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arXiv · 1201.3307

Multi-scale Community Detection using Stability Optimisation within Greedy Algorithms

Erwan Le Martelot·Chris Hankin
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Abstract

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.

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Erwan Le Martelot, Chris Hankin. 2012-01-16. Multi-scale Community Detection using Stability Optimisation within Greedy Algorithms. https://arxiv.org/abs/1201.3307

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