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1st International ICST Conference on Performance Evaluation Methodologies and Tools

Research Article

Web graph analyzer tool

Cite
BibTeX Plain Text
  • @INPROCEEDINGS{10.1145/1190095.1190164,
        author={Konstantin  Avrachenkov and Danil  Nemirovsky and Natalia  Osipova},
        title={Web graph analyzer tool},
        proceedings={1st International ICST Conference on Performance Evaluation Methodologies and Tools},
        publisher={ACM},
        proceedings_a={VALUETOOLS},
        year={2012},
        month={4},
        keywords={WorldWideWeb (WWW) Web Graph Software Tool Crawler Connectivity PageRank},
        doi={10.1145/1190095.1190164}
    }
    
  • Konstantin Avrachenkov
    Danil Nemirovsky
    Natalia Osipova
    Year: 2012
    Web graph analyzer tool
    VALUETOOLS
    ACM
    DOI: 10.1145/1190095.1190164
Konstantin Avrachenkov1,*, Danil Nemirovsky2,*, Natalia Osipova1,*
  • 1: INRIA Sophia Antipolis, 2004, Route des Lucioles, B.P.93 06902, France
  • 2: St.Petersburg State University, 35, Universitetsky Pr., Peterhof, St. Petersburg, 198504, Russia.
*Contact email: K.Avrachenkov@sophia.inria.fr, Danil.Nemirovsky@gmail.com, Natalia.Osipova@sophia.inria.fr

Abstract

We present the software tool "Web Graph Analyzer". This tool is designed to perform a comprehensive analysis of the Web Graph structure. By Web Graph we mean a graph whose vertices are Web pages and whose edges are hyper-links. With the help of the Web Graph Analyzer we can study the local graph characteristics such as numbers and sets of incoming/outgoing links to/from a given page, the page level relative to a given root page, and the global graph characteristics such as PageRank, Giant Strongly Connected Component, the number of dangling nodes. The Web Graph Analyzer has a user friendly GUI that allows an easy collection of a part of WWW and its thorough investigation. The Web Graph Analyzer is based on the Oracle DBMS which scales well with the large volumes of data.

Keywords
WorldWideWeb (WWW) Web Graph Software Tool Crawler Connectivity PageRank
Published
2012-04-12
Publisher
ACM
http://dx.doi.org/10.1145/1190095.1190164
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