Models, algorithms and technologies for network analysis : from the third International Conference on Network Analysis /

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Bibliographic Details
Meeting name:	International Conference on Network Analysis (3rd : 2013 : Nizhny Novgorod, Russia)
Imprint:	Cham : Springer, 2014.
Description:	1 online resource (x, 139 pages) : illustrations (some color).
Language:	English
Series:	Springer Proceedings in Mathematics & Statistics, 2194-1009 ; volume 104 Springer proceedings in mathematics & statistics ; volume 104.
Subject:	Network analysis (Planning) -- Congresses. Network analysis (Planning) Conference papers and proceedings.
Format:	E-Resource Book
URL for this record:	http://pi.lib.uchicago.edu/1001/cat/bib/11089129

Hidden Bibliographic Details
Other authors / contributors:	Batsyn, Mikhail, editor. Kalyagin, Valery A., editor. Pardalos, P. M. (Panos M.), 1954- editor.
ISBN:	9783319097589 331909758X 3319097571 9783319097572 9783319097572
Notes:	Includes bibliographical references. Online resource; title from PDF title page (SpringerLink, viewed November 20, 2014).
Summary:	This volume compiles the major results of conference participants from the "Third International Conference in Network Analysis" held at the Higher School of Economics, Nizhny Novgorod in May 2013, with the aim to initiate further joint research among different groups. The contributions in this book 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. 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 has brought together researchers, practitioners from numerous fields such as operations research, computer science, transportation, energy, biomedicine, computational neuroscience and social sciences. In addition, new approaches and computer environments such as parallel computing, grid computing, cloud computing, and quantum computing have helped to solve large scale network optimization problems.
Other form:	Printed edition: 9783319097572
Standard no.:	10.1007/978-3-319-09758-9

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