2004 · 453 citations · 17 references
ComputingInformation TechnologyInformation RetrievalSurvival AnalysisWeb AnalyticsChange MetricsSearch AnalyticsTrend DetectionWeb SearchContent Change DetectionEvolution AnalysisSimilarity MeasuresTemporal Content AnalysisTemporal Web AnalysisTurnover Rate AnalysisWeb Search Behavior
The study seeks to understand how search engines can adapt to the rapidly evolving Web to deliver up-to-date results and discusses implications for engine design. Researchers collected weekly snapshots of about 150 sites over a year, measuring content and link evolution, focusing on link structure changes, page birth/death rates, and content shift metrics. They found that Web pages and hyperlinks turnover rapidly, with high birth/death rates, and that while content shift is not correlated with update frequency, pages exhibit consistent volatility week to week.
We seek to gain improved insight into how Web search engines shouldcope with the evolving Web, in an attempt to provide users with themost up-to-date results possible. For this purpose we collectedweekly snapshots of some 150 Web sites over the course of one year,and measured the evolution of content and link structure. Our measurements focus on aspects of potential interest to search engine designers: the evolution of link structure over time, the rate ofcreation of new pages and new distinct content on the Web, and the rate of change of the content of existing pages under search-centric measures of degree of change.Our findings indicate a rapid turnover rate of Web pages, i.e.,high rates of birth and death, coupled with an even higher rate ofturnover in the hyperlinks that connect them. For pages that persistover time we found that, perhaps surprisingly, the degree of contentshift as measured using TF.IDF cosine distance does not appear to beconsistently correlated with the frequency of contentupdating. Despite this apparent non-correlation, the rate of content shift of a given page is likely to remain consistent over time. That is, pages that change a great deal in one week will likely change by a similarly large degree in the following week. Conversely, pages that experience little change will continue to experience little change. We conclude the paper with a discussion of the potential implications ofour results for the design of effective Web search engines.
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