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Comparison of Large Graphs Using Distance Information

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Parallel Processing and Applied Mathematics (PPAM 2015)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 9573))

Abstract

We present a new framework for analysis and visualization of large complex networks based on structural information retrieved from their distance k-graphs and B-matrices. The construction of B-matrices for graphs with more than 1 million edges requires massive BFS computations and is facilitated using Cassovary - an open-source in-memory graph processing engine. The approach described in this paper enables efficient generation of expressive, multi-dimensional descriptors useful in graph embedding and graph mining tasks. In experimental section, we present how the developed tools helped in the analysis of real-world graphs from Stanford Large Network Dataset Collection.

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Notes

  1. 1.

    Diameter, efficiency, characteristic path length, vertex betweenness, vertex closeness, vertex eccentricity, transitivity, clustering coefficient, assortativity [3].

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Acknowledgments

This research is supported by the National Centre Science Poland (NCN) DEC-2013/09/B/ST6/01549.

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Authors and Affiliations

  1. Institute of Computer Science, AGH University of Science and Technology, Kraków, Poland

    Wojciech Czech, Wojciech Mielczarek & Witold Dzwinel

Authors
  1. Wojciech Czech
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  2. Wojciech Mielczarek
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  3. Witold Dzwinel
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Corresponding author

Correspondence to Wojciech Czech .

Editor information

Editors and Affiliations

  1. Czestochowa University of Technolog, Czestochowa, Poland

    Roman Wyrzykowski

  2. Department of Computer Science, University of Southern California, Marina Del Rey, California, USA

    Ewa Deelman

  3. Electrical Engineering & Comput. Science, University of Tennessee, Knoxville, Tennessee, USA

    Jack Dongarra

  4. Czestochowa University of Technology, Institute of Computer & Information Sci., Czestochowa, Poland

    Konrad Karczewski

  5. Department of Computer Science, AGH University of Science and Technology, Krakow, Poland

    Jacek Kitowski

  6. Systèmes d’informations, Big Data et Rec, AGH University of Science and Technology, Krakow, Poland

    Kazimierz Wiatr

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Czech, W., Mielczarek, W., Dzwinel, W. (2016). Comparison of Large Graphs Using Distance Information. In: Wyrzykowski, R., Deelman, E., Dongarra, J., Karczewski, K., Kitowski, J., Wiatr, K. (eds) Parallel Processing and Applied Mathematics. PPAM 2015. Lecture Notes in Computer Science(), vol 9573. Springer, Cham. https://doi.org/10.1007/978-3-319-32149-3_19

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  • DOI: https://doi.org/10.1007/978-3-319-32149-3_19

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-32148-6

  • Online ISBN: 978-3-319-32149-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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