Models, Algorithms and Technologies for Network Analysis

NET 2014, Nizhny Novgorod, Russia, May 2014

Valery A. Kalyagin, Petr A. Koldanov, Panos M. Pardalos (Herausgeber)

Buch | Softcover

XVI, 340 Seiten

2018 | Softcover reprint of the original 1st ed. 2016
Springer International Publishing (Verlag)
978-3-319-80607-5 (ISBN)

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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.

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.- König 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.

Erscheinungsdatum	20.02.2019
Reihe/Serie	Springer Proceedings in Mathematics & Statistics
Zusatzinfo	XVI, 340 p. 107 illus., 82 illus. in color.
Verlagsort	Cham
Sprache	englisch
Maße	155 x 235 mm
Gewicht	545 g
Themenwelt	Informatik ► Theorie / Studium ► Algorithmen
	Mathematik / Informatik ► Mathematik ► Analysis
	Mathematik / Informatik ► Mathematik ► Wahrscheinlichkeit / Kombinatorik
	Wirtschaft ► Betriebswirtschaft / Management
Schlagworte	coloring problem • combinatorics • complex networks • Heuristics • maximum cliques • network analysis • Steiner forest
ISBN-10	3-319-80607-6 / 3319806076
ISBN-13	978-3-319-80607-5 / 9783319806075
Zustand	Neuware