining Network and Latent Variable Models (2016, positive): “For example, in psychopathology research, local independence of symptoms given a person’s level of a latent mental disorder has been questioned (Borsboom and Cramer, 2013).”
Identifying Highly Influential Nodes in the Complicated Grief Network (2016, positive): “…that the strong interconnectedness of high centrality nodes may make them especially important to the etiology and treatment of mental disorders (Borsboom & Cramer, 2013; Cramer & Borsboom, 2015; Fried, Epskamp, Nesse, Tuerlinckx, & Borsboom, 2016; McNally et al., 2015; Robinaugh, LeBlanc,…”
How well do network models predict observations? On the importance of predictability in network models (2016, neutral): “…systems in a large variety of disciplines such as statistical mechanics (Albert & Barabasi, 2002), biology (Friedman, Linial, Nachman, & Pe’er, 2000), neuroscience (Huang et al., 2010), and are recently also applied in psychology (Costantini et al., 2015) and psychiatry (Borsboom & Cramer, 2013).”
Differences in the Between–Person and Within–Person Structures of Affect Are A Matter of Degree (2015, background): “The network perspective on psychological constructs (Borsboom & Cramer, 2013) has started puzzling our view on how affective experiencesmay be conceptualized.”
A Network of Dark Personality Traits: What Lies at the Heart of Darkness? (2018, background): “There has been a growing interest in using network analysis in psychopathology research to map the relations among sets of psychiatric symptoms (e.g., Borsboom & Cramer, 2013).”
Emotion Regulation Difficulties Related to Depression and Anxiety: A Network Approach to Model Relations Among Symptoms, Positive Reappraisal, and Repetitive Negative Thinking (2019, background): “According to this perspective, mental disorders do not reflect a latent common cause but arise from complex reciprocal influences between their constituting symptoms (Borsboom, 2017; Borsboom & Cramer, 2013).”
Stability and variability of personality networks. A tutorial on recent developments in network psychometrics (2017, background): “…can be also estimated from alternative sources of data, such as participants' evaluations of causal associations among objects of interest (e.g., their own symptoms; Frewen, Schmittmann, Bringmann, & Borsboom, 2013), or data extrapolated directly from diagnostic manuals (Borsboom et al., 2011).”
Stevens’ forgotten crossroads: the divergent measurement traditions in the physical and psychological sciences from the mid-twentieth century (2015, background): “…researchers have begun to heed this message by adapting complex network models from biological and ecological sciences to investigate psychological phenomena without any necessary assumption of underlying psychological quantities or measurement (Cramer et al., 2010; Borsboom and Cramer, 2013).”
What do centrality measures measure in psychological networks? (2019, background): “Recently a new kind of network has been introduced: the psychological network (Borsboom, 2008; Borsboom & Cramer, 2013; Cramer, Waldorp, van der Maas, & Borsboom, 2010).”
Mental disorders as networks of problems: a review of recent insights (2016, positive): “In statistical analyses, such skipped items are usually recoded as 0s (e.g., [10, 19, 53]), but just because someone does not endorse the core symptoms does not mean that the person cannot exhibit other MDD symptoms.”
Micro-Level Affect Dynamics in Psychopathology Viewed From Complex Dynamical System Theory (2015, positive): “Genetics and gene– environment interactions likely contribute as well in shaping the form of an individual network by influencing connection strengths (Borsboom & Cramer, 2013; Wichers, 2013).”
The Gaussian Graphical Model in Cross-Sectional and Time-Series Data (2016, background): “Often, repeated measures of one or multiple participants are modeled through the use of (multilevel) vector autoregressive (VAR) models, which estimate how well each variable predicts the measured variables at the next time point (Borsboom & Cramer, 2013).”
Interpersonal Dynamics in Personality and Personality Disorders (2018, background): “Contextualizing traits in specific environments has compelled theorists to distinguish between aspects of personality that tend to get lumped together in more abstract, crosssectional, nomothetic conceptions (Borsboom & Cramer, 2013; Geukes et al., 2018).”
Depression sum-scores don’t add up: why analyzing specific depression symptoms is essential (2015, background): “Network models estimate the relationships among symptoms within or across time [106,109,110], and offer a new perspective on why symptoms cluster.”