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arXiv · 1501.05139

Detecting Overlapping Link Communities by Finding Local Minima of a Cost Function with a Memetic Algorithm. Part 1: Problem and Method

Frank Havemann·Jochen Gläser·Michael Heinz
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Abstract

We propose an algorithm for detecting communities of links in networks which uses local information, is based on a new evaluation function, and allows for pervasive overlaps of communities. The complexity of the clustering task requires the application of a memetic algorithm that combines probabilistic evolutionary strategies with deterministic local searches. In Part 2 we will present results of experiments with with citation networks.

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Frank Havemann, Jochen Gläser, Michael Heinz. 2016-06-23. Detecting Overlapping Link Communities by Finding Local Minima of a Cost Function with a Memetic Algorithm. Part 1: Problem and Method. https://arxiv.org/abs/1501.05139

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