This family of people recommendation algorithms includes some important sanity-check baselines to include in the experiments.
This algorithm generates random recommendation scores for each candidate user in the network.
Random:
This algorithm recommends the set of most followed users in the network (i.e. those maximizing the in-degree).
Popularity: