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Algorithms and Models for Network Data and Link Analysis
Francois Fouss
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Description for Algorithms and Models for Network Data and Link Analysis
hardcover. A hands-on, entry-level guide to algorithms for extracting information about social and economic behavior from network data. Num Pages: 543 pages, 14 b/w illus. 7 tables. BIC Classification: UMB; UTF. Category: (P) Professional & Vocational. Dimension: 267 x 229 x 35. Weight in Grams: 1146.
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 ... Read more
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 ... Read more
Product Details
Publisher
Cambridge University Press
Format
Hardback
Publication date
2016
Condition
New
Weight
1145g
Number of Pages
543
Place of Publication
Cambridge, United Kingdom
ISBN
9781107125773
SKU
V9781107125773
Shipping Time
Usually ships in 7 to 11 working days
Ref
99-8
About Francois Fouss
Francois Fouss received his PhD from the Universite 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 Universite Libre de Bruxelles, Belgium. He is now Professor ... Read more
Reviews for Algorithms and Models for Network Data and Link Analysis
'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, Universite Catholique de Louvain, Belgium 'An impressive compilation of motivation, derivations, and algorithms for a wealth of methods ... Read more