[Purpose/significance] Exploring topical communities and sentiment fluctuations of Internet users and grasping the process of development of events have great significance to control the development direction of the events and lead guidance of the network public opinion in the new period. [Method/process] Based on the theory of complex networks, the study constructed sub event network based on co-occurrence relations among user comments, identifying topic community in sub-event commenting networks through community discovery algorithms and giving the attribute to emotion word according to the emotional dictionary. The study dynamically tracked the opinions and emotions of Internet users based on the evolution process of events. [Result/conclusion] The conclusion showed that the commenting network community discovery and coefficient of variation method can effectively measure the scale and concentration of Internet users' topic discussion; emotional word sentiment classification attribute method can reflect the emotional changes of Internet users in the process of event evolution; the derived topic of public opinion has a continuous influence on the development of the event public opinion; the content of the topic discussion of Internet users has some foresight to the evolution of the event.
Zhang Haitao
,
Liu Yashu
,
Zhang Xiaohui
,
Song Tong
. Research on Topic Discovery Based on Modularity and Sentiment Fluctuation of Internet Users——Taking Sina Weibo's “China-US Trade Friction” as an Example[J]. Library and Information Service, 2019
, 63(4)
: 6
-14
.
DOI: 10.13266/j.issn.0252-3116.2019.04.001
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