Authoritative sources in a hyperlinked environment

• Jon M. Kleinberg

  Cornell Univ., Ithaca, NY

抄録

The network structure of a hyperlinked environment can be a rich source of information about the content of the environment, provided we have effective means for understanding it. We develop a set of algorithmic tools for extracting information from the link structures of such environments, and report on experiments that demonstrate their effectiveness in a variety of context on the World Wide Web. The central issue we address within our framework is the distillation of broad search topics, through the discovery of “authorative” information sources on such topics. We propose and test an algorithmic formulation of the notion of authority, based on the relationship between a set of relevant authoritative pages and the set of “hub pages” that join them together in the link structure. Our formulation has connections to the eigenvectors of certain matrices associated with the link graph; these connections in turn motivate additional heuristrics for link-based analysis.

収録刊行物

• Journal of the ACM

  Journal of the ACM 46 (5), 604-632, 1999-09

  Association for Computing Machinery (ACM)

キーワード

• Artificial Intelligence
• Hardware and Architecture
• Information Systems
• Control and Systems Engineering
• Software

詳細情報

• CRID: 1363388845908649088
• NII論文ID: 80011536813
• DOI: 10.1145/324133.324140
• ISSN: 1557735X
• ISSN: 00045411
• Web Site: https://dl.acm.org/doi/pdf/10.1145/324133.324140
• データソース種別:
  • Crossref
  • CiNii Articles