<par>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.</par>
%0 Journal Article
%1 kleinberg1999authoritative
%A Kleinberg, Jon M.
%C New York, NY, USA
%D 1999
%I ACM
%J J. ACM
%K 2012 citedBy:doerfel2012publication hits icfca ranking search web
%P 604--632
%R 10.1145/324133.324140
%T Authoritative sources in a hyperlinked environment
%U http://doi.acm.org/10.1145/324133.324140
%V 46
%X <par>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.</par>
@article{kleinberg1999authoritative,
abstract = {<par>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.</par>},
added-at = {2012-03-05T11:20:40.000+0100},
address = {New York, NY, USA},
author = {Kleinberg, Jon M.},
biburl = {https://www.bibsonomy.org/bibtex/216d697dadb4743613449792e72b434b7/kde},
doi = {10.1145/324133.324140},
interhash = {48a48add3cba613f07df1e9b56278b85},
intrahash = {16d697dadb4743613449792e72b434b7},
issn = {0004-5411},
journal = {J. ACM},
keywords = {2012 citedBy:doerfel2012publication hits icfca ranking search web},
month = {September},
pages = {604--632},
publisher = {ACM},
timestamp = {2012-03-05T11:25:04.000+0100},
title = {Authoritative sources in a hyperlinked environment},
url = {http://doi.acm.org/10.1145/324133.324140},
volume = 46,
year = 1999
}