A memetic algorithm for community detection by maximising the connected cohesion

@article{Haque2017AMA,
  title={A memetic algorithm for community detection by maximising the connected cohesion},
  author={Mohammad Nazmul Haque and Luke Mathieson and Pablo Moscato},
  journal={2017 IEEE Symposium Series on Computational Intelligence (SSCI)},
  year={2017},
  pages={1-8}
}
Community detection is an exciting field of research which has attracted the interest of many researchers during the last decade. While many algorithms and heuristics have been proposed to scale existing approaches a relatively smaller number of studies have looked at exploring different measures of quality of the detected community. Recently, a new score called ‘cohesion’ was introduced in the computing literature. The cohesion score is based comparing the number of triangles in a given group… CONTINUE READING

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