If you want to learn a methodology, there may be an email list you should be on. The two big network analysis packages in R Statnet and igraph each have one (sign up: Statnet, igraph, Mixed Models). If you join them, you can ask questions when you get stuck. But you may end up learning even more from other people’s questions. Jorge M Rocha stimulated Carter Butts to write a mini-essay on exponential random graph models which I received permission to repost. Dave Hunter also adds some thoughts at the bottom.
Andrew Gelman discusses a paper by James Fowler, Nicholas Christakis, Bruno Frey, and Jan-Emmanuel De Neve. Fowler responds in the comments.
Lots of debate over the predictive validity of the GRE over at OrgTheory.
Brad Delong reposts an essay by Paul Krugman, which I believe was written before the crisis. In this short piece, Krugman attempts to summarize useful macroeconomic models and laments that they have fallen out of fashion.
If you are interested primarily in modeling outside of economics, this Krugman is more useful, but both are definitely worthwhile.