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.
[1]
Sergey Brin,et al.
The Anatomy of a Large-Scale Hypertextual Web Search Engine
,
1998,
Comput. Networks.
[2]
Jon M. Kleinberg,et al.
Automatic Resource Compilation by Analyzing Hyperlink Structure and Associated Text
,
1998,
Comput. Networks.
[3]
Gilad Mishne,et al.
Blocking Blog Spam with Language Model Disagreement
,
2005,
AIRWeb.
[4]
Jun'ichi Tatemura,et al.
Discovering Important Bloggers based on Analyzing Blog Threads
,
2005
.
[5]
Eytan Adar,et al.
Implicit Structure and the Dynamics of Blogspace
,
2004
.
[6]
B. Tseng,et al.
Tomographic Clustering To Visualize Blog Communities as Mountain Views
,
2005
.
[7]
Ko Fujimura,et al.
The EigenRumor Algorithm for Ranking Blogs
,
2005
.
[8]
Jon Kleinberg,et al.
Authoritative sources in a hyperlinked environment
,
1998,
SODA '98.