Graph structure of the Korea web

Authors:
In Kyu Han;Sang Ho Lee;Soowon Lee
Affiliations:
School of Computing, Soongsil University, Korea;School of Computing, Soongsil University, Korea;School of Computing, Soongsil University, Korea
Venue:
DASFAA'07 Proceedings of the 12th international conference on Database systems for advanced applications
Year:
2007

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Abstract

The study of the Web graph not only yields valuable insight into Web algorithms for crawling, searching and community discovery, and the sociological phenomena that characterize its evolution, but also helps us understand the evolution process of the Web. In this paper, we report the experiments on properties of the Korea Web graph with over 116 million pages and 2.7 billion links. This paper presents the power law distributions from the Korea Web and then compares them with other web graphs. Our analysis reveals that the Korea Web graph has different properties in comparison with the other graphs in terms of the structure of the Web.