From Security to Community Detection in Social Networking Platforms

Book Description

This book focuses on novel and state-of-the-art work in the area of detection and prediction techniques using found generally in and particularly in social . 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 . The of the book focuses on graph-based techniques for 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.

Book Details

  • Title: From Security to Community Detection in Social Networking Platforms
  • Author: , ,
  • Length: 237 pages
  • Edition: 1st ed. 2019
  • Language: English
  • Publisher:
  • Publication Date: 2019-04-09
  • ISBN-10: 3030112853
  • ISBN-13: 9783030112851
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