基于链接分析的重要Blog信息源发现  

Discovering Important Bloggers Based on Link Analysis Title

作　　者：杨宇航[1] 赵铁军[1] 郑德权[1] 于浩[1] 

机构地区：[1]哈尔滨工业大学教育部-微软语言语音重点实验室,黑龙江哈尔滨150001

出　　处：《中文信息学报》2007年第5期68-72,共5页Journal of Chinese Information Processing

基　　金：国家自然科学基金资助项目(60302021;60373101)

摘　　要：本文提出了一种基于链接分析的对Blog信息源进行量化评估的方法,在此基础之上发现重要Blog信息源,既体现了Blog信息的特点,又在一定程度上减小了作弊链接对链接分析结果的影响,能为用户阅读信息提供方便,并可望为Blog信息检索提供一种新的思路。为了证明该评估方法的有效性,本文还提出了Blog信息源重要性的评价指标,对比了重要Blog信息源量化评估方法和评价指标的评分结果,通过相关性分析,表明此方法和评价指标存在高度的一致性。This paper proposes a method of ranking bloggers based on link analysis, which can exemplify the characteristics of blogs and reduce the influence of link spamming. This method can also bring convenience to users to read blogs and supply a new methodology for information retrieval in the blogosphere. To ensure the reliability of the ranking results, some evaluation indicators for the importance of bloggers are given, and the grading result of bloggers using the proposed method is compared with those using these indicators. At last, correlation analysis shows consistency between the proposed method and the evaluation indicators.

关 键 词：计算机应用 中文信息处理 重要Blog信息源 链接分析 评价指标 相关性分析 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]