@Article{csse.2018.33.287,
AUTHOR = {Yuhui Wang},
TITLE = {Topic Evolution Analysis in Social Networking Services: Taking Sina Weibo as an Example},
JOURNAL = {Computer Systems Science and Engineering},
VOLUME = {33},
YEAR = {2018},
NUMBER = {4},
PAGES = {287--291},
URL = {http://www.techscience.com/csse/v33n4/39978},
ISSN = {},
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.},
DOI = {10.32604/csse.2018.33.287}
}