1Kempe D, Kleinberg J, Tardos E. Maximizing the spread of influence in a social network//Proceedings of the 9th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Washington, USA, 2003: 137-146. 被引量:1
2Chen Wei, Wang Ya Jun, Yang Si Yu. Efficient influence maximization in social networks//Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Dis covery and Data Mining. Paris, France, 2009:199 208. 被引量:1
3Young H P. The diffusion of innovations in social net works//Blume L, Durlauf S. The Economy as a Complex System III. USA: Oxford University Press, 2003:1-19. 被引量:1
4Watts D J. A simple model of global cascades on random net works. National Academy of Sciences, 2002, 99(9): 5766- 5571. 被引量:1
5Goldenberg J, Libai B, Muller E. Talk of the network: A complex systems look at the underlying process of word-of- mouth. Marketing Letters, 2001, 12(3): 211-223. 被引量:1
6Estevez Pablo A, Vera Pablo, Saito Kazumi. Selecting the most influential nodes in social networks//Proceedings of the International Joint Conference on Neural Networks. Orlando, Florida, USA, 2007:2397-2402. 被引量:1
7Suri N Rama, Narahari Y. Determining the top k nodes in social networks using the shapely value (Short Paper)//Proceedings of the 7th International Joint Con{erence on Autono mous Agents and Multiagent Systems. Estoril, Portugal, 2008:1509-1512. 被引量:1
8Wang YiTong, Feng XiaoJun. A potential-based node selection strategy for influence maximization in a social network//Proceedings of the 5th International Conference on Advanced Data Mining and Applications. Bering, China, 2009: 350-361. 被引量:1
9Leskovec J, Huttenlocher D, Kleinberg J. Signed networks in social media//Proceedings of the 28th International Conference on Human Factors in Computing Systems. Atlanta, USA, 2010: 1361 -1370. 被引量:1
10Sun Shi-Wei, Ling Lun-Jiang, Zhang Nan, Li Guo-Jie, Chen Run-Sheng. Topological structure analysis of the proteinprotein interaction network in budding yeast. Nucleic Acids Research, 2003, 31(9): 2443-2450. 被引量:1