Are there any papers about how to biologically interpret differences in network properties? For example, if you generate gene co-expression networks from RNA-seq data for different experimental groups (one network per group) and do network-level analyses (e.g., compare distributions of degree, shortest path length, clustering coefficient, topological coefficient, stress centrality, betweenness centrality), how could you interpret these differences biologically?
This paper was useful for the kinds of analyses that can be done but not so much for the interpretation: https://www.nature.com/articles/nprot.2012.004.pdf