Abstract:

The research on the Internet hirelings accounts in Weibo contributes to purify cyberspace and maintain social stability. First of all, in view of the continuous evolution of the Internet hirelings in Weibo, the traditional feature set cannot cover the existing features of it. Therefore, the new features are constructed combined with the definition of the Internet hirelings and its original features. Then, in view of the difficulty of account annotation and the insufficient utilization of no annotation data, a semi-supervised recognition method of the Internet hirelings in Weibo (APDHW) is proposed, based on Affinity Propagation arithmetic. In this method, the recognition of the Internet hirelings in Weibo can be implemented through bringing Euclidean distance Radius threshold in Affinity Propagation arithmetic and combining support vector machine classification arithmetic. Through a number of experiments and empirical research, the results show that the recognition method of the Internet hirelings in Weibo proposed in this paper achieves a better recognition effect under the expense of a small amount of arithmetic time, and improves the accuracy and recall rate of the Internet hirelings recognition.

Key words: Internet hirelings of Weibo, affinity propagation, semi-supervised learning, Internet hirelings detection