A dual assortative measure of community structure

Details A dual assortative measure of community structure A dual assortative measure of community structure

2008-01-21

arxiv.org/abs/0801.3290v1

Physics

Data Analysis, Statistics and Probability

Scientific paper

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

Affiliated with

Also associated with

No associations

Rating

A dual assortative measure of community structure does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with A dual assortative measure of community structure, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and A dual assortative measure of community structure will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-94779