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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.

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Cite This Article

APA Style
Wang, Y. (2018). Topic evolution analysis in social networking services: taking sina weibo as an example. Computer Systems Science and Engineering, 33(4), 287-291. https://doi.org/10.32604/csse.2018.33.287
Vancouver Style
Wang Y. Topic evolution analysis in social networking services: taking sina weibo as an example. Comput Syst Sci Eng. 2018;33(4):287-291 https://doi.org/10.32604/csse.2018.33.287
IEEE Style
Y. Wang, “Topic Evolution Analysis in Social Networking Services: Taking Sina Weibo as an Example,” Comput. Syst. Sci. Eng., vol. 33, no. 4, pp. 287-291, 2018. https://doi.org/10.32604/csse.2018.33.287



cc Copyright © 2018 The Author(s). Published by Tech Science Press.
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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