[1] NEWMAN M E J. Networks: an introduction [M]. Oxford: Oxford University Press, 2010. [2] BONCHI F, CASTILLO C, GIONIS A, et al. Social network analysis and mining for business applications [J]. ACM Transactions on Intelligent Systems and Technology, 2011, 2(3) 22:1-22:37. [3] ZHU Z. Discovering the influential users oriented to viral marketing based on online social networks [J]. Physica A: Statistical Mechanics and its Applications, 2013, 392(16):3459-3469. [4] LI Y-M, SHIU Y-L. A diffusion mechanism for social advertising over microblogs [J]. Decision Support Systems, 2012, 54(1): 9-22. [5] RAO W, CHEN L, BARTOLINI I. Ranked content advertising in online social networks [J]. World Wide Web-internet & Web Information Systems, 2014, 18(3):1-19. [6] HASSAN N R. Using social network analysis to measure IT-enabled business process performance [J]. Information Systems Management, 2009, 26(1):61-76. [7] WU Y, LIU S, YAN K, et al. OpinionFlow: visual analysis of opinion diffusion on social media [J]. IEEE Transactions on Visualization and Computer Graphics, 2014, 20(12): 1763-1772. [8] ALBERT R A L. BARABASI A L. Statistical mechanics of complex networks [J]. Reviews of Modern Physics, 2002, 74(1): 47-97. [9] BARABASI A L, BONABEAU E. Scale-free networks [J]. Scientific American, 2003, 288(5): 60-69. [10] FORTUNATO S, LATORA V, MARCHIORI M. Method to find community structures based on information centrality [J]. Physical Review E: Statistical, Nonlinear, and Soft Matter Physics, 2004, 70(5):056104. [11] TANG L, WANG X, LIU H. Community detection via heterogeneous interaction analysis [J]. Knowledge Discovery and Data Mining, 2012, 25(1): 1-33. [12] FORTUNATO S. Community detection in graphs [J]. Physics Reports, 2010, 486(3/4/5): 75-174. [13] ROSVALL M, BERGSTORM C T. Maps of random walks on complex networks reveal community structure [J]. Proceedings of the National Academy of Sciences of the United States of America, 2008, 105(4):1118-1123. [14] CHEN W, WANG C, WANG Y. Scalable influence maximization for prevalent viral marketing in large scale social networks [C]//Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. New York: ACM Press, 2010:1029-1038. [15] LIN S, CHALUPSKY H. Discovering and explaining abnormal nodes in semantic graphs [J]. IEEE Transactions on Knowledge & Data Engineering, 2008, 20(8):1039-1052. |