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Vladimir Boginski, Center for Applied Optimization,
Industrial and Systems Engineering Department, University
of Florida, USA
Sergiy Butenko, Industrial Engineering
Department, Texas A&M University, USA
Panos M. Pardalos, Center for Applied Optimization,
Industrial and Systems Engineering Department, University
of Florida, USA
Abstract. 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 ?elds 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.
Volume 01 , Issue 01 (February
2004) table of
contents
Year of Publication: 2004
ISSN:1820-0214
Publisher ComSIS Consortium |
| Full
text available: |
Pdf |
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