Models, Algorithms and Technologies for Network Analysis
From the Third International Conference on Network Analysis
Editors: Batsyn, Mikhail V., Kalyagin, Valery A., Pardalos, Panos M. (Eds.)
Free Preview- 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
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- About this book
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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.
- Table of contents (11 chapters)
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A Method of Static and Dynamic Pattern Analysis of Innovative Development of Russian Regions in the Long Run
Pages 1-8
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Using Mathematical Programming to Refine Heuristic Solutions for Network Clustering
Pages 9-20
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Market Graph Construction Using the Performance Measure of Similarity
Pages 21-35
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The Flatness Theorem for Some Class of Polytopes and Searching an Integer Point
Pages 37-43
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How Independent Are Stocks in an Independent Set of a Market Graph
Pages 45-53
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Table of contents (11 chapters)
- Download Preface 1 PDF (23.5 KB)
- Download Sample pages 1 PDF (240 KB)
- Download Table of contents PDF (20.4 KB)
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Bibliographic Information
- Bibliographic Information
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- Book Title
- Models, Algorithms and Technologies for Network Analysis
- Book Subtitle
- From the Third International Conference on Network Analysis
- Editors
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- Mikhail V. Batsyn
- Valery A. Kalyagin
- Panos M. Pardalos
- Series Title
- Springer Proceedings in Mathematics & Statistics
- Series Volume
- 104
- Copyright
- 2014
- Publisher
- Springer International Publishing
- Copyright Holder
- Springer International Publishing Switzerland
- eBook ISBN
- 978-3-319-09758-9
- DOI
- 10.1007/978-3-319-09758-9
- Hardcover ISBN
- 978-3-319-09757-2
- Softcover ISBN
- 978-3-319-34352-5
- Series ISSN
- 2194-1009
- Edition Number
- 1
- Number of Pages
- X, 139
- Number of Illustrations
- 18 b/w illustrations, 23 illustrations in colour
- Topics
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