Cited by 29Information Retrieval and Search BehaviorComplex Network Analysis TechniquesWeb visibility and informetrics

Distribution of PageRank Mass Among Principle Components of the Web

Open access
Avrachenkov, Konstantin, Litvak, Nelly, Pham, Kim Son·2007·Lecture Notes in Computer Science

Integrity signals

Registry

Crossref · 10.1007/978-3-540-77004-6_2

Cites

24 of 24 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

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Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • The corresponding moments of X and N always exist together.

    “Moreover, since the corresponding moments of X and N always exist together [26], we use only moments of X”

    From Asymptotic analysis for personalized Web search (2010) · cites this paper as [26]

  • If X is regularly varying, then N(X) is also regularly varying and asymptotically identical to X.

    “Thus, if X is regularly varying then N(X) is also regularly varying and asymptotically identical to X (see, e.g. [26]):”

    From Asymptotic analysis for personalized Web search (2010) · cites this paper as [26]

  • It has become common knowledge that the in-degree and PageRank of the Web follow a power law with the same exponent.

    “It has become common knowledge that the in-degree and PageRank of the Web follow a power law with the same exponent (see [14], [26], [32], and [37]).”

    From Asymptotic analysis for personalized Web search (2010) · cites this paper as [26]

  • The last expression is the value of C_N in the case when the out-degree of all nondangling nodes is a constant E(N)/(1-p0), as in [26].

    “The last expression is the value of CN in the case when the out-degree of all nondangling nodes is a constant E (N)/( 1 -p 0 ) , as in [26].”

    From Asymptotic analysis for personalized Web search (2010) · cites this paper as [26]

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1 of the 25 references couldn’t be matched to a known paper.

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Authors
Avrachenkov, K., Litvak, N., & Pham, K. S.
Affiliations
  • Institut national de recherche en sciences et technologies du numérique (FR)
  • University of Twente (NL)
  • St Petersburg University (RU)
Venue
Lecture Notes in Computer Science
Published
2007-11-14
Pages
16-28
OpenAlex
W2115687977
Cited by
29
References
25
Citations by year
2024: 1 · 2023: 1 · 2021: 1 · 2020: 1 · 2019: 1 · 2018: 1 · 2017: 1 · 2016: 2 · 2015: 1 · 2013: 4 · 2012: 1
FWCI
2.66
Type
conference paper
Language
en
Open access
Locations
  • Springer eBooks (publishedVersion)
  • University of Twente Research Information (publishedVersion)
  • arXiv (Cornell University) (submittedVersion)
  • University of Twente Research Information (submittedVersion)
  • arXiv (Cornell University)
Topics
  • Physical Sciences › Computer Science › Information Systems › Information Retrieval and Search Behavior
  • Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Complex Network Analysis Techniques
  • Physical Sciences › Computer Science › Information Systems › Web visibility and informetrics
Keywords
PageRank, damping factor, web graph, principal components, bow-tie structure, dead ends, singular perturbation

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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

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