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

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.

Keywords

Dynamic topic, social networking service, evolution analysis

Cite This Article

Y. Wang, "Topic evolution analysis in social networking services: taking sina weibo as an example," Computer Systems Science and Engineering, vol. 33, no.4, pp. 287–291, 2018.



This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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