TL;DR: This blog post summarizes and discusses Information Filtering Networks introduced in a new paper by Christensen et al. 2018, and discusses them compared to the lasso-regularized Markov Random Fields. The post ends with an R tutorial on how to estimate such networks. Markov Random Fields (MRF) have quickly become …
In a previous tutorial blog post, I summarized the bootstrapping routine developed by Sacha Epskamp and me that we recommend for testing the stability / accuracy / precision of estimated network models and parameters. This matters a great deal and should be considered a standard step in every empirical network …
This guest post was written by Tobias Spiller (tobias.r.spiller@gmail.com) who recently finished Medical School at the University of Zurich. Tobias has published a paper using network analysis with a refugee sample and currently works on several other network analytic projects. Last year, 15 articles using network analytic methods in PTSD/psychotraumatology …
Since replication, replicability, and generalizability have become such important topics in the field of network psychometrics — arguably the topic of the year 2017 — I want to highlight seven new papers that came out in the last weeks on the topic. 7 papers on replicability Fried et al. 2017 …
Lizanne Schweren, a Postdoc at the University Medical Center Groningen, and colleagues published a paper in JAMA Psychiatry this morning showing that the connectivity of depression symptoms is, in contrast to what a prior paper found, not a predictor of treatment response. This is the first non-replication in the psychopathology …
When I see limitations in published network papers that I find sufficiently relevant to address, I discuss the papers here, and try to provide ways forward. For instance, Madhoo & Levine (2016) drew inferences from visually inspecting their networks, which inspired me to write a tutorial blog post on the …
In the last months, a number of free resources for network analysis appeared online which I wanted to summarize briefly. Sacha Epskamp and Adela Isvoranu organized the 5-day Psychological Networks Amsterdam Summer, with presentations from over 10 researchers. All resources are available online. I gave several 2-day workshops this year, …
This guest post was written by Payton Jones (payton_jones@g.harvard.edu) and Haley Elliott (haleyelliott@college.harvard.edu), and is based on a recent letter in which they highlight the importance of non-symptom variables in psychological networks. Payton is a graduate student at Harvard University in the Richard J. McNally lab. His research focuses on …
I was visiting University of Groningen a few days ago for an interdisciplinary meeting about the gap between clinical practice and methodology, and ran into Dr Laura Bringmann who I know well from our time together at University of Leuven. Since Laura and colleagues (i.e. Casper Albers, Jojanneke Bastiaansen, and …
This guest post was written by Sacha Epskamp (sacha.epskamp@gmail.com) who recently finished his PhD on Network Psychometrics at the University of Amsterdam. Sacha is well known for his various contributions to the development and application of network models, and for his numerous R-packages such as qgraph. As rain and students …
