Spread Influence Algorithm of News Website Based on PageRank

被引：0
|
作者：
Chen, GuoWei [1 ]
Xie, Fei [2 ]
Lei, Tao [3 ]
Su, Yu [2 ]
机构：
[1] Commun Univ China, New Media Inst, Beijing, Peoples R China
[2] Xinhua News Agcy, Commun & Technol Bur, Beijing, Peoples R China
[3] Commun Univ China, Sch Comp Sci, Beijing, Peoples R China
来源：
2015 IEEE/ACIS 14TH INTERNATIONAL CONFERENCE ON COMPUTER AND INFORMATION SCIENCE (ICIS) | 2015年
关键词：
journalism; spread influence; algorithm; pagerank; FIRE-SPREAD; BEHAVIOR;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
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.
引用
收藏
页码：593 / 596
页数：4
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