网络舆情演化模式分析

网络舆情演化分析已成为网络舆情研究的热点内容.文章使用描述网民发帖过程的时间序列来表征网络舆情的演化过程,使用时间序列的分析方法来探索网络舆情的演化规律,构建了6个网络舆情演化模式,包括分布模式、平稳模式、相关模式、自相似模式、周期模式和趋势模式,并给出了相应的模式分析方法.实验表明,构建的网络舆情演化模式能够有效地表征网络舆情演化过程,有助于更深层次地分析网络舆情演化规律,为后续演化建模提供理论基础.

Pattern Analysis of Internet Public Opinions Evolution

Analysis of Internet public opinions evolution has become a hot topic in recent years. Time series which describe the process of the netizen＇ s posting can be utilized to represent the evolution of Internet public opinions. With the analysis methods of time series to explore the evolution patterns of Internet public opinions, this paper constructs 6 patterns, including distributional pattern, stationary pattern, correlative pattern, self-similar pattern, periodic pattern and trend pattern. Techniques to realize these patterns are also discussed. The experimental results show that the patterns in this paper can express the evolution of Internet public opinions effectively, and provide theoretical basis for evolution modeling.