DocumentCode :
1827362
Title :
A new rumor propagation model and control strategy on social networks
Author :
Yuanyuan Bao ; Chengqi Yi ; Yibo Xue ; Yingfei Dong
Author_Institution :
Tsinghua Nat. Lab. for Inf. Sci. & Technol., Tsinghua Univ., Beijing, China
fYear :
2013
fDate :
25-28 Aug. 2013
Firstpage :
1472
Lastpage :
1473
Abstract :
In this paper, we propose a new SPNR model and identify the concrete propagation relationships and obtain the spreading threshold. We evaluate the proposed model with simulations and compare the simulation results with real data on Sina Weibo, the largest micro-blogging tool in China. The results show that the new model is effective for capturing the rumor spreading in real social networks. To obtain effective rumor control strategy, we further analyze the key factors that affect the maximum value of steady state, the point of decline, and the life cycle of a rumor. These results help us develop new rumor control strategies.
Keywords :
social aspects of automation; social networking (online); SPNR model; Sina Weibo; microblogging tool; propagation relationships; rumor control strategy; rumor propagation model; social networks; spreading threshold; information diffusion; rumor control; rumor dynamic; rumor propagation; social networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advances in Social Networks Analysis and Mining (ASONAM), 2013 IEEE/ACM International Conference on
Conference_Location :
Niagara Falls, ON
Type :
conf
Filename :
6785909
Link To Document :
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