Skip to main content
SpringerLink
Log in

Models, Algorithms and Technologies for Network Analysis

NET 2014, Nizhny Novgorod, Russia, May 2014

  • Conference proceedings
  • © 2016

Overview

Editors:
  1. Valery A. Kalyagin

    1. Laboratory of Algorithms and Technologies for Network Analysis (LATNA), National Research University Higher School of Economics, Nizhny Novgorod, Russia

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  2. Petr A. Koldanov

    1. Laboratory of Algorithms and Technologies for Network Analysis (LATNA), National Research University Higher School of Economics, Nizhny Novgorod, Russia

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  3. Panos M. Pardalos

    1. Department of Industrial and System Engineering, Center for Applied Optimization University of Florida, Gainesville, USA

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  • Reveals network analysis as a powerful method used to solve manufacturing, transportation, economic, and other applied problems
  • Contains theoretical results and computer implementations for proposed algorithms
  • Presents solid experimental results in network analysis

Part of the book series: Springer Proceedings in Mathematics & Statistics (PROMS, volume 156)

Included in the following conference series:

Conference proceedings info: NET 2014.

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution
eBook USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (20 papers)

  1. Front Matter

    Pages i-xvi
    Download chapter PDF

  2. Optimization in Networks

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. Maximally Diverse Grouping and Clique Partitioning Problems with Skewed General Variable Neighborhood Search

      • Jack Brimberg, Nenad Mladenović, Dragan UroÅ¡ević
      Pages 3-38

    3. Test Generation for Digital Circuits Based on Continuous Approach to Circuit Simulation Using Different Continuous Extensions of Boolean Functions

      • Nickolay Kascheev, Daniil Kascheev
      Pages 39-44

    4. König Graphs for 4-Paths: Widened Cycles

      • Dmitry Mokeev
      Pages 45-54

    5. Optimization Algorithms for Shared Groups in Multicast Routing

      • Carlos A. S. Oliveira, Panos M. Pardalos
      Pages 55-67

    6. Minimizing the Fuel Consumption of a Multiobjective Vehicle Routing Problem Using the Parallel Multi-Start NSGA II Algorithm

      • Iraklis-Dimitrios Psychas, Magdalene Marinaki, Yannis Marinakis, Athanasios Migdalas
      Pages 69-88

    7. Manifold Location Routing Problem with Applications in Network Theory

      • Emre Tokgoz, Theodore B. Trafalis
      Pages 89-114

    8. A Branch and Bound Algorithm for the Cell Formation Problem

      • Irina Utkina, Mikhail Batsyn
      Pages 115-124

  3. Network Data Mining

    1. Front Matter

      Pages 125-125
      Download chapter PDF

    2. Hybrid Community Detection in Social Networks

      • Hongwei Du, Weili Wu, Lei Cui, Ding-Zhu Du
      Pages 127-133

    3. Spectral Properties of Financial Correlation Matrices

      • Maxim Kazakov, Valery A. Kalyagin
      Pages 135-156

    4. Statistical Uncertainty of Minimum Spanning Tree in Market Network

      • Anastasia Komissarova, Petr Koldanov
      Pages 157-163

    5. Identification of Cliques and Independent Sets in Pearson and Fechner Correlations Networks

      • Oleg Kremnyov, Valery A. Kalyagin
      Pages 165-173

    6. Investigation of Connections Between Pearson and Fechner Correlations in Market Network: Experimental Study

      • Andrey Latyshev, Petr Koldanov
      Pages 175-182

    7. Testing the Stationarity of Sign Coincidence in Market Network

      • Dmitry E. Mozokhin, Alexander P. Koldanov
      Pages 183-196

    8. Synchronization and Network Measures in a Concussion EEG Paradigm

      • Ioannis Pappas, Gianluca Del Rossi, John Lloyd, Joseph Gutmann, James Sackellares, Panos M. Pardalos
      Pages 197-208

    9. Video-Based Pedestrian Detection on Mobile Phones with the Cascade Classifiers

      • Ksenia G. Shipova, Andrey V. Savchenko
      Pages 209-216

    10. Clustering in Financial Markets

      • Kristina Sörensen, Panos M. Pardalos
      Pages 217-246

  4. Economics and Other Applications

    1. Front Matter

      Pages 247-247
      Download chapter PDF
Back to top

Other volumes

  1. Models, Algorithms and Technologies for Network Analysis

Keywords

About this book

The contributions in this volume cover a broad range of topics including maximum cliques, graph coloring, data mining, brain networks, Steiner forest, logistic and supply chain networks. Network algorithms and their applications to market graphs, manufacturing problems, internet networks and social networks are highlighted. The "Fourth International Conference in Network Analysis," held at the Higher School of Economics, Nizhny Novgorod in May 2014, initiated joint research between scientists, engineers and researchers from academia, industry and government; the major results of conference participants have been reviewed and collected in this Work. 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.

Editors and Affiliations

  • Laboratory of Algorithms and Technologies for Network Analysis (LATNA), National Research University Higher School of Economics, Nizhny Novgorod, Russia

    Valery A. Kalyagin, Petr A. Koldanov

  • Department of Industrial and System Engineering, Center for Applied Optimization University of Florida, Gainesville, USA

    Panos M. Pardalos

Bibliographic Information

  • Book Title: Models, Algorithms and Technologies for Network Analysis

  • Book Subtitle: NET 2014, Nizhny Novgorod, Russia, May 2014

  • Editors: Valery A. Kalyagin, Petr A. Koldanov, Panos M. Pardalos

  • Series Title: Springer Proceedings in Mathematics & Statistics

  • DOI: https://doi.org/10.1007/978-3-319-29608-1

  • Publisher: Springer Cham

  • eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)

  • Copyright Information: Springer International Publishing Switzerland 2016

  • Hardcover ISBN: 978-3-319-29606-7Published: 21 October 2016

  • Softcover ISBN: 978-3-319-80607-5Published: 28 June 2018

  • eBook ISBN: 978-3-319-29608-1Published: 20 October 2016

  • Series ISSN: 2194-1009

  • Series E-ISSN: 2194-1017

  • Edition Number: 1

  • Number of Pages: XVI, 340

  • Number of Illustrations: 25 b/w illustrations, 82 illustrations in colour

  • Topics: Algorithms, Combinatorics, Operations Research, Management Science

Publish with us

Policies and ethics

Back to top

Search

Navigation