Computational Aspects and Applications in Large-Scale Networks

TRAMA

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.

SOMMARIO

Part I: Network computational algorithms 1.               Tabu Search for Fleet Size and Mix Vehicle Routing Problem with Hard and Soft Time Windows Mikhail Batsyn, Ilya Bychkov, Larisa Komosko and Alexey Nikolaev   2.               FPT-algorithms for The Shortest Lattice Vector and Integer Linear Programming Problems Dmitry Gribanov          3.               The Video-Based Age and Gender Recognition with Convolution Neural Networks Angelina Kharchevnikova and Andrey Savchenko     4.               On forbidden induced subgraphs for the class of triangle-Konig graphs Dmitry B. Mokeev        5.               The Global Search Theory Approach to the Bilevel Pricing Problem in Telecommunication Networks Andrei Orlov    6.               Graph dichotomy algorithm and its applications to analysis of stocks market Alexander Rubchinsky   7.               Cluster analysis of facial video data in video surveillance systems using deep learning Anastasiia Sokolova and Andrey Savchenko   8.               Using modular decomposition technique to solve the maximum clique problem Irina Utkina   Part II: Network Models 9.               Robust statistical procedures for testing dynamics in market network Alexander Koldanov and Maria Voronina      10.            Application of Market Models to Network Equilibrium Problems Igor Konnov      11.            Selective Bi-coordinate Variations for Network Equilibrium Problems with Mixed Demand Igor Konnov and Olga Pinyagina       12.            Developing a Model of Topological Structure Formation for Power Transmission Grids Based on the Analysis of the UNEG Sergey Makrushin        13.            Methods of criteria importance theory and their software implementation Andrey Nelyubin, Vladislav Podinovski and Mikhail Potapov          14.            A Model of Optimal Network Structure for Decentralized Nearest Neighbor Search Alexander Ponomarenko, Irina Utkina and Mikhail Batsyn   15.            Computational Study of Activation Dynamics on Networks of Arbitrary Structure Alexander Semenov, Dmitry Gorbatenko and Stepan Kochemazov   16.            Rejection graph for multiple testing of elliptical model for market network Dmitry Semenov and Petr Koldanov   17.            Mapping Paradigms of Social Sciences: application of network analysis Dmitry Zaytsev and Daria Drozdova   Part III: Network Applications 18.            Using Geometry of the Set of Symmetric Positive Semidefinite Matrices to Classify Structural Brain Networks Mikhail Belyaev, Yulia Dodonova, Daria Belyaeva, Egor Krivov, Boris Gutman, Joshua Faskowitz, Neda Jahanshad and Paul Thompson        19.            Comparison of statistical procedures for Gaussian graphical model selection Ivan Grechikhin and Valery Kalyagin   20.            Sentiment Analysis Using Deep Learning Nikolay Karpov and Alexander Lyashuk and Arsenii Vizgunov   21.            Invariance properties of statistical procedures for network structures identification Petr Koldanov 22.            Topological modules of human brain networks are anatomically embedded: evidence from modularity analysis at multiple scales Anvar Kurmukov, Yulia Dodonova, Margarita Burova, Ayagoz Mussabayeva, Dmitry Petrov, Joshua Faskowitz and Leonid Zhukov            23.            Commercial Astroturfing Detection in Social Networks Nadezhda Kostyakova, Ilia Karpov, Ilya Makarov and Leonid E. Zhukov     24.            Information Propagation Strategies in Online Social Networks Rodion Laptsuev, Marina Ananyeva, Dmitry Meinster, Ilia Karpov, Ilya Makarov and Leonid E. Zhukov   25.            Analysis of co-authorship networks and scientific citation based on Google Scholar Nataliya Matveeva and Oleg Poldin    26.            Company Co-Mention Network Analysis Sergei Sidorov, Alexey Faizliev, Vladimir Balash, Alexandr Gudkov, Alfia Chekmareva and Pavel Anikin    

AUTORE

ALTRE INFORMAZIONI

• Condizione: Nuovo
• ISBN: 9783319962467
• Collana: Springer Proceedings in Mathematics & Statistics
• Dimensioni: 235 x 155 mm Ø 723 gr
• Formato: Copertina rigida
• Illustration Notes: XVII, 354 p. 68 illus., 41 illus. in color.
• Pagine Arabe: 354
• Pagine Romane: xvii