Network Models of Massive Datasets

Vladimir Boginski1, Sergiy Butenko2 and Panos M. Pardalos1

  1. Center for Applied Optimization, Industrial and Systems Engineering Department, University of Florida
    Gainesville, USA
    {vb, pardalos}
  2. Industrial Engineering Department, Texas A&M University
    College Station Texas, USA


We give a brief overview of the methodology of modeling massive datasets arising in various applications as networks. This approach is often useful for extracting non-trivial information from the datasets by applying standard graph-theoretic techniques. We also point out that graphs representing datasets coming from diverse practical fields have a similar power-law structure, which indicates that the global organization and evolution of massive datasets arising in various spheres of life nowadays follow similar natural principles.

Publication information

Volume 1, Issue 1 (February 2004)
Year of Publication: 2004
ISSN: 1820-0214 (Print) 2406-1018 (Online)
Publisher: ComSIS Consortium

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How to cite

Boginski, V., Butenko, S., Pardalos, P. M.: Network Models of Massive Datasets. Computer Science and Information Systems, Vol. 1, No. 1, 75-89. (2004)