计算机工程与应用Issue(16)：121-129,9.DOI:10.3778/j.issn.1002-8331.1308-0319
网络热点话题传播的脉冲时序行为动力模型
摘要
Abstract
The hot topics on the microblogs,forums and other interactive websites are the source and distribution center of the network public opinion.Therefore,early detection and prediction of network hot topics are key to the control of public opinion.Yasuko Matsubara and his colleagues proposed a model(SpikeM model)for information diffusion,which can describe certain patterns of information diffusion well.However,the SpikeM model does not work well the multimodal patterns,and its assumption that each blogger blogs at most once about an event is inconsistent with the actual situation. Since most web users post about the same topics repeatedly,the authors assume that the number of users following a power law distribution.Then they analyze the characteristics of the topics from the dimension of the user behavior.Finally,they propose a new model(PTSDM)for interactive network based the assumption just mentioned,which is cable of fitting different kinds of hot topics.Meanwhile,the introduction of the pulse noise makes the model more in line with the reality. Two datasets are selected and comprehensive experiments are conducted.Experimental results show the effectiveness of the model built in this paper.关键词
建模/时间序列/热点话题/脉冲噪声Key words
modeling/time series/hot topics/pulse noise分类
信息技术与安全科学引用本文复制引用
郭瑞强,郭阿为,韩忠明,周萌,张伟..网络热点话题传播的脉冲时序行为动力模型[J].计算机工程与应用,2015,(16):121-129,9.基金项目
国家自然科学基金（No.61170112）；河北省教育厅自然科学基金项目（No.2007470，No.QN20131141）。 （）
