针对现有Web社会关系评估方法准确率较低的问题,提出一种结合网页与语句共现的Web社会关系评估方法.根据人名对在Web中的网页共现和页面内语句共现情况,综合评估2个人之间社会关系的强弱,设计相应的关系评估函数.实验结果表明,该评估方法能准确地度量Web社会关系的强弱,并且在度量关系权重时,语句共现比网页共现对评估结果的准确性起到更重要的决定作用.%As there are several problems for existing Web social relation evaluation methods whose accurate is not high and have poor stability, this paper proposes a Web social relation evaluation method based on both Web page co-occurrence and intra-page sentence co-occurrence. The method assigns weights to the relation between two persons by information about their names co-occurrence in Web pages and co-occurrence in sentences of Web pages. And two weighting functions are designed based on the proposed method. Experimental results show that the method can assign more appropriate weights to relations in Web social networks and the stability of the method is better, and statement co-occur is more important decision function than web co-occur when metric relations weight.
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