Computational complexities of optimization problems related to model-based clustering of networks

Abstract

An extremely popular model-based graph partitioning approach that is used for both biological and social networks is the so-called modularity optimization approach originally proposed by Newman and its variations. In this chapter, we review several combinatorial and algebraic methods that have been used in the literature to study the computational complexities of these optimization problems.