Public dataset with 1478 timepoints over 239 consecutive days

A new paper entitled “Data from ‘Critical Slowing Down as a Personalized Early Warning Signal for Depression’” was published by Jolanda Kossakowski and colleagues yesterday. The paper was published in the new Journal of Open Psychology Data that you may want to keep an eye on. They publish datasets, which …

Six new network papers, including a review of the empirical literature

The last weeks have been pretty busy with teaching, traveling, and writing that I didn’t find the time I wanted to for blogging. To catch up, this blog post will feature several new network papers (in alphabetical order by first author). It is becoming increasingly hard to keep up with …

Expected influence: a new centrality metric by Robinaugh et al. 2016

When we estimate the centrality of nodes in networks, one metric that is commonly used is node strength centrality or degree centrality. In unweighted networks were edges are either 0 or 1, this is simply the sum of edges. Let’s create a brief example in R: we create an adjacency …

Bringmann’s dissertation on dynamical networks in psychology

You’ve probably heard about Laura Bringmann: among other things, she developed the multilevel extension of the vector autoregressive network model many of us are using today, and was the first to apply it to psychopathological data (e.g., 1, 2). Laura defended her PhD “Dynamical networks in psychology: More than a …

Comorbidity network of depression & anxiety symptoms: Beard et al. 2016

A new network paper by Beard et al. entitled “Network Analysis of Depression and Anxiety Symptom Relations in a Psychiatric Sample” will appear soon in Psychological Medicine. I tend to think of the paper as a state-of-the-art replication of the great comorbidity paper by Cramer et al. 2010 who investigated …