Leiden Fitness-Based Genetic Algorithm with Niching for Community Detection in Large Social Networks
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-7022-3_39
Reference22 articles.
1. Aghaalizadeh, S., Afshord, S.T., Bouyer, A., Anari, B.: A three-stage algorithm for local community detection based on the high node importance ranking in social networks. Phys. A 563, 1–16 (2021)
2. Al-Andoli, M.N., Tan, S.C., Cheah, W.P., Tan, S.Y.: A review on community detection in large complex networks from conventional to deep learning methods: a call for the use of parallel meta-heuristic algorithms. IEEE Access 9, 96501–96527 (2021)
3. Azaouzi, M., Rhouma, D., Ben Romdhane, L.: Community detection in large-scale social networks: state-of-the-art and future directions. Soc. Netw. Anal. Min. 9(1), 1–32 (2019). https://doi.org/10.1007/s13278-019-0566-x
4. Behera, R.K., Naik, D., Rath, S.K., Dharavath, R.: Genetic algorithm-based community detection in large-scale social networks. Neural Comput. Appl. 32, 9649–9665 (2020)
5. Chen, X., Li, J.: Community detection in complex networks using edge-deleting with restrictions. Phys. A 519, 181–194 (2019)
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