From Security to Community Detection in Social Networking Platforms (Hardcover, 1st ed. 2019)

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.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Series:	Lecture Notes in Social Networks
Release date:	April 2019
First published:	2019
Editors:	Panagiotis Karampelas • Jalal Kawash • Tansel Ozyer
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	237
Edition:	1st ed. 2019
ISBN-13:	978-3-03-011285-1
Categories:	Books > Computing & IT > Computer communications & networking > Network security Books > Computing & IT > Internet > General Books > Computing & IT > Social & legal aspects of computing > General Books > Computing & IT > Applications of computing > Databases > Data mining
LSN:	3-03-011285-3
Barcode:	9783030112851

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