Springer Proceedings in Mathematics & Statistics

Models, Algorithms, and Technologies for Network Analysis

NET 2016, Nizhny Novgorod, Russia, May 2016

Editors: Kalyagin, V.A., Nikolaev, A.I., Pardalos, P.M., Prokopyev, O.A. (Eds.)

  • Introduces current theories and applications in optimization methods and network models
  • Contains new efficient algorithms and rigorous mathematical theories
  • Features applications to social networks, power transmission grids, telecommunication networks, stock market networks, and human brain networks
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eBook $129.00
price for USA in USD (gross)
  • ISBN 978-3-319-56829-4
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  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $169.99
price for USA in USD
  • ISBN 978-3-319-56828-7
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $169.99
price for USA in USD
  • ISBN 978-3-319-86012-1
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

This valuable source for graduate students and researchers provides a comprehensive introduction to current theories and applications in optimization methods and network models. Contributions to this book are focused on new efficient algorithms and rigorous mathematical theories, which can be used to optimize and analyze mathematical graph structures with massive size and high density induced by natural or artificial complex networks. Applications to social networks, power transmission grids, telecommunication networks, stock market networks, and human brain networks are presented.

Chapters in this book cover the following topics:

  • Linear max min fairness
  • Heuristic approaches for high-quality solutions
  • Efficient approaches for complex multi-criteria optimization problems
  • Comparison of heuristic algorithms
  • New  heuristic iterative local search 
  • Power in network structures
  • Clustering nodes in random graphs
  • Power transmission grid structure
  • Network decomposition problems
  • Homogeneity hypothesis testing
  • Network analysis of international migration
  • Social networks with node attributes
  • Testing hypothesis on degree distribution in the market graphs
  • Machine learning applications to human brain network studies

 This proceeding is a result of The 6th International Conference on Network Analysis held at the Higher School of Economics, Nizhny Novgorod in May 2016. The conference brought together scientists and engineers from industry, government, and academia to discuss the links between network analysis and a variety of fields.

Table of contents (19 chapters)

  • Linear Max-Min Fairness in Multi-commodity Flow Networks

    Bin Obaid, Hamoud (et al.)

    Pages 3-10

  • Heuristic for Maximizing Grouping Efficiency in the Cell Formation Problem

    Bychkov, Ilya (et al.)

    Pages 11-26

  • Efficient Methods of Multicriterial Optimization Based on the Intensive Use of Search Information

    Gergel, Victor (et al.)

    Pages 27-45

  • Comparison of Two Heuristic Algorithms for a Location and Design Problem

    Gnusarev, Alexander

    Pages 47-55

  • A Class of Smooth Modification of Space-Filling Curves for Global Optimization Problems

    Goryachih, Alexey

    Pages 57-65

Buy this book

eBook $129.00
price for USA in USD (gross)
  • ISBN 978-3-319-56829-4
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $169.99
price for USA in USD
  • ISBN 978-3-319-56828-7
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $169.99
price for USA in USD
  • ISBN 978-3-319-86012-1
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Models, Algorithms, and Technologies for Network Analysis
Book Subtitle
NET 2016, Nizhny Novgorod, Russia, May 2016
Editors
  • Valery A. Kalyagin
  • Alexey I. Nikolaev
  • Panos M. Pardalos
  • Oleg A. Prokopyev
Series Title
Springer Proceedings in Mathematics & Statistics
Series Volume
197
Copyright
2017
Publisher
Springer International Publishing
Copyright Holder
Springer International Publishing AG
eBook ISBN
978-3-319-56829-4
DOI
10.1007/978-3-319-56829-4
Hardcover ISBN
978-3-319-56828-7
Softcover ISBN
978-3-319-86012-1
Series ISSN
2194-1009
Edition Number
1
Number of Pages
XIII, 277
Number of Illustrations
57 b/w illustrations
Topics