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Microblog Hot Event Detection Based on Restart Random Walk and Modularity

Abstract : Using traditional method to extract semantic relations between words hardly applied to micro-blog, which make finding hot event not sensitive. We propose a new method based on restart random walk and Modularity. The semantic relation between items is calculated by conducting the restart random walk iteratively on graph, and then the semantic correlation matrix is constructed. Next, the idea of Modularity is introduced to design algorithm for word clustering, which make a series of micro-blog hot events obtain. The experimental results show that our method has a higher accuracy compared with the kindred method, and hot events could be detected effectively.
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Submitted on : Tuesday, July 30, 2019 - 5:01:45 PM
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Xiaohong Li, Jiheng Gong, Yuyin Ma, Huifang Ma, Na Qin. Microblog Hot Event Detection Based on Restart Random Walk and Modularity. 10th International Conference on Intelligent Information Processing (IIP), Oct 2018, Nanning, China. pp.274-283, ⟨10.1007/978-3-030-00828-4_27⟩. ⟨hal-02197791⟩



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