Identification of Clusters in the Web Graph Based on Link Topology

Abstract

The web graph has recently been used to model the link structure of the Web. The studies of such graphs can yield valuable insights into web algorithms for crawling, searching and discovery of web communities. This paper proposes a new approach to clustering the Web graph. The proposed algorithm identifies a small subset of the graph as "core" members of… (More)
DOI: 10.1109/IDEAS.2003.1214919

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