Abstract: As the hot event includes a number of related topics in the development process, analyzing the evolution and propagate path in time-sequence of topics can deeper grasp the specific details of the emergence, development and demise of hot event. In this situation, a method of time series analysis of hot event based on association rules is proposed. Firstly, the frequent keyword sets of multiple time slices are obtained by implementing association rules in parallel. Secondly, the association rule sets are obtained by selecting all of association rule of frequent keyword sets, so as to get keyword sets of multiple topics. Finally, the evolution and propagation path of multiple topics are analyzed according to the keyword sets. Experiments show that the method can track the dynamic change process of hot events comprehensively and effectively, which provides reference and support for network public opinion on the monitoring and management.

Key words: association rules, topic evolution, topic propagation path, time series analysis