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Titlebook: Algorithms and Models for the Web-Graph; Fourth International William Aiello,Andrei Broder,Evangelos Milios Conference proceedings 2008 Spr

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Strategische Frühaufklärung (SFA)that attempt to subvert the unbiased searching and ranking services provided by the engines. Given the large fraction of Web traffic originating from search engine referrals and the high potential monetary value of this traffic, it is not surprising that some Web site owners try to influence the ran
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Donia Lasinger,Manfred Lasingerten with contradictory approaches. We study the difference between . and . preferential PageRank, which patch the dangling nodes with different distributions, extending analytical formulae known for the strongly preferential case, and corroborating our results with experiments on a snapshot of 100 m
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https://doi.org/10.1007/978-3-642-82366-4raphs are formed. In order to determine if a graph might have been generated by a given model one must compare the features of that graph with those generated by the model. We introduce the concept of a hierarchical degree core tree as a novel way of summarizing the structure of massive graphs. The
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https://doi.org/10.1007/978-3-531-91781-8ties in the Web and so on, by focusing on the webgraph. In this paper, we identify a common frequent substructure by observing the webgraph, and newly define it as an isolated star (i-star). We propose an efficient enumeration algorithm of i-stars, and try structure mining by enumerating them from t
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https://doi.org/10.1007/978-3-531-91781-8aper we address the issue of representing and quantifying web ranking trends as a measure of web pages. We study the rank position of a web page among different snapshots of the web graph and propose normalized measures of ranking trends that are comparable among web graph snapshots of different siz
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