Geodesic
Network Models of Massive Datasets
Computer Science and Information Systems, Tome 1 (2004) no. 1.

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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. 
@article{CSIS_2004_1_1_a4,
     author = {Vladimir Boginski and Sergiy Butenko and Panos M. Pardalos},
     title = {Network {Models} of {Massive} {Datasets}},
     journal = {Computer Science and Information Systems},
     publisher = {mathdoc},
     volume = {1},
     number = {1},
     year = {2004},
     zbl = {1113.90079},
     url = {http://geodesic.mathdoc.fr/item/CSIS_2004_1_1_a4/}
}
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Vladimir Boginski; Sergiy Butenko; Panos M. Pardalos. Network Models of Massive Datasets. Computer Science and Information Systems, Tome 1 (2004) no. 1. http://geodesic.mathdoc.fr/item/CSIS_2004_1_1_a4/