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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.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 Nikolaev2. 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
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