From Security to Community Detection in Social Networking Platforms

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Springer


Collection :

Lecture Notes in Social Networks

Paru le : 2019-04-09

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Description

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.
Pages
237 pages
Collection
Lecture Notes in Social Networks
Parution
2019-04-09
Marque
Springer
EAN papier
9783030112851
EAN PDF
9783030112868

Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
23
Taille du fichier
7045 Ko
Prix
137,14 €
EAN EPUB
9783030112868

Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
23
Taille du fichier
25917 Ko
Prix
137,14 €