Open Access

ARTICLE

Topic Evolution Analysis in Social Networking Services: Taking Sina Weibo as an Example

by Yuhui Wang

Department of Electronics and Information Engineering Huazhong University of Science and Technology Wuhan, China. E-mail: 18601240913@126.com

Computer Systems Science and Engineering 2018, 33(4), 287-291. https://doi.org/10.32604/csse.2018.33.287

Abstract

Event-related topics in social networking services are always the epitome of heated society issues, therefore determining the significance of analyzing its evolution patterns. In this paper, we present a comprehensive survey on the tweets about "ransomware" in Sina Weibo, a famous social networking service similar to twitter in China. The keyword corresponds to a global ransomware attack in May 2017, on which our example event-related topics are based. We collect text data from sina Weibo and vectorize each tweets, before using a dynamic topic model to discover the event-related topics. The results of the topic model are explainable enough and help us to understand the evolution of those topics more thoroughly.

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Keywords

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