Computational Aspects and Applications in Large-Scale Networks NET 2017, Nizhny Novgorod, Russia, June 2017 /

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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Kalyagin, Valery A. (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Pardalos, Panos M. (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Prokopyev, Oleg (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Utkina, Irina (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2018.
Έκδοση:1st ed. 2018.
Σειρά:Springer Proceedings in Mathematics & Statistics, 247
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • Part I: Network Computational Algorithms
  • Batsyn, M., Bychkov, I., Komosko, L. and Nikolaev, A: Tabu Search for Fleet Size and Mix Vehicle Routing Problem with Hard and Soft Time Windows
  • Gribanov, D: FPT-algorithms for The Shortest Lattice Vector and Integer Linear Programming Problems
  • Kharchevnikova, A. and Savchenko, A: The Video-Based Age and Gender Recognition with Convolution Neural Networks
  • Mokeev, D. B: On forbidden Induced Subgraphs for the Class of Triangle-Konig Graphs
  • Orlov, A: The Global Search Theory Approach to the Bilevel Pricing Problem in Telecommunication Networks
  • Rubchinsky, A: Graph Dichotomy Algorithm and Its Applications to Analysis of Stocks Market
  • Sokolova, A. and Savchenko, A: Cluster Analysis of Facial Video Data in Video Surveillance Systems Using Deep Learning
  • Utkina, I: Using Modular Decomposition Technique to Solve the Maximum Clique Problem
  • Part II: Network Models
  • Koldanov, A. and Voronina, M: Robust Statistical Procedures for Testing Dynamics in Market Network
  • Konnov, I: Application of Market Models to Network Equilibrium Problems
  • Konnov, I. and Pinyagina, O: Selective Bi-coordinate Variations for Network Equilibrium Problems with Mixed Demand
  • Makrushin, S: Developing a Model of Topological Structure Formation for Power Transmission Grids Based on the Analysis of the UNEG
  • Nelyubin, A., Podinovski, V. and Potapov, M: Methods of Criteria Importance Theory and Their Software Implementation
  • Ponomarenko, A., Utkina, I. and Batsyn, M: A Model of Optimal Network Structure for Decentralized Nearest Neighbor Search
  • Semenov, A., Gorbatenko, D. and Kochemazov, S: Computational Study of Activation Dynamics on Networks of Arbitrary Structure
  • Semenov, D. and Koldanov, P: Rejection Graph for Multiple Testing of Elliptical Model for Market Network
  • Zaytsev, D. and Drozdova, D: Mapping Paradigms of Social Sciences: Application of Network Analysis
  • Part III: Network Applications
  • Belyaev, M., Dodonova, Y., Belyaeva, D., Krivov, E., Gutman, B., Faskowitz, J., Jahanshad, N. and Thompson, P: Using Geometry of the Set of Symmetric Positive Semidefinite Matrices to Classify Structural Brain Networks
  • Grechikhin, I. and Kalyagin, V: Comparison of Statistical Procedures for Gaussian Graphical Model Selection
  • Karpov, N., Lyashuk, A. and Vizgunov, A: Sentiment Analysis Using Deep Learning
  • Koldanov, P: Invariance Properties of Statistical Procedures for Network Structures Identification
  • Kurmukov, A., Dodonova, Y., Burova, M., Mussabayeva, A., Petrov, D., Faskowitz, J. and Zhukov, L: Topological Modules of Human Brain Networks are Anatomically Embedded: Evidence from Modularity Analysis at Multiple Scales
  • Kostyakova, N., Karpov, I., Makarov, I. and Zhukov, L. E: Commercial Astroturfing Detection in Social Networks
  • Laptsuev, R., Ananyeva, M., Meinster, D., Karpov, I., Makarov, I. and Zhukov, L. E: Information Propagation Strategies in Online Social Networks
  • Matveeva, N. and Poldin, O: Analysis of Co-authorship Networks and Scientific Citation Based on Google Scholar
  • Sidorov, S., Faizliev, A., Balash, V., Gudkov, A., Chekmareva, A. and Anikin, P: Company Co-Mention Network Analysis.