参考文献/References:
[1] CHAI Bianfang, JIA Caiyan, YU Jian. An online expectation maximization algorithm for exploring general structure in massive networks[J]. Physica A: Statistical Mechanics and Its Applications, 2015, 438: 454-468.
[2] FORTUNATO S. Community detection in graphs[J]. Physics Reports, 2010, 486(3/4/5): 75-174.
[3] 赵学华,杨博,陈贺昌.一种高效的随机块模型学习算法[J].软件学报,2016,27(9):2248-2264.
ZHAO Xuehua, YANG Bo, CHEN Hechang. An efficient stochastic block model learning algorithm[J]. Journal of Software, 2016, 27(9): 2248-2264.(in Chinese)
[4] YA Fangli,CAI Yanjia,JIAN Qiangli, et al. Enhanced semi-supervised community detection with active node and link selection[J]. Physica A:Statistical Mechanics and Its Applications,2018, 510:219-232.
[5] EATON E, MANSBACH R. A spin-glass model for semi-supervised community detection[C]// Proceedings of the 26th AAAI Conference on Artificial Intelligence. Atlanta, USA: AAAI Press, 2012: 900-906.
[6] MA Xiaoke, GAO Lin, YONG Xuerong, et al. Semi-supervised clustering algorithm for community structure detection in complex networks[J]. Physica A: Statistical Mechanics and Its Applications, 2010, 389: 187-197.
[7] ZHANG Zhongyuan. Community structure detection in complex networks with partial background information[J]. Europhysics Letters, 2013, 101(4): 48005.
[8] ZHANG Zhongyuan, SUN Kaidi, WANG Siqi. Enhanced community structure detection in complex networks with partial background information[J]. Scientific Reports, 2013, 3(11): 3241.
[9] YANG Liang, JIN Di, HE Dongxiao, et al. Improving the efficiency and effectiveness of community detection via prior-induced equivalent super-network[J]. Scientific Reports, 2017, 7(1): 634.
[10] YANG Liang, CAO Xiaochun, JIN Di, et al. A unified semi-supervised community detection framework using latent space graph regularization[J].IEEE Transactions on Cybernetics, 2015, 45(11): 2585-2598.
[11] YANG Liang, GE Meng, JIN Di, et al. Exploring the roles of cannot-link constraint in community detection via multi-variance mixed Gaussian generative model[J]. PLoS ONE, 2017, 12(7): e0178029.
[12] CHENG Jianjun, LENG Mingwei, LI Longjie, et al. Active semi-supervised community detection based on must-link and cannot-link constraints[J]. PLoS ONE, 2014, 9(10): e110088.
[13] YANG Liang, JIN Di, WANG Xiao, et al. Active link selection for efficient semi-supervised community detection[J]. Scientific Report, 2015, 5(3): 9039.
[14] JIA Caiyan, LI Yafang, CARSON M B, et al. Node attribute-enhanced community detection in complex networks[J]. Scientific Reports, 2017, 7(1): 2626.
[15] LI Yafang, JIA Caiyan, YU Jian. A parameter-free community detection method based on centrality and dispersion of nodes in complex networks[J]. Physica A: Statistical Mechanics and its Applications, 2015, 438: 321-334
[16] NEWMAN M E J, LEICHT E A. Mixture models and exploratory analysis in networks[J] Proceedings of the National Academy of Sciences, 2007, 104(23): 9564-9569.
[17] LIU Xin, CHENG Huimin, ZHANG Zhongyuan. Evaluation of community detection methods[J]. IEEE Transactions on Knowledge and Data Engineering. (2019-04-17).http://ieeexplore.ieee.org/stamp.jsp?tp=&arnumber:8693534.
[18] NEWMAN M. Network data[DB/OL]. (2013-04-19). http://www-personal.umich.edu/~mejn/netdata/.
[19] TRAUD A L, MUCHA P J, PORTER M A. Social structure of Facebook networks[J]. Physica A: Statistical Mechanics and its Applications, 2012, 391(16): 4165-4180.
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