[1] F. Huang, X. Li, S. Zhang and J. Zhang, "Overlapping Community Detection for Multimedia Social Networks", IEEE Transactions on Multimedia, Vol. 92, 2017, pp. 1-3.
[2] A.L. Barabási and R. Albert, "Emergence of scaling in random networks", Science, Vol. 286, 1999, pp. 509-512.
[3] A.L. Barabási and E. Bonabeau, "Scale-free Networks", Scientific American, Vol. 288, 2003, pp. 50-59.
[4] M. Plantié and M. Crampes, "Survey on social community detection", Social media retrieval (Springer), 2013, pp. 65-85.
[5] S. Yang, X. Yang, C. Zhang and E. Spyrou, "Using social network theory for modeling human mobility", IEEE network, Vol. 24, 2010, pp. 6-13.
[6] S. Fortunato, "Community detection in graphs, Physics reports", Vol. 486, 2010, pp. 75-174.
[7] S. Harenberg, G. Bello, L. Gjeltema, S. Ranshous, J. Harlalka and R. Seay, "Community detection in large-scale networks: a survey and empirical evaluation", Wiley Interdisciplinary Reviews: Computational Statistics, Vol. 6, 2014, pp. 426-439.
[8] M. Coscia, F. Giannotti and D. Pedreschi, "A classification for community discovery methods in complex networks", Statistical Analysis and Data Mining, Vol. 4, 2011, pp. 512-546.
[9] I. Psorakis, S. Roberts, M. Ebden and B. Sheldon, "Overlapping community detection using Bayesian non-negative matrix factorization", Physical Review E, Vol. 83. No. 6, 2011, p. 066114.
[10] J.Yang and J. Leskovec, “Overlapping community detection at scale: a nonnegative matrix factorization approach”, in Proceedings of the sixth ACM international conference on Web search and data mining, 2013, pp. 587-596.
[11] M. Girvan and M.E. Newman, "Community structure in social and biological networks", Proceedings of the national academy of sciences, Vol. 99, 2002, pp. 7821-7826.
[12] S. Gregory, “An algorithm to find overlapping community structure in networks”, in Proceedings of the European Conference on Principles of Data Mining and Knowledge Discovery, 2007, pp. 91-102.
[13] D. Rhouma and L. Romdhane, "An efficient algorithm for community mining with overlap in social networks", Expert Systems with Applications, Vol. 41, 2014, pp. 4309-4321.
[14] W. Zhi-Xiao, L. Ze-chao, Xiao-fang and T. Jin-hui, "Overlapping community detection based on node location analysis", Knowledge-Based Systems, Vol. 105, 2016, pp. 225-235.
[15] A. Clauset, M.E. Newman and C. Moore, "Finding community structure in very large networks", Physical review E, Vol. 70, 2004, p. 066111.
[16] V.D. Blondel, J. Guillaume, R. Lambiotte and E. Lefebvre, "Fast unfolding of communities in large networks", Journal of statistical mechanics: theory and experiment, 2008, p. 10008.
[17] M. Chen, K. Kuzmin and B.K. Szymanski, “Extension of Modularity Density for overlapping community structure”, in Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), 2014, pp. 856-863.
[18] S. Kelley, "The existence and discovery of overlapping communities in large-scale networks", PhD Thesis, Rensselaer Polytechnic Institute, NY, 2009.
[19] A. Lancichinetti and S. Fortunato, "Community detection algorithms: a comparative analysis", Physical review E, Vol. 80, 2009, p. 056117.
[20] A. Lancichinetti, F. Radicchi, J.J. Ramasco and S. Fortunato, "Finding statistically significant communities in networks", PloS one, Vol. 6, 2011, p. e18961.
[21] S. Bandyopadhyay, G. Chowdhary and D. Sengupta, "FOCS: Fast Overlapped Community Search", IEEE Transactions on Knowledge and Data Engineering, Vol. 27, 2015, pp. 2974-2985.
[ 22 ] ح. شریف زاده و ن. امجدی، ( 1393)، " مروری بر انواع الگوریتم های فراکاوشی در بهینه سازی"، مجله مدلسازی در مهندسی، دوره 2 ، شماره 38 ، 1393 ، صفحۀ 03 - 27.
[23] C. Pizzuti, “GA-Net: A Genetic Algorithm for Community Detection in Social Networks”, Parallel Problem Solving from Nature, PPSN (Springer), 2008, pp. 1081-1090.
[24] C. Pizzuti, "A Multiobjective Genetic Algorithm to Find Communities in Complex Networks", IEEE Transactions on Evolutionary Computation, Vol. 16, 2012, pp. 418-430.
[25] ع. نعیمی صدیق، س.ک. چهارسوقی و م. شیخمحمدی شیخ " طراحی مدل هماهنگی در زنجیره تأمین رقابتی با استفاده از رویکرد نظریه بازی با همکاری و بدون همکاری "، مجله مدلسازی در مهندسی، دوره 10، شماره 29 ، 1391 ، صفحۀ 31 - 19.
[26] W. Chen, Z. Liu, X. Sun and Y. Wang, "A game-theoretic framework to identify overlapping communities
in social networks", Data Mining and Knowledge Discovery, Vol. 21, 2010, pp. 224-240.
[27] ا. گلکار و م. کائدی، "ارائه مدلی برای تخمین میزان برونگرایی اعضای شبکه اجتماعی با استفاده از اطلاعات ساختار گراف "
مجله مدلسازی در مهندسی، دوره 13 ، شماره 43 ، 1394 ، صفحۀ 91-106.
[28] ر. احمدی و س. شیخ احمدی، "پیش بینی افراد خبره در شبکههای اجتماعی آنلاین"، هشتمین کنفرانس بینالمللی فناوری اطلاعات و دانش، دانشگاه بوعلی سینا، همدان، 1395
[29] ع.ا. طالعی زاده و ز. چراغی، " قیمت گذاری و بازاریابی در یک زنجیره تأمین دوسطحی تحت چهار رویکرد نظریه بازیها "،
مجله مدلسازی در مهندسی، دوره 13 ، شماره 42 ، 1394 ، صفحۀ 135 - 149 .
[30] U.N. Raghavan, R. Albert and S. Kumara, "Near linear time algorithm to detect community structures in large-scale networks", Physical review E, Vol. 76, 2007, p. 036106.
[31] S. Gregory, "Finding overlapping communities in networks by label propagation", New Journal of Physics, Vol. 12, 2010, p. 103018.
[32] J. Xie and B.K. Szymanski, “Towards linear time overlapping community detection in social networks”, in Proceedings of the Pacific-Asia Conference on Knowledge Discovery and Data Mining, 2012, pp. 25-36.
[33] M. Coscia, G. Rossetti, F. Giannotti and D. Pedreschi, “Demon: a local-first discovery method for overlapping communities”, in Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining, 2012, pp. 615-623.
[34] E. Airoldi, D. Blei, S. Fienberg and E. Xing, "Mixed membership stochastic blockmodels", Journal of Machine Learning Research, Vol. 9, 2008, pp. 1981-2014.
[35] A. McDaid and N. Hurley, “Detecting highly overlapping communities with model-based overlapping seed expansion”, in Proceedings of the IEEE/ACM International Conference on Social Networks Analysis and Mining (ASONAM), 2010, pp. 112-119.
[36] J. Whang, D. Gleich and I. Dhillon, "Overlapping Community Detection Using Neighborhood-Inflated Seed Expansion", IEEE Transactions on Knowledge and Data Engineering, Vol. 28, 2016, pp. 1272-1284.
[37] G. Palla, I. Derényi, I. Farkas and T. Vicsek, "Uncovering the overlapping community structure of complex networks in nature and society", Nature, Vol. 435, 2005, pp. 814-818.
[38] H. Shen, X. Cheng, K. Cai and M. Hu, "Detect overlapping and hierarchical community structure in networks", Physica A: Statistical Mechanics and its Applications, Vol. 388, 2010, pp. 1706-1712.
[39] C. Lee, F. Reid, A. McDaid and N. Hurley, "Detecting highly overlapping community structure by greedy clique expansion", arXiv preprint:1002.1827, 2010.
[40] P. Pons and M. Latapy, “Computing communities in large networks using random walks”, International Symposium on Computer and Information Sciences, 2005, pp. 284-293.
[41] M. Rosvall and C. Bergstrom, "Maps of random walks on complex networks reveal community structure", Proceedings of the National Academy of Sciences, Vol. 105, 2008, pp. 1118-1123.
[42] D. Jin, B. Yang, C. Baquero, D. Liu, D. He and J. Liu, "A Markov random walk under constraint for discovering overlapping communities in complex networks", Journal of Statistical Mechanics: Theory and Experiment, 2011, p. P05031.
[43] T. Evans and R. Lambiotte, "Line graphs, link partitions, and overlapping communities", Physical Review E, Vol. 80, 2009, p. 016105.
[44] Y.Y. Ahn, J.P. Bagrow and S. Lehmann, "Link communities reveal multiscale complexity in networks", Nature, Vol. 466. 2010, pp. 761-764.
[45] G. Palla, I. Farkas, P. Pollner, I. Derenyi, and T Vicsek, "Directed network modules", New Journal of Physics, Vol. 9, 2007, p. 186.
[46] I. Farkas, D. Ábel, G. Palla and T. Vicsek, "Weighted network modules", New Journal of Physics, Vol. 9, 2007, p. 180.
[47] J. Kunegis, “Konect: the koblenz network collection”, 22nd International Conference on World Wide Web, 2013, pp. 1343-1350.
[48] J. Leskovec and R. Sosič, "SNAP: A general-purpose network analysis and graph-mining library", ACM Transactions on Intelligent Systems and Technology, Vol. 8, 2016, pp. 1-20.
[49] M. Bastian, S. Heymann and M. Jacomy, “Gephi: open source software for exploring and manipulating networks”, in Proceedings of the International Conference on Weblogs and Social Media, Vol. 8, 2009, pp. 361-362.
[50] J. Leskovec, K. Lang and M. Mahoney, “Empirical comparison of algorithms for network community detection”, in Proceedings of the 19th international conference on World Wide Web, 2010, pp. 631-640.
)
