Computational Aspects and Applications in LargeScale Networks NET 2017, Nizhny Novgorod, Russia, June 2017
Contributions in this volume focus on computationally efficient algorithms and rigorous mathematical theories for analyzing largescale networks. Researchers and students in mathematics, economics, statistics, computer science and engineering will find this collection a valuable resource filled with...
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Format:  eBook 
Language:  English 
Published: 
Cham
Springer International Publishing
2018, 2018

Edition:  1st ed. 2018 
Series:  Springer Proceedings in Mathematics & Statistics

Subjects:  
Online Access:  
Collection:  Springer eBooks 2005  Collection details see MPG.ReNa 
Table of Contents:
 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 ofCoauthorship Networks and Scientific Citation Based on Google Scholar
 Sidorov, S., Faizliev, A., Balash, V., Gudkov, A., Chekmareva, A. and Anikin, P: Company CoMention Network Analysis
 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 Bicoordinate 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
 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: FPTalgorithms for The Shortest Lattice Vector and Integer Linear Programming Problems
 Kharchevnikova, A. and Savchenko, A: The VideoBased Age and Gender Recognition with Convolution Neural Networks
 Mokeev, D. B: On forbidden Induced Subgraphs for the Class of TriangleKonig 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