From Security to Community Detection in Social Networking Platforms - Couverture rigide

Couverture rigide

ISBN 10 : 3030112853 ISBN 13 : 9783030112851

Editeur : Springer Nature Switzerland AG, 2019

Synopsis

This book focuses on novel and state-of-the-art scientific work in the area of detection and prediction techniques using information found generally in graphs and particularly in social networks. Community detection techniques are presented in diverse contexts and for different applications while prediction methods for structured and unstructured data are applied to a variety of fields such as financial systems, security forums, and social networks. The rest of the book focuses on graph-based techniques for data analysis such as graph clustering and edge sampling.

The research presented in this volume was selected based on solid reviews from the IEEE/ACM International Conference on Advances in Social Networks, Analysis, and Mining (ASONAM '17). Chapters were then improved and extended substantially, and the final versions were rigorously reviewed and revised to meet the series standards. This book will appeal to practitioners, researchers and students in the field.

Détails de l'édition

• Éditeur: Springer Nature Switzerland AG
• Date d'édition: 2019
• Langue: anglais
• ISBN 10: 3030112853
• ISBN 13: 9783030112851
• Reliure: Relié
• Numéro d'édition: 1
• Nombre de pages: 247
• Éditeur: Karampelas Panagiotis, Kawash Jalal, Özyer Tansel
• Coordonnées du fabricant: Springer Nature Customer Service Center GmbH; ProductSafety@springernature.com; ; Europaplatz 3; Heidelberg; 69115; Allemagne