Multi-scale Community Detection using Stability Optimisation within Greedy Algorithms

Details Multi-scale Community Detection using Stability Optimisation within Greedy Algorithms Multi-scale Community Detection using Stability Optimisation within Greedy Algorithms

2012-01-16

arxiv.org/abs/1201.3307v1

Computer Science

Data Structures and Algorithms

This paper is an extension of the paper named "Multi-scale Community Detection using Stability as Optimisation Criterion in a

Scientific paper

Many real systems can be represented as networks whose analysis can be very informative regarding the original system's organisation. In the past decade community detection received a lot of attention and is now an active field of research. Recently stability was introduced as a new measure for partition quality. This work investigates stability as an optimisation criterion that exploits a Markov process view of networks to enable multi-scale community detection. Several heuristics and variations of an algorithm optimising stability are presented as well as an application to overlapping communities. Experiments show that the method enables accurate multi-scale network analysis.

Affiliated with

Also associated with

No associations

Rating

Multi-scale Community Detection using Stability Optimisation within Greedy Algorithms 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 Multi-scale Community Detection using Stability Optimisation within Greedy Algorithms, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Multi-scale Community Detection using Stability Optimisation within Greedy Algorithms will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-410457