Research on Dissemination Behavior Characteristics Analysis and Influence Judgment Methods Based on Followers'Contribution Quantification
By analyzing video forwarding data from short video websites,this paper proposes a method to assess and calculate the individual influence of users,conductes a statistical experiment on the forwarding characteristics of ac-tive user groups,which is of great significance for analyzing e-commerce user behavior and social public opinion dissemination.The results reveal that there is virtually no correlation between the number of fans and followers of individuals with high or low influence;When the influence reaches a certain threshold,there is a strong correlation between the number of fans and followers;Users with high influence generally exhibit a lower frequency of for-warding the same short video,yet their distribution of forwarding targets tends to be more diverse.The frequency of interaction with fans differs based on the needs of individual verified celebrity users,businesses,media organizations,and other verified entities.When short videos form a trend of widespread dissemination,the number of forwards is very close to the number of comments,or even significantly surpasses it,while there is no significant correlation be-tween the number of replies to comments and personal influence.
万方数据
维普
