SBM Based Community Detection: School Friendship Network

Abstract

Many networks of interest to Information Systems researchers exhibit community structure. This macro-scale structure is so natural that community detection is an essential task to divide large networked data sets into manageable groups to enable an understanding of a system at the meso-scale. In the present work, we aim at introducing this elegant approach as the state-of the-art knowledge to the IS research community, manage to extent the method to multi-edge networks, and apply successfully the extended method to a real-world school best friendship context.