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Bibframe Work

Title
Computational Aspects and Applications in Large-Scale Networks
Type
Text
Monograph
Contribution
Kalyagin, Valery A. (editor)
Pardalos, P. M. (Panos M.), 1954- (editor)
Prokopyev, Oleg (editor)
Utkina, Irina (editor)
Classification
DDC: 519.6 full (Source: 23)
Content
text (txt)
Summary
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
Table Of Contents
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
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Computational Aspects and Applications in Large-Scale Networks