Adopting Different Strategies for Improving Local Community Detection: A Comparative Study
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-53499-7_6
Reference22 articles.
1. Bagrow, J.P., Bollt, E.M.: Local method for detecting communities. Phys. Rev. E 72(4), 046,108 (2005)
2. Baltsou, G., Tsichlas, K., Vakali, A.: Local community detection with hints. Appl. Intell., 1–22 (2022)
3. Bharali, A.: An analysis of email-eu-core network. Int. J. Sci. Res. Math. Stat. Sci. 5, 100–104 (2018). https://doi.org/10.26438/ijsrmss/v5i4.100104
4. Bian, Y., Luo, D., Yan, Y., Cheng, W., Wang, W., Zhang, X.: Memory-based random walk for multi-query local community detection. Knowl. Inf. Syst. 62, 2067–2101 (2020)
5. Blondel, V.D., Guillaume, J.L., Lambiotte, R., Lefebvre, E.: Fast unfolding of communities in large networks. J. Stat. Mech. Theory Exp. 2008(10), P10,008 (2008)
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