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A large-scale study of the evolution of web pages
Abstract
How fast does the web change? Does most of the content remain unchanged once it has been authored, or are the documents continuously updated? Do pages change a little or a lot? Is the extent of change correlated to any other property of the page? All of these questions are of interest to those who mine the web, including all the popular search engines, but few studies have been performed to date to answer them.One notable exception is a study by Cho and Garcia-Molina, who crawled a set of 720,000 pages on a daily basis over four months, and counted pages as having changed if their MD5 checksum changed. They found that 40% of all web pages in their set changed within a week, and 23% of those pages that fell into the .com domain changed daily.This paper expands on Cho and Garcia-Molina's study, both in terms of coverage and in terms of sensitivity to change. We crawled a set of 150,836,209 HTML pages once every week, over a span of 11 weeks. For each page, we recorded a checksum of the page, and a feature vector of the words on the page, plus various other data such as the page length, the HTTP status code, etc. Moreover, we pseudo-randomly selected 0.1% of all of our URLs, and saved the full text of each download of the corresponding pages.After completion of the crawl, we analyzed the degree of change of each page, and investigated which factors are correlated with change intensity. We found that the average degree of change varies widely across top-level domains, and that la…
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“Overall, the results show that the web is constantly changing mainly due to the creation of more and more new pages and, to a lesser extent, the modification of the content of existing ones.”
From Survey of Temporal Information Retrieval and Related Applications (2015) · cites this paper as Fetterly et al. 2003
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Survey of Temporal Information Retrieval and Related Applications
Campos, R., Dias, G., Jorge, A. M., & Jatowt, A. (2015) · ACM Computing Surveys · doi:10.1145/2619088 · Cited by 262
Reactive information foraging for evolving goals
Lawrance, J., Burnett, M., Bellamy, R., Bogart, C., & Swart, C. (2010) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems · doi:10.1145/1753326.1753332 · Cited by 50
Metadata
- Authors
- Fetterly, D., Manasse, M., Najork, M., & Wiener, J.
- Venue
- Proceedings of the twelfth international conference on World Wide Web - WWW '03
- Publisher
- ACM Press
- Published
- 2003
- Pages
- 669
- Cited by
- 189
- References
- 0
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