Research on Ranking of Micro-blog Users′Influence Based on Improved PageRank Algorithm
DING Wenxue
XU Jiaxing
ZHU Haodong
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 .
Keywords：PageRank algorithmtime factortopic similarityranking of users′influence
Publication Date：2016-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：5( 256-260 )