Enhance the Efficiency of Heuristic Algorithm for Maximizing Modularity Q

Abstract

Modularity Q is an important function for identifying community structure in complex networks. In this paper, we prove that the modularity maximization problem is equivalent to a nonconvex quadratic programming problem. This result provide us a simple way to improve the efficiency of heuristic algorithms for maximizing modularity Q. Many numerical results demonstrate that it is very effective.

9 pages, 3 figures

References in corpus (3)

• Resolution limit in community detection
• Mixture models and exploratory analysis in networks
• Identifying "communities" within energy landscapes