Models, Algorithms, and Technologies for Network Analysis
Language: English
Published by Springer International Publishing Aug 2018, 2018
Series: Book 197 of 464 - Springer Proceedings in Mathematics & Statistics
- Softcover
- New
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.
AbeBooks seller since January 11, 2012
Condition: New
£ 94.74
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Add to basketItem description from seller
This item is printed on demand - it takes 3-4 days longer - Neuware -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 fairnessHeuristic approaches for high-quality solutionsEfficient approaches for complex multi-criteria optimization problemsComparison of heuristic algorithmsNew heuristic iterative local searchPower in network structuresClustering nodes in random graphsPower transmission grid structureNetwork decomposition problemsHomogeneity hypothesis testingNetwork analysis of international migrationSocial networks with node attributesTesting hypothesis on degree distribution in the market graphsMachine learning applications to human brain network studiesThis proceeding is a result of The 6th International Conference on Network Analysis held at the Higher School of Economics, Nizhny Novgorod in May 2016. The conference brought together scientists and engineers from industry, government, and academia to discuss the links between network analysis and a variety of fields. 292 pp. Englisch.…
Seller Inventory # 9783319860121
- Title
- Models, Algorithms, and Technologies for Network Analysis
- Author
- Valery A. Kalyagin
- Publisher
- Springer International Publishing Aug 2018
- Publication year
- 2018
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 3319860127
- ISBN 13
- 9783319860121
- Item weight
- 446 grams
- Dimensions
- 235x155x16 mm
- Series
- Book 197 of 464: Springer Proceedings in Mathematics & Statistics
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 brain network studies
This proceeding is a result of The 6th International Conference on Network Analysis held at the Higher School of Economics, Nizhny Novgorod in May 2016. The conference brought together scientists and engineers from industry, government, and academia to discuss the links between network analysis and a variety of fields.
"Synopsis" may belong to another edition of this title.
From the Back Cover
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 inrandom 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 brain network studies
This proceeding is a result of The 6th International Conference on Network Analysis held at the Higher School of Economics, Nizhny Novgorod in May 2016. The conference brought together scientists and engineers from industry, government, and academia to discuss the links between network analysis and a variety of fields.
"About the title" may belong to another edition of this title.
BuchWeltWeit Ludwig Meier e.K.
Bergisch Gladbach, Germany
AbeBooks seller since January 11, 2012
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