[1] Devi, J.C., Poovammal, E.: An analysis of overlapping community detection algorithms in social networks. In: Twelfth International Multi-Conference on Information Processing IMCIP (2016)

[2] Gregory, S.: A fast algorithm to find overlapping communities in networks Lect. In: ECMLPKDD’08, Volume Part I September 2008, pp. 408–423 (2008)

[3] Gregory, S.: Finding overlapping communities in networks by label propagation. New J. Phys. 12(10), 103018 (2010)

[4] Lancichinetti, A., Fortunato, S., Kertesz, J.: Detecting the overlapping and hierarchical community structure in complex networks. New J. Phys. 11(3). Article ID 033015 (2009)

[5] Palla, G., Deresnyi, I., Farkas, I.: Uncovering the overlapping community structure of complex networks in nature and society. Nature 435, 814–818 (2005)

[6] Saradha, C.S., Arul, D.P.: An optimized overlapping and disjoint community detection techniques using improved community overlap propagation algorithm in complex networks. Adv. Sci. Res. JCR 7(4), 782–790 (2020)

[7] Ahn, Y.Y., Bagrow, J.P., Lehmann, S.: Link communities reveal multiscale complexity in networks. Nature 466, 761–764 (2015)

[8] Rossi, R.J.: Mathematical Statistics: An Introduction to Likelihood Based Inference, p. 227. John Wiley & Sons, New York. ISBN 978–1–118–77104–4 (2018)

[9] David, H., Nielsen, B.: Econometric modeling: a likelihood approach. Princeton University Press, Princeton. ISBN 978–0–691–13128–3 (2007)

[10] Glasmachers, T., Igel, C.: Gradient-based adaptation of general Gaussian kernels. Neural Comput. 17(10), 2099–2105 (2005)

[11] Ruder, S.: An overview of gradient descent optimisation algorithms. arXiv preprint: 1609.04747 [cs.LG] (2016)

[12] Trinh, N.H., Quang, V.V.: The application of range clustering method in community detecting problem. TNU J. Sci. Technol. 255(06), 303–310. eISSN: 2615–9562, ISSN: 1859–2171, 2734–9098 (2020)

[13] Leskovec, J., Krevl, A.: SNAP datasets tanford large network dataset collection, [Online]. Available: https://snap.stanford.edu. Accessed 15 May 2023 (2014)

[14] Luo, W., Lu, N., Ni, L., Zhu, W., Ding, W.: Local community detection by the nearest nodes with greater centrality. Inf. Sci. 517, 377–392 (2020)

[15] Su, Y., Zhou, K., Zhang, X., Cheng, R., Zheng, C.: A parallel multi-objective evolutionary algorithm for community detection in large-scale complex networks. Inf. Sci. 576, 374–392 (2021)