A dual assortative measure of community structure

摘要: Current community detection algorithms operate by optimizing a statistic called modularity, which analyzes the distribution of positively weighted edges in network. Modularity does not account for negatively edges. This paper introduces dual assortative modularity measure (DAMM) that incorporates both and We describe DAMM illustrate its utility algorithm. evaluate efficacy algorithm on computer generated real-world networks, showing broadens domain networks can be analyzed algorithms.