Chen L, Wang W B, Sheth A P. Are Twitter Users Equal in Predicting Elections? A Study of User Groups in Predicting 2012 U.S. Republican Presidential Primaries // Proc of the 4th International Conference on Social Informatics. Lausanne, Switzerland, 2012: 379-392
[2]
Asur S, Huberman B A, Szabo G, et al. Trends in Social Media: Persistence and Decay // Proc of the 5th International AAAI Conference on Weblogs and Social Media. Barcelona, Spain, 2011: 434-437
[3]
Cataldi M, di Caro L, Schifanella C. Emerging Topic Detection on Twitter Based on Temporal and Social Terms Evaluation // Proc of the 10th International Workshop on Multimedia Data Mining. Wa-shington, USA, 2010. DOI: 10.1145/1814245.1814249
[4]
Lau J H, Collier N, Baldwin T. On-line Trend Analysis with Topic Models: Twitter Trends Detection Topic Model Online // Proc of the 24th International Conference on Computational Linguistics. Mumbai, India, 2012: 1519-1534
[5]
Yang D Q, Xiao Y H, Wang W. Statistical Mode-Based Analysis and Prediction of Collective Attentions in Social Networks. Journal of Computer Research and Development, 2010, 47(z1): 378-384 (in Chinese) (阳德青,肖仰华,汪 卫.基于统计模型的社会网络群体关注度的分析与预测.计算机研究与发展, 2010, 47(z1): 378-384)
[6]
Tian Y. On Trends Analysis and Prediction Based on Micro-Blogging Platforms. Ph.D Dissertation. Wuhan, China: Wuhan University, 2012 (in Chinese) (田 野.基于微博平台的事件趋势分析及预测研究.博士学位论文.武汉:武汉大学, 2012)
[7]
Lu R, Zhang Y, Yang Q. Predicting News Trend in the Social Network. Journal of Chinese Information Processing, 2013, 26(6): 85-90, 97 (in Chinese) (路 荣,张 旸,杨 青.社交网络中新闻趋势的预测分析.中文信息学报, 2013, 26(6): 85-90, 97)
[8]
Cataldi M, di Caro L, Schifanella C. Personalized Emerging Topic Detection Based on a Term Aging Model. ACM Trans on Intelligent Systems and Technology, 2013, 5(1): 1-27
[9]
Chen C C, Chen Y T, Sun Y L, et al. Life Cycle Modeling of News Events Using Aging Theory // Proc of the 14th European Conference on Machine Learning. Cavtat-Dubrovnik, Croatia, 2003: 47-59
[10]
Chen C C, Chen Y T, Chen M C. An Aging Theory for Event Life-Cycle Modeling. IEEE Trans on Systems, Man and Cybernetics: Systems and Humans, 2007, 37(2): 237-248
[11]
Zou B X, Liu Q. ARMA-Based Traffic Prediction and Overload Detection of Network. Journal of Computer Research and Development, 2002, 39(12): 1645-1652 (in Chinese)(邹柏贤,刘 强.基于 ARMA 模型的网络流量预测.计算机研究与发展, 2002, 39(12): 1645-1652)
[12]
Feng H L, Chen D, Lin Q J, et al. Multi-scale Network Traffic Prediction Using a Two-Stage Neural Network Combined Model // Proc of the International Conference on Wireless Communications, Networking and Mobile Computing. Wuhan, China, 2006. DOI: 10.1109/WiCOM.2006.377
[13]
Guresen E, Kayakutlu G, Daim T U. Using Artificial Neural Network Models in Stock Market Index Prediction. Expert Systems with Applications, 2011, 38(8): 10389-10397
[14]
Hong F, Wu Z M. Multiscale Network Traffic Prediction Model Based on Wavelet. Chinese Journal of Computers, 2006, 29(1): 166-170 (in Chinese)(洪 飞,吴志美.基于小波的多尺度网络流量预测模型.计算机学报, 2006, 29(1): 166-170)
[15]
Chen X T, Liu J X. Network Traffic Prediction Based on Wavelet Transformation and FARIMA. Journal on Communications, 2011, 32(4): 153-157, 165 (in Chinese)(陈晓天,刘静娴.改进的基于小波变换和FARIMA模型的网络流量预测算法.通信学报, 2011, 32(4): 153-157, 165)
[16]
Kumar V. Algorithms for Constraint-Satisfaction Problems: A Survey. AI Magazine, 1992, 13(1): 32-44
[17]
Weng J S, Lee B S. Event Detection in Twitter // Proc of the 5th International AIII Conference on Weblogs and Social Media. Barcelona, Spain, 2011: 401-408
[18]
Kendall M G. A New Measure of Rank Correlation. Biometrika, 1938, 30(1/2): 81-93
