Article

Comparing apples and oranges: normalized pagerank for evolving graphs

Authors:

Klaus Berberich,

Srikanta Bedathur,

Gerhard Weikum,

Michalis VazirgiannisAuthors Info & Claims

WWW '07: Proceedings of the 16th international conference on World Wide Web

Pages 1145 - 1146

https://doi.org/10.1145/1242572.1242737

Published: 08 May 2007 Publication History

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Abstract

PageRank is the best known technique for link-based importance ranking. The computed importance scores, however, are not directly comparable across different snapshots of an evolving graph. We present an efficiently computable normalization for PageRank scores that makes them comparable across graphs. Furthermore, we show that the normalized PageRank scores are robust to non-local changes in the graph, unlike the standard PageRank measure.

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Cited By

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Mujahid SCosta DAbdalkareem RShihab ESaied MAdams B(2022)Toward Using Package Centrality Trend to Identify Packages in DeclineIEEE Transactions on Engineering Management10.1109/TEM.2021.312201269:6(3618-3632)Online publication date: Dec-2022
https://doi.org/10.1109/TEM.2021.3122012
Sun JStaab SKunegis J(2018)Understanding Social Networks Using Transfer LearningComputer10.1109/MC.2018.270164051:6(52-60)Online publication date: Jun-2018
https://doi.org/10.1109/MC.2018.2701640
Zhu ZPeng QLi ZGuan XMuhammad O(2018)Fast PageRank Computation Based on Network Decomposition and DAG StructureIEEE Access10.1109/ACCESS.2018.28516046(41760-41770)Online publication date: 2018
https://doi.org/10.1109/ACCESS.2018.2851604
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Comparing apples and oranges: normalized pagerank for evolving graphs
1. Information systems
  1. Information systems applications

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Published In

WWW '07: Proceedings of the 16th international conference on World Wide Web

May 2007

1382 pages

ISBN:9781595936547

DOI:10.1145/1242572

General Chairs:
Carey Williamson
University of Calgary, Canada
,
Mary Ellen Zurko
IBM, USA
,
Program Chairs:
Peter Patel-Schneider
Bell Labs Research, USA
,
Prashant Shenoy
University of Massachusetts at Amherst, USA

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

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Published: 08 May 2007

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WWW'07

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WWW'07: 16th International World Wide Web Conference

May 8 - 12, 2007

Alberta, Banff, Canada

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Overall Acceptance Rate 1,899 of 8,196 submissions, 23%

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Mujahid SCosta DAbdalkareem RShihab ESaied MAdams B(2022)Toward Using Package Centrality Trend to Identify Packages in DeclineIEEE Transactions on Engineering Management10.1109/TEM.2021.312201269:6(3618-3632)Online publication date: Dec-2022
https://doi.org/10.1109/TEM.2021.3122012
Sun JStaab SKunegis J(2018)Understanding Social Networks Using Transfer LearningComputer10.1109/MC.2018.270164051:6(52-60)Online publication date: Jun-2018
https://doi.org/10.1109/MC.2018.2701640
Zhu ZPeng QLi ZGuan XMuhammad O(2018)Fast PageRank Computation Based on Network Decomposition and DAG StructureIEEE Access10.1109/ACCESS.2018.28516046(41760-41770)Online publication date: 2018
https://doi.org/10.1109/ACCESS.2018.2851604
Sonawane SGhotkar AHinge S(2018)Context-Based Multi-document SummarizationContemporary Advances in Innovative and Applicable Information Technology10.1007/978-981-13-1540-4_16(153-165)Online publication date: 2-Oct-2018
https://doi.org/10.1007/978-981-13-1540-4_16
Sun JKunegis JStaab S(2016)Predicting User Roles in Social Networks Using Transfer Learning with Feature Transformation2016 IEEE 16th International Conference on Data Mining Workshops (ICDMW)10.1109/ICDMW.2016.0026(128-135)Online publication date: Dec-2016
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Tsai CKender JZhou XSmeaton ATian QBulterman DShen HMayer-Patel KYan S(2015)Tracking Cultural Differences in News Video CreationProceedings of the 23rd ACM international conference on Multimedia10.1145/2733373.2806372(951-954)Online publication date: 13-Oct-2015
https://dl.acm.org/doi/10.1145/2733373.2806372
Bjelland JCanright GEngø‐Monsen K(2012)Link Analysis and Web SearchComputational Complexity10.1007/978-1-4614-1800-9_112(1746-1766)Online publication date: 2012
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Dai NDavison BCrestani FMarchand-Maillet SChen HEfthimiadis ESavoy J(2010)Freshness mattersProceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval10.1145/1835449.1835471(114-121)Online publication date: 19-Jul-2010
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Bani-Ahmad SOzsoyoglu G(2009)On popularity qualityProceedings of the 6th international conference on Innovations in information technology10.5555/1802274.1802322(231-235)Online publication date: 15-Dec-2009
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Bjelland JCanright GEngø-Monsen K(2009)Link Analysis and Web SearchEncyclopedia of Complexity and Systems Science10.1007/978-0-387-30440-3_312(5265-5286)Online publication date: 2009
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Topic-Sensitive PageRank: A Context-Sensitive Ranking Algorithm for Web Search

Topic-sensitive PageRank

Representing and Quantifying Rank - Change for the Web Graph

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