关键词: 微博用户, 乘支持向量机, 传播影响力, 用户行为, 影响覆盖率

Abstract: Information diffusion and influence modeling are hot topics in micro-blog research, in order to improve measure precision of micro-blog spreading influence, a novel measuring algorithm of micro-blog spreading influence is proposed in this paper. The retweet, comment, mention are analyzed, and then the data are input to least squares support vector machine to obtain weight values, and establish spreading influence measure model, the simulation experiment is carried out to test the model performance. The simulation results show that, compared with other measure algorithms, the proposed algorithm not only improves the measure precision accuracy of micro-log spreading influence, but also can be more accurately portray various user behavior on spreading influence.

Key words: micro-blog users, least squares support vector machine, spreading influence, user behavior, effect coverage rate