Statistical Network Models

Recently I had the pleasure to hang out with Matt Silk from the University of Exeter: https://biosciences.exeter.ac.uk/staff/index.php?web_id=Matthew_Silk

It was great chatting about badgers, puma and network models over a few beers. His work summarizing statistical network models in Methods in Ecology and Evolution is particularly useful (see below).

After reading this you’ll know what ERGMS, TERGMs, REMs & SAOMs are and how they can answer network/disease questions. The only potentially useful addition I can see is generalized dissimilarity models (GDMs)  as a robust way to test for covariate effects on network structure (as I did in my JAE 2017 paper). Anyway,  this paper is certainly a good starting point for entering the world of statistical network analysis.

https://besjournals.onlinelibrary.wiley.com/doi/full/10.1111/2041-210X.12770

 

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