Change Point Estimation in a Dynamic Stochastic Block Model

no code implementations • 7 Dec 2018 • Monika Bhattacharjee, Moulinath Banerjee, George Michailidis

Once the change point is identified, in the second step, all network data before and after it are used together with a clustering algorithm to obtain the corresponding community structures and subsequently estimate the generating stochastic block model parameters.

Clustering Stochastic Block Model