Computational Aspects and Applications in Large-Scale Networks

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 ofCo-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.