@inproceedings{3428407f6769486ea851626da2f2d413,
title = "How contents influence clustering features in the web",
abstract = "In World Wide Web, contents of web documents play important roles in the evolution process because of their effects on linking preference. A majority of topological properties are content-related, and among them the clustering features are sensitive to contents of Web documents. In this paper, we first observe the impacts of content similarity on web links by introducing a metric called Linkage Probability. Then we investigate how contents influence the formation mechanism of the most basic cluster, triangle, with a metric named Triangularization Probability. Experimental results indicate that content similarity has a positive function in the process of cluster formation in the Web. Theoretical analysis predicts the contents influence on the clustering features in the Web very well.",
author = "Cheng Xueqi and Ren Fuxin and Cao Xianbin and Ma Jing",
year = "2007",
doi = "10.1109/WI.2007.64",
language = "英语",
isbn = "0769530265",
series = "Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence, WI 2007",
pages = "81--84",
booktitle = "Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence, WI 2007",
note = "IEEE/WIC/ACM International Conference on Web Intelligence, WI 2007 ; Conference date: 02-11-2007 Through 05-11-2007",
}