Physics – Data Analysis – Statistics and Probability
Scientific paper
2008-06-11
Physics
Data Analysis, Statistics and Probability
Scientific paper
We reformulate the problem of modularity maximization over the set of partitions of a network as a conic optimization problem over the completely positive cone, converting it from a combinatorial optimization problem to a convex continuous one. A semidefinite relaxation of this conic program then allows to compute upper bounds on the maximum modularity of the network. Based on the solution of the corresponding semidefinite program, we design a randomized algorithm generating partitions of the network with suboptimal modularities. We apply this algorithm to several benchmark networks, demonstrating that it is competitive in accuracy with the best algorithms previously known. We use our method to provide the first proof of optimality of a partition for a real-world network.
No associations
LandOfFree
Identification of community structure in networks with convex optimization 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 Identification of community structure in networks with convex optimization, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Identification of community structure in networks with convex optimization will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-266021