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, and provide a basic R-tutorial on how to identify communities of items in networks. You can find the data and syntax I use for this tutorial here — feedback is very welcome in the comments section below. Let’s create an example so we can see what the challenge is.