针对信息生产力的微博用户分类

Classification of microblog user for information productivity

该文研究用户分类对微博信息生产力的影响。首先通过用户发布微博的数量将用户分类,将微博的转发次数、评论次数与赞次数等作为微博的影响力大小判定因素,然后根据微博用户所发微博的平均影响力分析各类用户中用户影响力的分布情况,结合营销模型,以便增强用户在微博平台上的生产力。

The impact of classification of users on information productivity of microblog is studied Users are classified based on the number of microblogs he or she has released. The frequency of forwarding, commenting and praising of microblog are taken into account respectively as determiners of one＇ s influence. Then the distribution of all types of users is analyzed according to the average impact of one＇ s microblogging, combined with the marketing model, to enhance user productivity on the microblog platform.