Models, Algorithms and Technologies for Network Analysis

From the Third International Conference on Network Analysis

  • Mikhail V. Batsyn
  • Valery A. Kalyagin
  • Panos M. Pardalos
Part of the Springer Proceedings in Mathematics & Statistics book series (PROMS, volume 104)

Table of contents

  1. Front Matter
    Pages i-x
  2. Fuad Aleskerov, Ludmila Egorova, Leonid Gokhberg, Alexey Myachin, Galina Sagieva
    Pages 1-8
  3. Andrey A. Glotov, Valery A. Kalyagin, Arsenii N. Vizgunov, Panos M. Pardalos
    Pages 21-35
  4. Petr A. Koldanov, Ivan Grechikhin
    Pages 45-53
  5. Nina N. Lozgacheva, Alexander P. Koldanov
    Pages 55-68
  6. Yannis Marinakis, Athanasios Migdalas
    Pages 69-91
  7. Dmitry Mokeev
    Pages 93-103
  8. Carlos A. S. Oliveira, Panos M. Pardalos
    Pages 105-118

About these proceedings

Introduction

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.

Keywords

Complex networks Methodologies in analyzing networks Methodologies in constructing networks Network Analysis

Editors and affiliations

  • Mikhail V. Batsyn
    • 1
  • Valery A. Kalyagin
    • 2
  • Panos M. Pardalos
    • 3
  1. 1.Laboratory of Algorithms and Technologies for Networks Analysis, Department of Applied Mathematics and InformaticsNational Research University Higher School of EconomicsNizhny NovgorodRussia
  2. 2.Laboratory of Algorithms and Technologies for Networks Analysis, Department of Applied Mathematics and InformaticsNational Research University Higher School of EconomicsNizhny NovgorodRussia
  3. 3.Laboratory of Algorithms and Technologies for Networks Analysis, Department of Industrial and Systems Engineering, Center for Applied OptimizationNational Research University Higher School of Economics, Nizhny Novgorod, Russia, University of FloridaGainesvilleUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-09758-9
  • Copyright Information Springer International Publishing Switzerland 2014
  • Publisher Name Springer, Cham
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-3-319-09757-2
  • Online ISBN 978-3-319-09758-9
  • Series Print ISSN 2194-1009
  • Series Online ISSN 2194-1017
  • About this book