Models, algorithms, and technologies for network analysis : proceedings of the First International Conference on Network Analysis

This volume contains a selection of contributions from the "First International Conference in Network Analysis," held at the University of Florida, Gainesville, on December 14-16, 2011. The remarkable diversity of fields that take advantage of Network Analysis makes the endeavor of gatheri...

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Altres autors: Goldengorin, Boris I. (Director editorial), Kalyagin, Valery A. (Director editorial), Pardalos, Panos M. (Director editorial), Goldengorin, Boris (Director editorial), Kalyagin, Valery A., 19..- (Director editorial), Pardalos, Panos M., 1954- (Director editorial)
Format: Livre numérique
Idioma:Anglais
Publicat: New York, NY : Springer New York 2013.
Cham : Springer Nature
Col·lecció:Springer Proceedings in Mathematics & Statistics 32
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Edition sous un autre format:• Models, Algorithms, and Technologies for Network Analysis, 9781461455738
• Models, Algorithms, and Technologies for Network Analysis, 9781461455752
• Models, Algorithms, and Technologies for Network Analysis, 9781493901746
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520 |a This volume contains a selection of contributions from the "First International Conference in Network Analysis," held at the University of Florida, Gainesville, on December 14-16, 2011. The remarkable diversity of fields that take advantage of Network Analysis makes the endeavor of gathering up-to-date material in a single compilation a useful, yet very difficult, task. The purpose of this volume is to overcome this difficulty by collecting the major results found by the participants and combining them in one easily accessible compilation. Network analysis has become a major research topic over the last several years. The broad range of applications that can be described and analyzed by means of a network is bringing together researchers, practitioners and other scientific communities from numerous fields such as Operations Research, Computer Science, Transportation, Energy, Social Sciences, and more. The contributions not only come from different fields, but also cover a broad range of topics relevant to the theory and practice of network analysis, including the reliability of complex networks, software, theory, methodology, and applications. 
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