Content Change Detection
Content Change Detection is a systematic methodology in web forensics that identifies and analyzes alterations to web content over time by comparing historical and current states of digital artifacts to determine the nature, extent, and timing of modifications.
111
Publications
4.5K
Citations
301
Authors
107
Institutions
Publications per year
2017–2026
15
Parents
111
Alexandros Ntoulas, Junghoo Cho, Christopher Olston · 2004 · 453 citations
Computing, Information Technology, Information Retrieval +13
A large-scale study of the evolution of web pages
Dennis Fetterly, Mark S. Manasse, Marc Najork et al. · 2003 · 347 citations
Estimating frequency of change
Junghoo Cho, Héctor García-Molina · ACM Transactions on Internet Technology · 2003 · 331 citations
A large‐scale study of the evolution of Web pages
Dennis Fetterly, Mark S. Manasse, Marc Najork et al. · Software Practice and Experience · 2004 · 202 citations · Full text
Eytan Adar, Jaime Teevan, Susan Dumais et al. · 2009 · 150 citations
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107
Microsoft (United States)
Redmond, United States
9 h-index
20 publications
2.2K citations

Kyoto University
Kyoto, Japan
3 h-index
7 publications
124 citations
The University of Texas at Arlington
Arlington, United States
3 h-index
8 publications
125 citations
Hewlett-Packard (United States)
Palo Alto, United States
3 h-index
5 publications
1K citations
Texas A&M University
College Station, United States
3 h-index
17 publications
375 citations
University of Washington
Seattle, United States
3 h-index
3 publications
264 citations
AT&T (United States)
Bedminster, United States
3 h-index
8 publications
254 citations
Google (United States)
Mountain View, United States
2 h-index
2 publications
32 citations
1–8 of 107
DKE · 4 publications · 80 citations
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JASIST · 2 publications · 70 citations
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2 publications · 106 citations
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TOIT · 2 publications · 365 citations
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1 publications · 18 citations
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