In recent years, network analysis has been applied to identify and analyse patterns of
statistical association in multivariate psychological data. In these approaches, network …

The usage of psychological networks that conceptualize behavior as a complex interplay of
psychological and other components has gained increasing popularity in various research …

Recent years have seen an emergence of network modeling applied to moods, attitudes,
and problems in the realm of psychology. In this framework, psychological variables are …

Centrality indices are a popular tool to analyze structural aspects of psychological networks.
As centrality indices were originally developed in the context of social networks, it is unclear …

Recently, researchers in clinical psychology have endeavored to create network models of
the relationships between symptoms, both within and across mental disorders. Symptoms …

In network approaches to psychopathology, disorders result from the causal interplay
between symptoms (eg, worry→ insomnia→ fatigue), possibly involving feedback loops (eg …

We present the qgraph package for R, which provides an interface to visualize data through
network modeling techniques. For instance, a correlation matrix can be represented as a …

Real networks exhibit heterogeneous nature with nodes playing far different roles in
structure and function. To identify vital nodes is thus very significant, allowing us to control …

Network approaches to psychometric constructs, in which constructs are modeled in terms of
interactions between their constituent factors, have rapidly gained popularity in psychology …

Purpose The network perspective on psychopathology understands mental disorders as
complex networks of interacting symptoms. Despite its recent debut, with conceptual …