DocumentCode :
2316196
Title :
Propagation of online news: Dynamic patterns
Author :
Wang, Youzhong ; Zeng, Daniel ; Zheng, Xiaolong ; Wang, Feiyue
Author_Institution :
Key Lab. of Complex Syst. & Intell. Sci., Chinese Acad. of Sci., Beijing, China
fYear :
2009
fDate :
8-11 June 2009
Firstpage :
257
Lastpage :
259
Abstract :
A large portion of online news articles and postings are not originally created but reprinted or re-posted from other online news sources or portals. In this paper, we analyze the dynamics of online news propagation, using a large collection of Chinese online news activity data. We characterize prominent features of online news diffusion and compare them against the spreading patterns of the epidemic. Several critical factors influencing the news propagation process are identified, including the centrality and selectivity of source portals, and event variability.
Keywords :
portals; Chinese online news activity data; dynamic patterns; online news articles; online news diffusion; online news portals; online news propagation; online news sources; Automation; Complex networks; Context; Diffusion processes; Environmental factors; Intelligent systems; Laboratories; Portals; Production; Social network services; complex networks; online news propagation; social meida;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligence and Security Informatics, 2009. ISI '09. IEEE International Conference on
Conference_Location :
Dallas, TX
Print_ISBN :
978-1-4244-4171-6
Electronic_ISBN :
978-1-4244-4173-0
Type :
conf
DOI :
10.1109/ISI.2009.5137321
Filename :
5137321
Link To Document :
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