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
Link To Document :
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