Category: New papers

News and updates regarding new methodological and applied network papers in psychology.

New papers, Tutorials

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 …

Guest post, New papers

New paper on the role of stabilizing and communicating symptoms

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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 …

New papers, Tutorials

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 …

Depressive disorders, New papers

7 new papers on network replicability

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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 …

New papers, Tutorials

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 …

New papers

Network models do not replicate … not.

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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 …

Guest post, New papers

Two new papers on predictability of symptom networks

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This guest post was written by Jonas Haslbeck (jonas.haslbeck@gmail.com) who is a PhD student in the Psychosystems lab at the University of Amsterdam. Symptom networks have become popular in clinical psychology because they promise to provide insights into the topology and dynamics of mental disorders. Most analyses so far focused …

Guest post, New papers

Tutorial paper on new methods for estimating psychological networks

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This guest post was written by Giulio Costantini (costantinigiulio@gmail.com) who recently finished his PhD at the University of Milan Bicocca. His blog describes a new tutorial paper that was just published in Personality and Individual Differences (PDF), and follows his earlier 2015 tutorial paper on estimating psychological networks. In a …

New papers

The network approach to psychopathology: pitfalls, challenges, and future directions

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After Angelique Cramer and colleagues published the first paper on empirical networks for psychopathology in 2010, a few years of great enthusiasm followed, and psychological network science felt a bit like the Wild West: Everything was possible, and it was difficult to find qualified reviewers due to the novelty of …

New papers

Network replicability: a cross-cultural PTSD study across of clinical datasets

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Let’s start with a teaser: This blog post is a summary of the first psychological network study ever looking at the replicability of network models in 4 datasets, with a total N of 2,782 (Preprint). The paper is fully reproducible, and includes the covariance matrices of the four datasets so …