Design and implementation of a microblogging user impact evaluation algorithm based on MapReduce architecture

Design and implementation of a microblogging user impact evaluation algorithm based on MapReduce architecture

Fang Bin Li Aiping

With the rapid development of the Internet and the advent of the Web2.0 era, Weibo users are growing at an alarming rate. Sina Weibo is based on the number of fans as the basis for user rankings, in the zombie powder and a large number of low usage rate accounts, under the influence of This simple ranking is difficult to characterize the user's influence. This paper takes the massive Sina Weibo data as the analysis object, constructs the microblogging user's influence evaluation model on the distributed system. This article mainly uses the microblogging users ' forwarding network to compute the microblog influence of the Weibo users, and then calculates the potential influence of the microblog users by using the concern relation. Finally, the evaluation model of the users ' influence is synthesized. The experiment and analysis show that this method can effectively reflect the real influence of Weibo users in the microblogging service, and it is suitable for measuring the influence of Weibo users.

Design and implementation of a microblogging user impact evaluation algorithm based on MapReduce architecture