Abstract: Aiming at the precise identification of data seeds under big data,we analyzed two major factors which impact users to become seeds users:time priority and attribute characteristics,and two characteristics of the dissemination of seed information:propagation time difference and directionality.Accordingly,we proposed a method to quickly find the seed users.First,users are put into different groups by the property features.Through analyzing the time difference and SMS circulation among all groups,we can find out the dissemination of information flow,that is to say,direction.Thus the search range is gradually narrowed,and alternative seed is filtered through threshold.We established evaluation model tree,designed seed users evaluation system,and used this evaluation system to calculate the final score to find out the seed users.

Key words: Big data,Seed user,Information flow,Information flow density,Tree network evaluation model