Overview
- Network analysis is a powerful method which can be used to solve manufacturing, transportation, economic, and other applied problems
- Analysis of the reliability of complex networks is necessary for power, communication, and transport networks and is widely applied in power supply systems, military sphere, and emergency evacuation planning
- Contains novel algorithms and technologies for network analysis
- Includes supplementary material: sn.pub/extras
Part of the book series: Springer Proceedings in Mathematics & Statistics (PROMS, volume 104)
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Table of contents (11 papers)
Keywords
About this book
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.
Editors and Affiliations
Bibliographic Information
Book Title: Models, Algorithms and Technologies for Network Analysis
Book Subtitle: From the Third International Conference on Network Analysis
Editors: Mikhail V. Batsyn, Valery A. Kalyagin, Panos M. Pardalos
Series Title: Springer Proceedings in Mathematics & Statistics
DOI: https://doi.org/10.1007/978-3-319-09758-9
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer International Publishing Switzerland 2014
Hardcover ISBN: 978-3-319-09757-2Published: 11 November 2014
Softcover ISBN: 978-3-319-34352-5Published: 23 August 2016
eBook ISBN: 978-3-319-09758-9Published: 30 October 2014
Series ISSN: 2194-1009
Series E-ISSN: 2194-1017
Edition Number: 1
Number of Pages: X, 139
Number of Illustrations: 18 b/w illustrations, 23 illustrations in colour
Topics: Optimization, Applications of Graph Theory and Complex Networks, Analysis, Computational Mathematics and Numerical Analysis, Mathematical Software, Mathematical Modeling and Industrial Mathematics