Abstract: With the deepening of Weibo research, credibility evaluation of Weibo users has become a research hotspot. Aiming at the problem of Weibo users' credibility evaluation, a user confidence analysis method based on association was proposed. Taking Sina Weibo as the research object, firstly, seven characteristics of the user from three aspects: user information, interactive information and behavior information were analyzed, and the user self-evaluation credibility was got by using Analytic Hierarchy Process (AHP). Then, by using the user self-evaluation as the base point, the user relationship network as the carrier, and the potential users' evaluation relationship among the users, was improved the PageRank algorithm, and the user credibility evaluation model called User-Rank was proposed. The proposed model was used to evaluate comprehensively credibility of users by other users in relational network. Experiments on large scale Weibo real data show that the proposed method can obtain good evaluation results of user credibility.

Key words: user self-evaluation, relationship network, user credibility, user relationships, Analytic Hierarchy Process (AHP), PageRank

摘要： 随着微博研究的深入，对微博用户可信度的评价成为一个研究热点。针对微博用户可信度评价的问题，提出了一种基于关联关系的用户可信度分析方法。以新浪微博为研究对象，首先从用户的资料信息、交互信息和行为信息三个方面出发，分析了用户的7个相关特征，利用层次分析法（AHP），进而得到用户自评价可信度；然后以用户自评价作为基点，以用户关系网络作为载体，结合用户之间潜在的用户互评关系，通过改进PageRank算法，提出了用户可信度评价模型User-Rank，进而，利用关系网络中其他用户对待分析用户的可信度进行综合评价。大规模的微博真实数据的实验表明，所提方法能够取得良好的用户可信度评价效果。

关键词: 用户自评价, 关系网络, 用户可信度, 用户关联关系, 层次分析法, PageRank