ICPS 2019 in Paris was last week, the European version of the US APS conference. Many researchers working on networks, time-series data, and dynamical systems were present, and I wanted to share all slides here. I have been asked to state that the slides were never intended to be used …
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 …
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 …
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 …
Two new conceptual papers were published recently that tackle the question what network theory and network models can contribute to clinical science. Together, they provide a great introductory read and cover a large number of clinically relevant topics. While many technical papers are available by now, it is good to …
