[1] P. E.Brown and J. Feng, “Measuring User Influence on Twitter using Modified K-Shell Decomposition,” inProceedings of Fifth International AAAI Conference on Weblogs and Social Media, pp. 18-23, Barcelona, Catalonia, Spain, July 2011 [2] M. Cha, H. Haddadi, F. Benevenuto,K. P. Gummadi, “Measuring User Influence in Twitter: The Million Follower Fallacy,” inProceedings of Fourth International AAAI Conference on Weblogs and Social Media (ICWSM 2010), pp. 10-17, Washington, USA, May 2010 [3] Q. Fang, J. Sang, C. Xu,Y. Rui, “Topic-Sensitive Influencer Mining in Interest-based Social Media Networks via Hypergraph Learning,” IEEE Transactions on Multimedia, Vol. 16, No. 3, pp. 796-812, April 2014 [4] C. Lee, H. Kwak, H. Park,S. Moon, “Finding Influentials based on the Temporal Order of Information Adoption in Twitter,” inProceedings of the 19th International Conference on World Wide Web, pp. 1137-1138, Raleigh, North Carolina, USA, April 2010 [5] D. Saez-Trumper, G. Comarela, V. Almeida, R. Baeza-Yates,F. Benevenuto, “Finding Trendsetters in Information Networks,” inProceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 1014-1022, Beijing‚ China‚ August 2012 [6] J. Weng, E. P. Lim, J. Jiang,Q. He, “Twitterrank: Finding Topic-Sensitive Influential Twitterers,” in Proceedings of the Third ACM International Conference on Web Search and Data Mining, pp. 261-270, New York, USA, February 2010 [7] Y. Wu, Y. Hu, X. He,K. Deng, “Impact of User Influence on Information Multi-Step Communication in a Micro-Blog,” Chinese Physics B, Vol. 23, No. 6, pp. 5-12, June 2014 [8] H. Ye and J. Du, “Opinion Leader Mining of Social Network Combined with Hierarchical Sentiment Analysis,” inProceedings of 2017 Chinese Intelligent Automation Conference, pp. 639-646, Tianjin, China, October 2017 [9] H. Guo, Y. Lu,Y. Wang, “Measuring User Influence of a Microblog based on Information Diffusion,” Journal of Shandong University, Vol. 47, No. 5, pp. 78-83, May 2012 [10] J. Li, W. Peng,T. Li, “Social Network User Influence Sense-Making and Dynamics Prediction,” Expert Systems with Applications, Vol. 41, No. 11, pp. 5115-5124, September 2014 |