For those of you interested in the statistical analysis of networks, we have developed a suite of R packages collectively called statnet for that purpose, based on Exponential family Random Graph Models (ERGMs). Think logistic regression for predicting the odds of an edge between two vertices, but in a dependent data setting. The packages implement methods for static and dynamic graphs, with binary, signed or weighted edges, and the dynamic methods include tools for network "movie" visualization (ndtv), and running epidemics on networks (EpiModel).
Github development: https://github.com/statnet
Tutorials: https://github.com/statnet/Workshops/wiki
Shiny Apps:
- https://statnet.shinyapps.io/statnetWeb (for statnet)
- https://statnet.shinyapps.io/epinet (for EpiModel)
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