EVALUATION OF MICROBLOG USER INFLUENCE: MODEL AND MUIRANK ALGORITHM
This paper first introduces the concept of microblog influence, then introduces the principle of PageRank algorithm and problems existing in microblog user influence evaluation, to solve these problems, we puts forward an improved PageRank algorithm to evaluate microblog users influence.This article built a new model to assess the influence of users, from three dimensions: activity, propagation and attention.Each dimension contains several index established by AHP.Based on the new model , we improved PageRank algorithm improves traditional PageRank algorithm by introducing attention model.It effectively solves the average distribution value problems in traditional PageRank algorithm, the improved PageRank algorithm is applied to the Sina microblog users for the evaluation of influence, the ranking results can be more objective and reasonable.
Microblog Attention User Influence MUIRank Algorithm
Yang Jiang Qiang Wang
School of Economics and Management, Beihang University, Beijing 100191, China
国际会议
The 12th International Conference on Industrial Management(第十二届工业管理国际会议)
成都
英文
260-265
2014-09-03(万方平台首次上网日期,不代表论文的发表时间)