ACM Home Page
Please provide us with feedback. Feedback
Finding authorities and hubs from link structures on the World Wide Web
Full text PdfPdf (269 KB)
Source International World Wide Web Conference archive
Proceedings of the 10th international conference on World Wide Web table of contents
Hong Kong, Hong Kong
Pages: 415 - 429  
Year of Publication: 2001
ISBN:1-58113-348-0
Authors
Allan Borodin  Department of Computer Science, University of Toronto, Toronto, Ontario, Canada M5S 3G4 and Gammasite, Hertzilya, Israel
Gareth O. Roberts  Department of Mathematics and Statistics, Lancaster, University, Lancaster, U.K. LA1 4YF
Jeffrey S. Rosenthal  Department of Statistics, University of Toronto, Toronto, Ontario, Canada M5S 3G3
Panayiotis Tsaparas  Department of Computer Science, University of Toronto, Toronto, Ontario, Canada M5S 3G4
Sponsors
SIGWEB: ACM Special Interest Group on Hypertext, Hypermedia, and Web
SIGLINK: Hypertext, Hypermedia, and Web
IW3C2 : International World Wide Web Conference Committee
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 6,   Downloads (12 Months): 76,   Citation Count: 36
Additional Information:

references   cited by   index terms   collaborative colleagues  

Tools and Actions: Review this Article  
DOI Bookmark: Use this link to bookmark this Article: http://doi.acm.org/10.1145/371920.372096
What is a DOI?

REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
AltaVista Company.AltaVista search engine. http://www.altavista.com .
 
2
J.M.Bernardo and A.F.M.Smith.Bayesian Theory.. John Wiley &Sons,Chichester,England,1994.
 
3
 
4
D.Cohn and H.Chang.Learning to probabilistically identify authoritative documents.Preprint,2000.
 
5
A.Dempster,N.Laird,and D.Rubin.Maximum likelihood from incomplete data via the EM algorithm.Journal of the Royal Statistical Society, Series B 39:1 -38,1977.
 
6
W.R.Gilks,S.Richardson,and D.J.Spiegelhalter. Markov Chain Monte Carlo in practice.. Chapman and Hall,London,1996.
 
7
Google.Google search engine. http://www.google.com .
8
 
9
 
10
 
11
 
12
G.O.Roberts and J.S.Rosenthal.Markov chain Monte Carlo:Some practical implications of theoretical results (with discussion).Canadian Journal of Statistics 26:5 -31,1998.
 
13
A.F.M.Smith and G.O.Roberts.Bayesian computation via the Gibbs sampler and related Markov chain Monte Carlo methods (with discussion). Journal of the Royal Statistical Society, Series B 55:3 -24,1993.
 
14
L.Tierney.Markov chains for exploring posterior distributions (with discussion).Annals of Statistics 22:1701 -1762,1994.

CITED BY  36

Collaborative Colleagues:
Allan Borodin: colleagues
Gareth O. Roberts: colleagues
Jeffrey S. Rosenthal: colleagues
Panayiotis Tsaparas: colleagues