Web Structure Mining
Web Structure Mining is a subfield of Web Mining that analyzes the hyperlink structure of the web to extract information about the relationships and organizational patterns among web pages, distinguishing it from other web mining types by focusing on topological and structural attributes rather than content or usage data.
376
Publications
25K
Citations
860
Authors
362
Institutions
Publications per year
2017–2026
30
Parents
376
Andrei Broder, Ravi Kumar, Farzin Maghoul et al. · Computer Networks · 2000 · 2.8K citations
Raymond Kosala, Hendrik Blockeel · ACM SIGKDD Explorations Newsletter · 2000 · 1.4K citations · Full text
Web data mining: exploring hyperlinks, contents, and usage data
Choice Reviews Online · 2012 · 1.2K citations
Inferring Web communities from link topology
David Gibson, Jon Kleinberg, Prabhakar Raghavan · 1998 · 773 citations
W. Xing, Ali A. Ghorbani · 2004 · 562 citations
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362
Chinese University of Hong Kong
Hong Kong, Hong Kong
8 h-index
17 publications
275 citations

National Taiwan University
Taipei, Taiwan
7 h-index
11 publications
482 citations
Academia Sinica
Taipei, Taiwan
6 h-index
11 publications
1K citations
University of Illinois Chicago
Chicago, United States
6 h-index
14 publications
2.3K citations

Harbin Institute of Technology
Harbin, China
6 h-index
7 publications
223 citations
Microsoft Research Asia (China)
Beijing, China
6 h-index
20 publications
1K citations
IBM Research - Almaden
San Jose, United States
6 h-index
19 publications
13.6K citations
Nanyang Technological University
Singapore, Singapore
5 h-index
9 publications
379 citations
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9 publications · 362 citations
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TKDE · 8 publications · 665 citations
8
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5 publications · 1.8K citations
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TOIT · 5 publications · 882 citations
5
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5 publications · 100 citations
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