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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 contexts on the World Wide Web. The central issue we address within our framework is the distillation of broad search topics,...</swrc:abstract><swrc:hasExtraField><swrc:Field swrc:value="1115" swrc:key="id"/></swrc:hasExtraField><swrc:hasExtraField><swrc:Field swrc:value="1" swrc:key="priority"/></swrc:hasExtraField><swrc:hasExtraField><swrc:Field swrc:value="HITS algorithm" swrc:key="comment"/></swrc:hasExtraField><swrc:author><rdf:Seq><rdf:_1><swrc:Person swrc:name="Jon M. 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