Authoritative sources in a hyperlinked environment
Proceedings of the ninth annual ACM-SIAM symposium on Discrete algorithms
Measuring similarity of interests for clustering web-users
ADC '01 Proceedings of the 12th Australasian database conference
Link Based Clustering of Web Search Results
WAIM '01 Proceedings of the Second International Conference on Advances in Web-Age Information Management
Vizster: Visualizing Online Social Networks
INFOVIS '05 Proceedings of the Proceedings of the 2005 IEEE Symposium on Information Visualization
Method for drawing intersecting clustered graphs and its application to web ontology language
APVis '06 Proceedings of the 2006 Asia-Pacific Symposium on Information Visualisation - Volume 60
Clustering graphs for visualization via node similarities
Journal of Visual Languages and Computing
Proceedings of Graphics Interface 2010
Finding keywords in blogs: Efficient keyword extraction in blog mining via user behaviors
Expert Systems with Applications: An International Journal
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Lots of people now have their own blogs or they publish comments, news in a public blog, even some companies publish their own blogs in order to introduce the services and products. However, there are many potential relationships inside the blogsphere. In this paper, we propose a novel method to cluster and visualize blogs to give a clear view of the blogsphere, and also provide an easy way to explore it. Using this method, people could easily find the interested blogs and can maintain the mental map when searching certain blog pages. Compare to other graph display for blogs, our approach can identify different groups based on topics, such as star, movie and music,also we give an interface to navigate the blogs. The method could also be applied to other areas, for instance social network, paper co-citation.