R tutorial: clique percolation to detect communities in networks

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In two previous blog posts, we identified a fundamental challenge to community detection in psychometric network analysis: Commonly used algorithms assign each node to one particular community. One of these blog posts was an R tutorial I wrote, the other a guest blog by Tessa Blanken and Marie Deserno on …

Network models of factor scores: mixing apples with oranges

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We recently had a new paper accepted, for which we estimated networks of the 7 subscales of the Contingencies of Self-Worth Scale. The paper was written by Giovanni Briganti uses open data of 670 participants. I conducted some sensitivity and robustness analyses for the paper, and became interested in all …

How to interpret centrality values in network structures (not)

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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

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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 cannot be differentiated from zero”. This is incorrect in case of regularized partial correlation networks, and I thought I would write this …

Estimating psychological networks via Information Filtering Networks

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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 …

Does network connectivity predict future depression? Non-replication paper published

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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 …

Tutorial: how to review psychopathology network papers

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The network literature on psychopathology is exploding, which means there are many reviews to be performed. While each paper is different, some common themes have emerged, and because I have been asked on which aspects I focus my reviews and what my current main concerns are, here is a brief …

R tutorial: how to identify communities of items in networks

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A problem we see in psychological network papers is that authors sometimes over-interpret the visualization of their data. This pertains especially to the layout and node placement of the graph, for instance: do nodes in the networks cluster in certain communities. Below I will discuss this problem in some detail, …