Algorithms and Models for Network Data and Link Analysis - Fouss, Francois; Saerens, Marco; Shimbo, Masashi
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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.

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Produktbeschreibung
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.
Autorenporträt
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.