摘要
Popularity of blogs and the amount of information in the blogosphere increase so fast that it is difficult for Internet users to search the information they care about. Compared with conventional webs,links in the blogosphere are more abundant and conversations between bloggers are more fre-quent. 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 it can supply a new methodology for information retrieval in the blogosphere. To ensure the reliability of the ranking results,some evaluation indicators of the im-portant bloggers are proposed,and the grading results of bloggers using the proposed method is compared with that using other indicators. At last,correlation analysis is used to verify the consistency between the proposed method and the evaluation indicators.
Popularity of blogs and the amount of information in the blogosphere increase so fast that it is difficult for Internet users to search the information they care about. Compared with conventional webs, links in the blogosphere are more abundant and conversations between bloggers are more frequent. 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 it can supply a new methodology for information retrieval in the blogosphere. To ensure the reliability of the ranking results, some evaluation indicators of the important bloggers are proposed, and the grading results of bloggers using the proposed method is compared with that using other indicators. At last, correlation analysis is used to verify the consistency between the proposed method and the evaluation indicators.
基金
the National Natural Science Foundation of China (No.60435020, 60302021).
关键词
互联网
信息检索
关联分析
相关性
博客
Important blogger
Link analysis
Evaluation indicator
Correlation analysis