[1] Y. Y. Ahn, J. P. Bagrow and S. Lehmann, Link communities reveal multiscale complexity in networks, Nature, 466 (2010) 761–764.
[2] H. Alvari, S. Hashemi and A. Hamzeh, Detecting overlapping communities in social networks by game theory and structural equivalence concept, In: International Conference on Artificial Intelligence and Computational Intelligence, Springer, Berlin, Heidelberg, (2011) 620–630.
[3] B. Ball, B. Karrer and M. E. Newman, Efficient and principled method for detecting communities in networks, Phys. Rev. E, 84 no. 3 (2011) 036103.
[4] O. Chatain, Cooperative and non-cooperative game theory, In book: The Palgrave Encyclopedia of Strategic Management, University of Pennsylvania, 2016 pp. 1–3.
[5] W. Chen, Z. Liu, X. Sun and Y. Wang, A game-theoretic framework to identify overlapping communities in social networks, Data Min. Knowl. Discov., 21 no. 2 (2010) 224–240.
[6] PO. Fjällström, Algorithms for graph partitioning: a survey, Linköping electronic articles in computer and information science, 3 (1998) pp. 34. http://www.ep.liu.se/ea/cis/1998/010/.
[7] M. Girvan and M. E. Newman, Community structure in social and biological networks, Proc. Natl. Acad. Sci. USA, 99 no. 12 (2002) 7821–7826.
[8] A. Hajibagheri, H. Alvari, A. Hamzeh and S. Hashemi, Social networks community detection using the shapley value, In: The 16th CSI International Symposium on Artificial Intelligence and Signal Processing (AISP 2012), Shiraz, Iran, (2012) 222–227.
[9] A. Lancichinetti, S. Fortunato and J. Kertesz, Detecting the overlapping and hierarchical community structure in complex networks, New J. Phys., 11 (2009) 122–128.
[10] A. Lancichinetti, S. Fortunato, and F. Radicchi, Benchmark graphs for testing community detection algorithms on directed and weighted graphs with overlapping communities. Phys. Rev. E 80 no.1 (2009) pp. 9.
[11] R. I. Lung, A. Gog and C. Chira, A game theoretic approach to community detection in social networks, Chapter In: Nature Inspired Cooperative Strategies for Optimization (NICSO 2011), Berlin, Heidelberg: Springer Berlin Heidelberg, (2011) 121–131.
[12] M. Molloy and B. Reed, A critical point for random graphs with a given degree sequence, Random Struct Algorithms, 6 no. 2-3 (1995) 161–180.
[13] V. Moscato, A. Picariello and G. Sperlí, Community detection based on Game Theory, Eng. Appl. Artif. Intell., 85 (2019) 773–782.
[14] M. E. J. Newman, Modularity and community structure in networks, Proc. Natl. Acad. Sci., 103 no. 23 (2006) 8577–8582.
[15] M. E. J. Newman and M. Girvan, Finding and evaluating community structure in networks, Phys. Rev. E, 69 (2004) 231–238.
[16] G. Palla, I. Derényi, I. Farkas and T. Vicsek, Uncovering the overlapping community structure of complex networks in nature and society, Nature, 435 (2005) 814–818.
[17] A. Roth, The Shapley Value: Essays in Honor of Lloyd S. Shapley, Cambridge: Cambridge University Press, 1988.
[18] H. C. White, S. A. Boorman and R. L. Breiger, Social structure from multiple networks. I. blockmodels of roles and positions, Am. J. Soc., 81 no. 4 (1976) 730–780.
[19] W. W. Zachary, An information flow model for conflict and fission in small groups, Journal of Anthropological Research, 33 no. 4 (1977) 452–473.
[20] G. L.Zacharias, J. E. Macmillan and S. B. Van Hemel, Behavioral modeling and simulation: From individuals to societies, National Academies Press, 2008.
[21] L. Zhou, C. Cheng, K. Lü and H. Chen, Using coalitional games to detect communities in social networks, In: International Conference on Web-Age Information Management, Springer, Berlin, Heidelberg, (2013) 326–331.
[22] L. Zhou and K. Lü, Detecting communities with different sizes for social network analysis, The Computer Journal, 58 no. 9 (2015) 1894–1908.
[23] L. Zhou, K. Lü, P. Yang, L. Wang and B. Kong, An approach for overlapping and hierarchical community detection in social networks based on coalition formation game theory, Expert Syst. Appl., 42 no. 24 (2015) 9634–9646.
[24] L. Zhou, P. Yang, K. Lü, L. Wang and H. Chen, A fast approach for detecting overlapping communities in social networks based on game theory, In: British International Conference on Databases, Springer, Cham, (2015) 62–73.
