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Více informací o knize Algorithms and Models for Network Data and Link Analysis

• Parametry knihy
• Anotace
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Anotace knihy

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.

Parametry knihy

Zařazení knihy Knihy v angličtině Computing & information technology Computer programming / software development Algorithms & data structures

• Plný název: Algorithms and Models for Network Data and Link Analysis
• Autor: François Fouss, Marco Saerens, Masashi Shimbo
• Jazyk: Angličtina
• Vazba: Pevná
• Počet stran: 543
• EAN: 9781107125773
• ISBN: 1107125774
• ID: 02950934
• Nakladatelství: Cambridge University Press
• Hmotnost: 1150 g
• Rozměry: 267 × 229 × 35 mm
• Datum vydání: 12. July 2016

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