Over the years, network analysts have accomplished many things with creative and inventive solutions to many technical problems. The field has progressed in an impressive fashion, so much so that some have suggested it is a scientific revolution for the social sciences. This seems a debatable claim. Until we can solve problems that other scholars cannot solve, the claim will be hollow. A suggested list of such problems is this:

1. test statistically the fit of blockmodels in large networks;
2. model the evolution of such fundamental network structures;
3. incorporate network autocorrelation to a wide variety of statistical methods in a dynamic context to predict actor behavior;
4. incorporate massive shocks to network systems analytically; and
5. build multiple-equation methods for the study of whole networks.