计算机应用与软件2017，Vol.34Issue(7)：212-216,261,6.DOI:10.3969/j.issn.1000-386x.2017.07.039
一种新的微博社区用户影响力评估算法
A NEW ASSESSMENT ALGORITHM ON INFLUENCE OF USERS IN MICROBLOG COMMUNITY
摘要
Abstract
In recent years, Microblog users made contributions to the dissemination of information by virtue of its own influence in the microblog community, especially active users could spread information widely.In order to improve the accuracy of measuring the influence of users in microblog community, an improved influence algorithm based on traditional PageRank algorithm and user interactions (IUIR algorithm) is proposed.This algorithm created the final quality index of users through direct and indirect mass index, combining with the recent user activity to construct user influence assessment formula.Through the experimental analysis on the Sina microblog data collection to compare this proposed algorithm with the traditional PageRank algorithm, the results indicate that the algorithm could reflect the users' influence ranking more accurately.关键词
微博社区/用户影响力/用户质量指数/近期活跃度/PageRank算法Key words
Micro blog community/ Influence of users/ Users mass index/ Recent user activity/ PageRank algorithm分类
信息技术与安全科学引用本文复制引用
刘玲,杨长春..一种新的微博社区用户影响力评估算法[J].计算机应用与软件,2017,34(7):212-216,261,6.基金项目
国家自然科学基金项目(61272367) （61272367）
江苏省产学研前瞻性联合研究项目(BY2014037-08). （BY2014037-08）
