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New framework analyzes web crawl data with discovery curves

By PulseAugur Editorial · [1 sources] ·

Researchers have developed a new framework for analyzing longitudinal web crawls, which are sequential samples of an evolving URL population. This framework introduces the "discovery curve" to measure the cumulative URL footprint over a sliding window of crawls. By comparing the discovery curve with pairwise containment analysis, the researchers identified disagreements in projections when applied to Common Crawl and the German Academic Web archives. These discrepancies suggest a two-component model of the web, featuring a persistent core alongside a dynamic shell, which better reconciles the observed data. AI

RANK_REASON The cluster contains an academic paper detailing a new methodology for analyzing web crawl data. [lever_c_demoted from research: ic=1 ai=0.1]

Read on arXiv cs.IR (Information Retrieval) →

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New framework analyzes web crawl data with discovery curves

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The cluster contains an academic paper detailing a new methodology for analyzing web crawl data. [lever_c_demoted from research: ic=1 ai=0.1]
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COVERAGE [1]

  1. arXiv cs.IR (Information Retrieval) TIER_1 English(EN) · Luca Foppiano ·

    Measuring What the Crawler Sees: Discovery Curves, Core Persistence, and Shell Dynamics in Longitudinal Web Crawls

    A longitudinal web crawl is a sequence of partial samples of an evolving URL population. Pairwise containment between two crawls is the standard probe; under a simple \emph{urn} model of the crawl -- each round samples a fraction of the URLs and replaces a fraction -- it recovers…

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