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Models, algorithms and technologies for network analysisNET 2014, Nizhny Novgorod, Russia, May 2014 /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Models, algorithms and technologies for network analysisedited by Valery A. Kalyagin, Petr A. Koldanov, Panos M. Pardalos.
Reminder of title:	NET 2014, Nizhny Novgorod, Russia, May 2014 /
other author:	Kalyagin, Valery A.
corporate name:
Published:	Cham :Springer International Publishing :2016.
Description:	xvi, 340 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Network analysis (Planning)Congresses.Computer programs
Online resource:	http://dx.doi.org/10.1007/978-3-319-29608-1
ISBN:	9783319296081$q(electronic bk.)

Models, algorithms and technologies for network analysisNET 2014, Nizhny Novgorod, Russia, May 2014 /
Models, algorithms and technologies for network analysisNET 2014, Nizhny Novgorod, Russia, May 2014 /[electronic resource] :edited by Valery A. Kalyagin, Petr A. Koldanov, Panos M. Pardalos. - Cham :Springer International Publishing :2016. - xvi, 340 p. :ill., digital ;24 cm. - Springer proceedings in mathematics & statistics,v.1562194-1009 ;. - Springer proceedings in mathematics & statistics ;v.19..

Part I: Optimization in Networks -- Maximally Diverse Grouping and Clique Partitioning Problems with Skewed General Variable Neighborhood Search -- Test Generation for Digital Circuits Based on Continuous Approach to Circuit Simulation Using Different Continuous Extensions of Boolean Functions -- Konig graphs for 4-paths. Wided cycles -- Optimization Algorithms for Shared Groups in Multicast Routing -- Minimizing the Fuel Consumption of a Multiobjective Vehicle Routing Problem Using the Parallel Multi-Start NSGA II Algorithm -- Manifold Location Routing Problem with Applications in Network Theory -- A Branch and Bound Algorithm for the Cell Formation Problem -- Part II: Network Data Mining -- Hybrid Community Detection in Social Networks -- Spectral Properties of Financial Correlation Matrices -- Statistical Uncertainty of Minimum Spanning Tree in Market Network -- Identiﬁcation of Cliques and Independent Sets in Pearson and Fechner Correlations Networks -- Testing the Stationarity of Sign Coincidence in Market Network -- Synchronization and Network Measures in a Concussion EEG Paradigm -- Video-Based Pedestrian Detection on Mobile Phones with the Cascade Classifiers -- Clustering in Financial Markets -- Part III: Economics and Other Applications -- A Semantic Solution for Seamless Data Exchange in Supply Networks -- Key Borrowers Detected by the Intensities of Their Short-Range Interactions -- Langmuir Solitons in Plasma with Inhomogeneous Electron Temperature and Space Stimulated Scattering on Damping Ion-sound Waves -- Equilibria in Networks with Production and Knowledge Externalities.

The contributions in this volume cover a broad range of topics including maximum cliques, graph coloring, data mining, brain networks, Steiner forest, logistic and supply chain networks. Network algorithms and their applications to market graphs, manufacturing problems, internet networks and social networks are highlighted. The "Fourth International Conference in Network Analysis," held at the Higher School of Economics, Nizhny Novgorod in May 2014, initiated joint research between scientists, engineers and researchers from academia, industry and government; the major results of conference participants have been reviewed and collected in this Work. Researchers and students in mathematics, economics, statistics, computer science and engineering will find this collection a valuable resource filled with the latest research in network analysis.

ISBN: 9783319296081$q(electronic bk.)

Standard No.: 10.1007/978-3-319-29608-1doiSubjects--Topical Terms:

761564
Network analysis (Planning)
--Computer programs--Congresses.

LC Class. No.: T57.85

Dewey Class. No.: 658.4032

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245 1 0 $a Models, algorithms and technologies for network analysis $h [electronic resource] : $b NET 2014, Nizhny Novgorod, Russia, May 2014 / $c edited by Valery A. Kalyagin, Petr A. Koldanov, Panos M. Pardalos.
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520 $a The contributions in this volume cover a broad range of topics including maximum cliques, graph coloring, data mining, brain networks, Steiner forest, logistic and supply chain networks. Network algorithms and their applications to market graphs, manufacturing problems, internet networks and social networks are highlighted. The "Fourth International Conference in Network Analysis," held at the Higher School of Economics, Nizhny Novgorod in May 2014, initiated joint research between scientists, engineers and researchers from academia, industry and government; the major results of conference participants have been reviewed and collected in this Work. Researchers and students in mathematics, economics, statistics, computer science and engineering will find this collection a valuable resource filled with the latest research in network analysis.
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