Computational Aspects and Applications in Large-Scale Networks

NET 2017, Nizhny Novgorod, Russia, June 2017

  • Valery A. Kalyagin
  • Panos M. Pardalos
  • Oleg Prokopyev
  • Irina Utkina
Conference proceedings NET 2016

Part of the Springer Proceedings in Mathematics & Statistics book series (PROMS, volume 247)

Table of contents

  1. Front Matter
    Pages i-xvii
  2. Network Computational Algorithms

  3. Network Models

    1. Front Matter
      Pages 133-133
    2. A. P. Koldanov, M. A. Voronina
      Pages 135-142
    3. Andrey Pavlovich Nelyubin, Vladislav Vladimirovich Podinovski, Mikhail Andreevich Potapov
      Pages 189-196
    4. Alexander Ponomarenko, Irina Utkina, Mikhail Batsyn
      Pages 197-203
    5. Alexander Semenov, Dmitry Gorbatenko, Stepan Kochemazov
      Pages 205-220
    6. Dmitry Zaytsev, Daria Drozdova
      Pages 235-253
  4. Network Applications

    1. Front Matter
      Pages 255-255
    2. Mikhail Belyaev, Yulia Dodonova, Daria Belyaeva, Egor Krivov, Boris Gutman, Joshua Faskowitz et al.
      Pages 257-267
    3. Ivan S. Grechikhin, Valery A. Kalyagin
      Pages 269-279
    4. Nikolay Karpov, Alexander Lyashuk, Arsenii Vizgunov
      Pages 281-288
    5. Anvar Kurmukov, Yulia Dodonova, Margarita Burova, Ayagoz Mussabayeva, Dmitry Petrov, Joshua Faskowitz et al.
      Pages 299-308
    6. Nadezhda Kostyakova, Ilia Karpov, Ilya Makarov, Leonid E. Zhukov
      Pages 309-318
    7. Rodion Laptsuev, Marina Ananyeva, Dmitry Meinster, Ilia Karpov, Ilya Makarov, Leonid E. Zhukov
      Pages 319-328
    8. S. P. Sidorov, A. R. Faizliev, V. A. Balash, A. A. Gudkov, A. Z. Chekmareva, P. K. Anikin
      Pages 341-354

Other volumes

  1. NET 2016, Nizhny Novgorod, Russia, May 2016
  2. Computational Aspects and Applications in Large-Scale Networks
    NET 2017, Nizhny Novgorod, Russia, June 2017
  3. NET, Moscow, Russia, May 2018

About these proceedings


Contributions in this volume focus on computationally efficient algorithms and rigorous mathematical theories for analyzing large-scale networks. 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. Computational aspects and applications of large-scale networks in market models, neural networks, social networks, power transmission grids, maximum clique problem, telecommunication networks, and complexity graphs are included with new tools for efficient network analysis of large-scale networks.

This proceeding is a result of the 7th International Conference in Network Analysis, held at the Higher School of Economics, Nizhny Novgorod in June 2017. The conference brought together scientists, engineers, and researchers from academia, industry, and government.


Computational Aspects and Applications of Large Scale Networks Critical Links Autoregressive Models Equilibrium Under Network Constraints Cliques Quasi-cliques Clustering Coefficient Random Graphs Guarantee Networks Neural Network Complexity of Graphs Vehicle Routing Problems triangle-Konig Graphs Integer Linear Programming Problems Bilevel Pricing Problem Graph Dichotomy Algorithm Network Analysis Gaussian Graphical Model Topological Structure Formation

Editors and affiliations

  1. 1.Higher School of EconomicsNational Research UniversityNizhny NovgorodRussia
  2. 2.Department of Industrial and Systems EngineeringUniversity of FloridaGainesvilleUSA
  3. 3.Department of Industrial EngineeringUniversity of PittsburghPittsburghUSA
  4. 4.Higher School of EconomicsNational Research UniversityNizhny NovgorodRussia

Bibliographic information

Industry Sectors
Finance, Business & Banking