Abstract:
A user connection evaluation model is presented in this paper for party members to improve the accuracy of the classic evaluation algorithm running on the integrated service platform for the grass-roots party construction of yunnan province. Firstly, an optimization algorithm is designed for this platform, in which the user's microblog text, location, friends, interactions and background are taken into account. Then the overall similarity of the similarities of the above five dimensions is calculated by using the maximum likelihood estimation, and the proposed evaluation model is obtained. Finally, the real data on the platform is used to verify the performances. The results show that the accuracy,recall and
F1 value of the suggested model are higher than those of network distance and content, the similarity algorithm based on Microblog.