The network structure of a hyperlinked environment can be a rich source of
information about the content of the environment, provided we have effectiv
e means for understanding it. We develop a set of algorithmic tools for ext
racting information from the link structures of such environments, and repo
rt on experiments that demonstrate their effectiveness. in a variety of con
texts on the World Wide Web. The central issue we address within our framew
ork is the distillation of broad search topics, through the discovery of "a
uthoritative" information sources on such topics. We propose and test an al
gorithmic formulation of the notion of authority, based on the relationship
between a set of relevant authoritative pages and the set of "hub pages" t
hat join them together in the link structure. Our formulation has connectio
ns to the eigenvectors of certain matrices associated with the link graph;
these connections in turn motivate additional heuristics for link-based ana
lysis.