Fixed-margin sampling & networks: New commentary on network replicability

This guest blog post was written by Sacha Epskamp, Assistant Professor at the University of Amsterdam. It does not necessarily reflect the opinions of other authors on the paper introduced below.   The methodological journal Multivariate Behavioral Research just published our latest contribution to the debate surrounding the replicability of …

(Mis)interpreting Networks: An Abbreviated Tutorial on Visualizations

This guest post was written by Payton Jones (payton_jones@g.harvard.edu), and is the abbreviated version of a tutorial published in Frontiers recently (“Visualizing Psychological Networks: A Tutorial in R“). Payton is a graduate student at Harvard University in the Richard J. McNally lab. His research focuses on the etiology of mental …

How to interpret centrality values in network structures (not)

For posts on psych-networks, I usually want to write about a topic for a few months, don’t find the time, and then a new paper comes along that prompts me to write up what I had in mind. For instance: A paper by Madhoo & Levin 2016 prompted me to …

Bootstrapping edges after regularization: clarifications & tutorial

I have read the following statement numerous times in the last months: “If the 95% boostrapped CI of an edge weight in a network contains zero, the edge is likely not different from zero”. This is incorrect in case of regularized partial correlation networks, and I thought I would write …

APS 2018: Collection of all network presentations

APS 2018 — the conference of the Association for Psychological Science in San Francisco, May 2018 — featured many talks on the topics complex systems, time-series models, network models, and modeling intensive longitudinal data assessed via experience sampling. I promised to collect all slides I could hunt down, and want …

New paper on the role of stabilizing and communicating symptoms

This guest post was written by Tessa F. Blanken and Marie K. Deserno who are both PhD-students associated with the Psychosystems Lab at the University of Amsterdam. They secretly meet up every Friday to vividly discuss potential extensions of the network analysis toolbox. This post summarizes a new paper available …

Estimating psychological networks via Information Filtering Networks

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 …

FAQ on network stability, part II: Why is my network unstable?

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 …

Collection of PTSD network papers & recent conference talks

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 …

7 new papers on network replicability

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 …