Lecture Notes in Social Networks

From Security to Community Detection in Social Networking Platforms

Editors: Karampelas, Panagiotis, Kawash, Jalal, Ozyer, Tansel (Eds.)

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  • Contains state-of-the-art methodologies for community detection
  • Features prediction techniques based on social network analysis
  • Includes detailed tables, illustrative figures, and techniques for graph analysis
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eBook 96,29 €
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  • ISBN 978-3-030-11286-8
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Hardcover 124,79 €
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About this book

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.

Table of contents (10 chapters)

Table of contents (10 chapters)

Buy this book

eBook 96,29 €
price for Spain (gross)
  • ISBN 978-3-030-11286-8
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • Immediate eBook download after purchase and usable on all devices
  • Bulk discounts available
Hardcover 124,79 €
price for Spain (gross)
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Bibliographic Information

Bibliographic Information
Book Title
From Security to Community Detection in Social Networking Platforms
Editors
  • Panagiotis Karampelas
  • Jalal Kawash
  • Tansel Ozyer
Series Title
Lecture Notes in Social Networks
Copyright
2019
Publisher
Springer International Publishing
Copyright Holder
Springer Nature Switzerland AG
eBook ISBN
978-3-030-11286-8
DOI
10.1007/978-3-030-11286-8
Hardcover ISBN
978-3-030-11285-1
Series ISSN
2190-5428
Edition Number
1
Number of Pages
X, 237
Number of Illustrations
28 b/w illustrations, 70 illustrations in colour
Topics