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Social Networks and Surveillance for Society

  • Book
  • © 2019

Overview

  • Describes state-of-the-art social network analysis techniques for surveillance and privacy
  • Contains case studies showing how various domains such as cyber forensics benefit from social network analysis
  • Includes practical test results from synthetic and real data

Part of the book series: Lecture Notes in Social Networks (LNSN)

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Table of contents (10 chapters)

Keywords

About this book

This book focuses on recent technical advancements and state-of-the art technologies for analyzing characteristic features and probabilistic modelling of complex social networks and decentralized online network architectures. Such research results in applications related to surveillance and privacy, fraud analysis, cyber forensics, propaganda campaigns, as well as for online social networks such as Facebook. The text illustrates the benefits of using advanced social network analysis methods through application case studies based on practical test results from synthetic and real-world data. This book will appeal to researchers and students working in these areas. 

Editors and Affiliations

  • Department of Computer Engineering, TOBB University of Economics and Technology, Ankara, Turkey

    Tansel Özyer

  • Department of Computer Engineering, National Institute of Technology Rourkela, Rourkela, India

    Sambit Bakshi

  • Department of Computer Science, University of Calgary, Calgary, Canada

    Reda Alhajj

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