Title :
Improving Link Analysis through Considering Hosts and Blocks
Author :
Wang, Qiang ; Liu, Yan ; Luo, JunYong ; Ning, Jing ; Yao, Qing
Author_Institution :
Inf. Eng. Inst., Inf. Eng. Univ.
Abstract :
Link analysis has shown great potential in Web structure mining. Most existing link analysis methods treat a Web page as a node, a hyperlink as an edge in the Web graph. However, in reality, a Web page´s importance is also affected by its semantic factor, the structure of WWW, and other factors. Therefore, traditional link analysis methods may not be so precise in reality. It is observed that the WWW has three layers: host layer, Web page layer and host layer. Based on this concept, it is considered merging the host-page relationship and the page-block relationship to improve the result of link analysis. Experiment results demonstrate the effectiveness of our approach
Keywords :
Internet; data mining; Web graph; Web page; Web page layer; Web structure mining; host layer; host-page relationship; link analysis; page-block relationship; Algorithm design and analysis; Information analysis; Information retrieval; Linear algebra; Mathematics; Measurement standards; Merging; Navigation; Web pages; World Wide Web;
Conference_Titel :
Web Intelligence, 2006. WI 2006. IEEE/WIC/ACM International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
0-7695-2747-7