Representing and quantifying rank - Change for the web graph

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

One of the grand research and industrial challenges in recent years is efficient web search, inherently involving the issue of page ranking. In this paper 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 sizes. We define the rank change rate (racer) as a measure quantifying the web graph evolution. Thereafter, we examine different ways to aggregate the rank change rates and quantify the trends over a group of web pages. We outline the problem of identifying highly dynamic web pages and discuss possible future work. In our experimental evaluation we study the dynamics of web pages, especially those highly ranked.

Original languageEnglish
Title of host publicationAlgorithms and Models for the Web-Graph - Fourth International Workshop, WAW 2006, Revised Papers
Pages157-165
Number of pages9
DOIs
Publication statusPublished - 15 Aug 2008
Event4th International Workshop on Algorithms and Models for the Web-Graph, WAW 2006 - Banff, AB, Canada
Duration: 30 Nov 20061 Dec 2006

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4936 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference4th International Workshop on Algorithms and Models for the Web-Graph, WAW 2006
Country/TerritoryCanada
CityBanff, AB
Period30/11/061/12/06

Keywords

  • PageRank
  • Web Dynamics
  • Web Graph

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