Articles liés à Algorithms and Models for Network Data and Link Analysis
Synopsis
Algorithms And Models For Network Data And Link Analysis by François Fouss, 9781107125773, Cambridge University Press, 2016, Hardcover
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Revue de presse
'This is a remarkable book that contains a coherent and unified presentation of many recent network data analysis concepts and algorithms. Rich with details and references, this is a book from which faculty and students alike will learn a lot!' Vincent Blondel, Université Catholique de Louvain, Belgium
'An impressive compilation of motivation, derivations, and algorithms for a wealth of methods relevant to assessing distance and (dis)similarity, importance, labeling, and clustering of network nodes and links - tasks fundamental to network analysis in practice. The gathering of diverse elements from random walks, kernels, and other interrelated topics is particularly welcome.' Eric D. Kolaczyk, Boston University
'This is a reader-friendly up-to-date book covering all the major topics in static network data analysis. It both exposes the reader to the most advanced ideas in the field and provides the researcher with a toolbox of techniques to explore various structures: models involving the graph Laplacian, regularization methods, and Markov interpretations feature in this toolbox, among others.' Pavel Chebotarev, Institute of Control Sciences, Russian Academy of Sciences
Présentation de l'éditeur
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: http://www.cambridge.org/9781107125773.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
- ÉditeurCambridge University Press
- Date d'édition2016
- ISBN 10 1107125774
- ISBN 13 9781107125773
- ReliureRelié
- Langueanglais
- Nombre de pages543
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Algorithms and Models for Network Data and Link Analysis
Edité par
Cambridge University Press, 2016
ISBN 10 : 1107125774
ISBN 13 : 9781107125773
Ancien ou d'occasion
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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
Edité par
Cambridge University Press, 2016
ISBN 10 : 1107125774
ISBN 13 : 9781107125773
Neuf
Couverture rigide
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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)
Edité par
Cambridge University Press, Cambridge, 2016
ISBN 10 : 1107125774
ISBN 13 : 9781107125773
Neuf
Couverture rigide
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Hardcover. Etat : 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. N° de réf. du vendeur 9781107125773
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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)
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Cambridge University Press, Cambridge, 2016
ISBN 10 : 1107125774
ISBN 13 : 9781107125773
Neuf
Couverture rigide
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Hardcover. Etat : 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. N° de réf. du vendeur 9781107125773
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Algorithms and Models for Network Data and Link Analysis
Edité par
Cambridge University Press, 2016
ISBN 10 : 1107125774
ISBN 13 : 9781107125773
Ancien ou d'occasion
Couverture rigide
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Algorithms and Models for Network Data and Link Analysis (Hardcover)
Edité par
Cambridge University Press, Cambridge, 2016
ISBN 10 : 1107125774
ISBN 13 : 9781107125773
Neuf
Couverture rigide
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Hardcover. Etat : 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. N° de réf. du vendeur 9781107125773
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