Empirical publications inspired by the network approach to psychopathology have increased
exponentially in the twenty-first century. The central idea that an episode of mental disorder …

Since the introduction of mental disorders as networks of causally interacting symptoms, this
novel framework has received considerable attention. The past years have resulted in over …

The applied social science literature using factor and network models continues to grow
rapidly. Most work reads like an exercise in model fitting, and falls short of theory building …

We discuss the Gaussian graphical model (GGM; an undirected network of partial
correlation coefficients) and detail its utility as an exploratory data analysis tool. The GGM …

Researchers in the field of network psychometrics often focus on the estimation of Gaussian
graphical models (GGMs)—an undirected network model of partial correlations—between …

Individual variation is increasingly recognized as important to psychopathology research.
Concurrently, new methods of analysis based on network models are bringing new …

Background Comorbidity between depressive and anxiety disorders is common. A
hypothesis of the network perspective on psychopathology is that comorbidity arises due to …

Facebook and Instagram are currently the most popular Social Network Sites (SNS) for
young adults. A large amount of research examined the relationship between these SNS …

Recent years have seen major developments in psychotherapy research that suggest the
need to address critical methodological issues. These recommendations, developed by an …

Objective: Network analysis allows us to identify the most interconnected (ie, central)
symptoms, and multiple authors have suggested that these symptoms might be important …