计算机工程2017，Vol.43Issue(12)：155-159,5.DOI:10.3969/j.issn.1000-3428.2017.12.029
基于用户行为的改进PageRank影响力算法
Improved PageRank Influence Algorithm Based on User Behavior
摘要
Abstract
In the calculation of user influence,the PageRank algorithm considers only the following relation among users,which leads to the low accuracy of the calculation results.Therefore,a URank algorithm combining user behavior factors with PageRank algorithm is proposed.By using the factors such as forwarding rate,comment rate and authentication,the user's quality can be obtained by combining the quality of users and the quality of followers.Experimental results show that based on the SIR propagation model,URank algorithm is superior to PageRank algorithm in computational accuracy.关键词
社交网络/用户影响力/PageRank算法/用户行为/传播模型Key words
social network/user influence/PageRank algorithm/user behavior/propagation model分类
信息技术与安全科学引用本文复制引用
王鹏,汪振,李松江,赵建平..基于用户行为的改进PageRank影响力算法[J].计算机工程,2017,43(12):155-159,5.基金项目
吉林省科技发展计划重点科技攻关项目(20150204036GX). （20150204036GX）
