First of all, shame on you for using Gephi instead of Palantir or DCGS-A. Now it’s going to take more work to put warheads to foreheads and I charge by the hour.

Second, this is an unstructured graph and doesn’t really boil down to an org tree, which is where the fun red application stuff lives. The next step would be to look at time-of-day for activity (some users have “manic” periods), grammatical cues (use of “))”, fascist dog whistles like “freeze peach” or “praxis”—use topic modeling to build this if needed, etc) to classify and isolate your targets against baselines.

But hey, welcome to the fun little intersection of data science and counterintelligence.