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

Understanding patterns of symptom co-occurrence is one of the most difficult challenges in
psychopathology research. Do symptoms co-occur because of a latent factor, or might they …

BackgroundNetwork analyses on psychopathological data focus on the network structure
and its derivatives such as node centrality. One conclusion one can draw from centrality …

Network analysis is quickly gaining popularity in psychopathology research as a method that
aims to reveal causal relationships among individual symptoms. To date, 4 main types of …

Galvanized with the availability of sophisticated statistical techniques and large datasets,
network medicine has emerged as an active area of investigation. Following this trend …

The network approach to psychopathology has recently generated enthusiasm in the
research community. This is likely due in large part to network methods being promoted with …

Pairwise Markov random field networks—including Gaussian graphical models (GGMs) and
Ising models—have become the “state-of-the-art” method for psychopathology network …

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 …

Abstract Forbes, Wright, Markon, and Krueger (2017) stated that “psychopathology networks
have limited replicability”(p. 1011) and that “popular network analysis methods produce …

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 …