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Titlebook: Models, Algorithms, and Technologies for Network Analysis; NET 2016, Nizhny Nov Valery A. Kalyagin,Alexey I. Nikolaev,Oleg A. Prok Conferen

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发表于 2025-3-21 17:02:54 | 显示全部楼层 |阅读模式
书目名称Models, Algorithms, and Technologies for Network Analysis
副标题NET 2016, Nizhny Nov
编辑Valery A. Kalyagin,Alexey I. Nikolaev,Oleg A. Prok
视频video
概述Introduces current theories and applications in optimization methods and network models.Contains new efficient algorithms and rigorous mathematical theories.Features applications to social networks, p
丛书名称Springer Proceedings in Mathematics & Statistics
图书封面Titlebook: Models, Algorithms, and Technologies for Network Analysis; NET 2016, Nizhny Nov Valery A. Kalyagin,Alexey I. Nikolaev,Oleg A. Prok Conferen
描述.This valuable source for graduate students and researchers provides a comprehensive introduction to current theories and applications in optimization methods and network models. Contributions to this book are focused on new efficient algorithms and rigorous mathematical theories, which can be used to optimize and analyze mathematical graph structures with massive size and high density induced by natural or artificial complex networks. Applications to social networks, power transmission grids, telecommunication networks, stock market networks, and human brain networks are presented..Chapters in this book cover the following topics:.Linear max min fairness.Heuristic approaches for high-quality solutions.Efficient approaches for complex multi-criteria optimization problems.Comparison of heuristic algorithms.New  heuristic iterative local search .Power in network structures.Clustering nodes in random graphs.Power transmission grid structure.Network decomposition problems.Homogeneity hypothesis testing.Network analysis of international migration.Social networks with node attributes.Testing hypothesis on degree distribution in the market graphs.Machine learning applications to human bra
出版日期Conference proceedings 2017
关键词machine learning; multi-layered modeling; efficient algorithms; complex networks; social networks; power
版次1
doihttps://doi.org/10.1007/978-3-319-56829-4
isbn_softcover978-3-319-86012-1
isbn_ebook978-3-319-56829-4Series ISSN 2194-1009 Series E-ISSN 2194-1017
issn_series 2194-1009
copyrightSpringer International Publishing AG 2017
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Models, Algorithms, and Technologies for Network AnalysisNET 2016, Nizhny Nov
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Conference proceedings 2017 methods and network models. Contributions to this book are focused on new efficient algorithms and rigorous mathematical theories, which can be used to optimize and analyze mathematical graph structures with massive size and high density induced by natural or artificial complex networks. Applicatio
发表于 2025-3-22 11:43:12 | 显示全部楼层
2194-1009 matical theories.Features applications to social networks, p.This valuable source for graduate students and researchers provides a comprehensive introduction to current theories and applications in optimization methods and network models. Contributions to this book are focused on new efficient algor
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https://doi.org/10.1007/978-3-319-56829-4machine learning; multi-layered modeling; efficient algorithms; complex networks; social networks; power
发表于 2025-3-23 08:04:48 | 显示全部楼层
Valery A. Kalyagin,Alexey I. Nikolaev,Oleg A. ProkIntroduces current theories and applications in optimization methods and network models.Contains new efficient algorithms and rigorous mathematical theories.Features applications to social networks, p
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