1. Run structural hole measures on the camp92 dataset. But REVERSE the data first, so that a big number indicates more social closeness than a small number. Also run brokerage measures using partition vector which classifies each person as male participant, female participant, or instructor (3 class partition). Interpret. Create annotated Word file and email to me.
2. Run brokerage measures on the sundnet dataset (not yet available), using department to partition actors. You will need to recode missing values (NA) to zeros before you run brokerage. Interpret, put together annotated word file, and email.