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