Network platform popularity information prediction method, system and terminal based on user activeness

The invention discloses a network platform popularity information prediction method, system and terminal based on user activeness, and relates to the technical field of network space cognition. Determining the activity degree information of the user side tracking account by using the constructed network platform popularity influence element database based on the user activity degree; and integrating platform popularity influence elements of a network platform popularity influence element database, and combining the determined activity degree information to construct a target function of network platform popularity value calculation based on the user activity degree. According to the method, two methods and two platform popularity calculation methods are compared to obtain the same ranking, namely, the LD popularity is the highest, and the second DC platform, the third BK platform and the final GD platform accord with expert experience values; the platform popularity calculation method based on the user active