Items related to Algorithms and Models for Network Data and Link Analysis
Synopsis
Network data are produced automatically by everyday interactions - social networks, power grids, and links between data sets are a few examples. Such data capture social and economic behavior in a form that can be analyzed using powerful computational tools. This book is a guide to both basic and advanced techniques and algorithms for extracting useful information from network data. The content is organized around 'tasks', grouping the algorithms...
About the Authors
François Fouss received his PhD from the Université catholique de Louvain, Belgium, where he is now Professor of Computer Science. His research and teaching interests include artificial intelligence, data mining, machine learning, pattern recognition, and natural language processing, with a focus on graph-based techniques.
Marco Saerens received his PhD from the Université Libre de Bruxelles, Belgium. He is now Professor of Computer Science at the Université catholique de...
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- PublisherCambridge University Press
- Publication date2016
- ISBN 10 1107125774
- ISBN 13 9781107125773
- BindingHardcover
- LanguageEnglish
- Number of pages543
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Algorithms and Models for Network Data and Link Analysis
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Cambridge University Press, 2016
ISBN 10: 1107125774
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Algorithms and Models for Network Data and Link Analysis
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Algorithms and Models for Network Data and Link Analysis
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ISBN 13: 9781107125773
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Algorithms and Models for Network Data and Link Analysis (Hardcover)
Published by
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ISBN 10: 1107125774
ISBN 13: 9781107125773
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Hardcover. Condition: new. Hardcover. Network data are produced automatically by everyday interactions - social networks, power grids, and links between data sets are a few examples. Such data capture social and economic behavior in a form that can be analyzed using powerful computational tools. This book is a guide to both basic and advanced techniques and algorithms for extracting useful information from network data. The content is organized around 'tasks', grouping the algorithms needed to gather specific types of information and thus answer specific types of questions. Examples include similarity between nodes in a network, prestige or centrality of individual nodes, and dense regions or communities in a network. Algorithms are derived in detail and summarized in pseudo-code. The book is intended primarily for computer scientists, engineers, statisticians and physicists, but it is also accessible to network scientists based in the social sciences. MATLAB/Octave code illustrating some of the algorithms will be available at: Network data capture social and economic behavior in a form that can be analyzed using computational tools. In this entry-level guide, algorithms for extracting information are derived in detail and summarized in pseudo-code. This book is intended primarily for computer scientists, engineers, statisticians, and physicists, but it is also accessible to social network scientists more broadly. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9781107125773
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Algorithms and Models for Network Data and Link Analysis
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Algorithms and Models for Network Data and Link Analysis
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Algorithms and Models for Network Data and Link Analysis (Hardcover)
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ISBN 10: 1107125774
ISBN 13: 9781107125773
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Hardcover. Condition: new. Hardcover. Network data are produced automatically by everyday interactions - social networks, power grids, and links between data sets are a few examples. Such data capture social and economic behavior in a form that can be analyzed using powerful computational tools. This book is a guide to both basic and advanced techniques and algorithms for extracting useful information from network data. The content is organized around 'tasks', grouping the algorithms needed to gather specific types of information and thus answer specific types of questions. Examples include similarity between nodes in a network, prestige or centrality of individual nodes, and dense regions or communities in a network. Algorithms are derived in detail and summarized in pseudo-code. The book is intended primarily for computer scientists, engineers, statisticians and physicists, but it is also accessible to network scientists based in the social sciences. MATLAB/Octave code illustrating some of the algorithms will be available at: Network data capture social and economic behavior in a form that can be analyzed using computational tools. In this entry-level guide, algorithms for extracting information are derived in detail and summarized in pseudo-code. This book is intended primarily for computer scientists, engineers, statisticians, and physicists, but it is also accessible to social network scientists more broadly. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9781107125773
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Algorithms and Models for Network Data and Link Analysis
Published by
Cambridge University Press, 2016
ISBN 10: 1107125774
ISBN 13: 9781107125773
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Algorithms and Models for Network Data and Link Analysis (Hardcover)
Published by
Cambridge University Press, Cambridge, 2016
ISBN 10: 1107125774
ISBN 13: 9781107125773
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Hardcover. Condition: new. Hardcover. Network data are produced automatically by everyday interactions - social networks, power grids, and links between data sets are a few examples. Such data capture social and economic behavior in a form that can be analyzed using powerful computational tools. This book is a guide to both basic and advanced techniques and algorithms for extracting useful information from network data. The content is organized around 'tasks', grouping the algorithms needed to gather specific types of information and thus answer specific types of questions. Examples include similarity between nodes in a network, prestige or centrality of individual nodes, and dense regions or communities in a network. Algorithms are derived in detail and summarized in pseudo-code. The book is intended primarily for computer scientists, engineers, statisticians and physicists, but it is also accessible to network scientists based in the social sciences. MATLAB/Octave code illustrating some of the algorithms will be available at: Network data capture social and economic behavior in a form that can be analyzed using computational tools. In this entry-level guide, algorithms for extracting information are derived in detail and summarized in pseudo-code. This book is intended primarily for computer scientists, engineers, statisticians, and physicists, but it is also accessible to social network scientists more broadly. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Seller Inventory # 9781107125773
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