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HAWK: A Focused Crawler with Content and Link Analysis

Authors: Xin Zhang; Xiaoyun Chen;

HAWK: A Focused Crawler with Content and Link Analysis

Abstract

Maintaining currency of search engine indices by exhaustive crawling is rapidly becoming impossible due to the increasing size of the web. Focused crawlers aim to search only the subset of the web related to a specific topic, and offer a potential solution to the problem. But it also has problems. The major problem is how to retrieve the maximal set of relevant and quality pages. To address this problem we design a focused crawler (we call it HAWK) that not only uses content of web page to improve page relevance, but also uses link structure to improve the coverage of a specific topic.

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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
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Found an issue? Give us feedback
citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
25
Top 10%
Top 10%
Top 10%
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