Ga Ming Angus Chan

Fitting low-rank models on egocentrically sampled partial networks

The statistical modeling of random networks has been widely used to uncover interaction mechanisms in complex systems and to predict unobserved links in real-world networks. In many applications, network connections are collected via egocentric sampling: a subset of nodes is sampled first, after whi…