DocumentCode
235485
Title
Propagation regularity of hot topics in Sina Weibo based on SIR model — A simulation research
Author
Donghui Li ; Yuqing Zhang ; Xin Chen ; Long Cao
Author_Institution
China Univ. of Geosci., Beijing, China
fYear
2014
fDate
20-22 Oct. 2014
Firstpage
310
Lastpage
315
Abstract
Sina Weibo, as one of the most popular and fast growing social network, has gradually become the field where hot topics appear, propagate, and outbreak. In order to explore and find out the propagating regularity of hot topics on the platform of micro-blog, a novel approach based on a well-known epidemic model called SIR is proposed in this paper to understand and explain hot topics spreading dynamics, which takes the structure information and propagation characteristics of Sina Weibo into consideration. The event of flight MH370 vanished is being used to test the modified topic transmission model based on SIR. The experimental results show that the fitting degree between simulation results and the historical data is high and indicates that there is a high feasibility of this model to research on the propagating regularity of hot topics spreading on Sina Weibo.
Keywords
epidemics; information dissemination; social networking (online); SIR model; Sina Weibo; epidemic model; flight MH370; hot topics propagation regularity; hot topics spreading dynamics; microblog; social network; topic transmission model; Blogs; Data models; Nonhomogeneous media; Epidemic Model; Hot Topics; Propagating Regularity; SIR; Simulation; Sina Weibo;
fLanguage
English
Publisher
ieee
Conference_Titel
Computing, Communications and IT Applications Conference (ComComAp), 2014 IEEE
Conference_Location
Beijing
Print_ISBN
978-1-4799-4813-0
Type
conf
DOI
10.1109/ComComAp.2014.7017216
Filename
7017216
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