DocumentCode :
725921
Title :
Spread influence algorithm of news website based on PageRank
Author :
GuoWei Chen ; Fei Xie ; Tao Lei ; Yu Su
Author_Institution :
New Media Inst., Commun. Univ. of China, Beijing, China
fYear :
2015
fDate :
June 28 2015-July 1 2015
Firstpage :
593
Lastpage :
596
Abstract :
In order to measure the mainstream news sites spread influence of mass media, an efficient algorithm has been proposed in this paper. By introduction PageRank algorithm and dynamics of human behavior, the algorithm with website attention factor archive the goal of quantitative analysis of mainstream news sites spread influence. For illustration, an example close to the actual situation is utilized to show the effect of the news sites rank algorithm in solving problem with website attention factor. Experimental results show that the algorithm based on PageRank algorithm effectively reflecting the spread influence of the news site.
Keywords :
Web sites; information dissemination; PageRank algorithm; Website attention factor; human behavior; mainstream news sites; mass media; news Website; spread influence algorithm; Blogs; Computers; Correlation; algorithm; journalism; pagerank; spread influence;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer and Information Science (ICIS), 2015 IEEE/ACIS 14th International Conference on
Conference_Location :
Las Vegas, NV
Type :
conf
DOI :
10.1109/ICIS.2015.7166663
Filename :
7166663
Link To Document :
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