Proceedings of the 9th international World Wide Web conference on Computer networks : the international journal of computer and telecommunications netowrking
Creating a Web community chart for navigating related communities
Proceedings of the 12th ACM conference on Hypertext and Hypermedia
Who Links to Whom: Mining Linkage between Web Sites
ICDM '01 Proceedings of the 2001 IEEE International Conference on Data Mining
Finding Thai Web Pages in Foreign Web Spaces
ICDEW '06 Proceedings of the 22nd International Conference on Data Engineering Workshops
The Web as a graph: How far we are
ACM Transactions on Internet Technology (TOIT)
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
Graph structure of the Korea web
DASFAA'07 Proceedings of the 12th international conference on Database systems for advanced applications
China web graph measurements and evolution
APWeb'05 Proceedings of the 7th Asia-Pacific web conference on Web Technologies Research and Development
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The Web of a country or the national Web is a set of web pages related to a specific country. Understanding in the graph structure of the national Web provides invaluable insights for the development of algorithms and localized search services targeting for a specific country. Many empirical studies on the graph structure of the national Webs have been done at the level of individual web pages. However, in reality, the Web information is being organized into a hierarchically nested structure, called a domain name system. The domain name based hierarchical structure adds the intermediate levels of entities and administrative control to the Web. To better understand the characteristics and ecology of the national Web, it is necessary to also understand its graph structure at a more abstract level. In this paper we put our attention to the graph structure of the Web at the level of interconnection between hosts in the Thai Web. The hostgraph is a directed graph with a node corresponding to a host and a directed weighted edge corresponding to the number of links between a pair of hosts. We report various graphical properties of the Thai hostgraph based on a snapshot of the Thai Web obtained in January 2007. For each empirical result, we carefully interpret its implications and discuss how to put it into practical use. We also give an example application of the hostgraph i.e. mining web community from the Thai hostgraph.