湖北民族学院学报（自然科学版）2016，Vol.34Issue(3)：256-260,5.DOI:10.13501/j.cnki.42-1569/n.2016.09.004
基于改进 PageRank算法的微博用户影响力排序研究
Research on Ranking of Micro-blog Users′Influence Based on Improved PageRank Algorithm
摘要
Abstract
Aiming at the shortcomings of the traditional PageRank algorithm ,a kind of ranking method based on improved algorithm(TSPR) was proposed.In this algorithm, the time factor is used as the scale, the TF-IDF method is used to calculate the similarity between web pages ,and the variation of the similar-ity between the users in a certain period of time is analyzed .By calculating the PR value of the Web page , micro-blog users′influence is ranked .The simulation results show that the proposed algorithm can im-prove the ranking effect of micro-blog users and enhance the quality and accuracy of the search .关键词
PageRank算法/时间因子/主题相似度/用户影响力排序Key words
PageRank algorithm/time factor/topic similarity/ranking of users′influence分类
信息技术与安全科学引用本文复制引用
丁温雪,徐家兴,朱颢东..基于改进 PageRank算法的微博用户影响力排序研究[J].湖北民族学院学报（自然科学版）,2016,34(3):256-260,5.基金项目
国家自然科学基金项目（61201447）． （）
