© 2019

From Security to Community Detection in Social Networking Platforms

  • Panagiotis Karampelas
  • Jalal Kawash
  • Tansel Özyer


  • 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

Book ASONAM 2017

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

Table of contents

  1. Front Matter
    Pages i-x
  2. Andreea Nita, Steluta Manolache, Cristiana M. Ciocanea, Laurentiu Rozylowicz
    Pages 1-16
  3. Koray Ozturk, Faruk Polat, Tansel Özyer
    Pages 17-44
  4. Amani Chouchane, Oualid Boutemine, Mohamed Bouguessa
    Pages 45-78
  5. M. Amin Rigi, Irene Moser, M. Mehdi Farhangi
    Pages 79-107
  6. Esra Akbas, Peixiang Zhao
    Pages 109-131
  7. Samir Al-janabi, Ryszard Janicki
    Pages 159-169
  8. Sharyn O’Halloran, Nikolai Nowaczyk, Donal Gallagher, Vivek Subramaniam
    Pages 171-192
  9. Joobin Gharibshah, Tai Ching Li, Andre Castro, Konstantinos Pelechrinis, Evangelos E. Papalexakis, Michalis Faloutsos
    Pages 193-211
  10. Jacek Skryzalin, Richard Field Jr., Andrew Fisher, Travis Bauer
    Pages 213-230
  11. Back Matter
    Pages 231-237

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.


big data and social networks influence analysis pattern recognition recommendation systems prediction analysis big data streams sentiment analysis community detection environmental management structures mining actionable information

Editors and affiliations

  • Panagiotis Karampelas
    • 1
  • Jalal Kawash
    • 2
  • Tansel Özyer
    • 3
  1. 1.Department of Informatics & ComputersHellenic Air Force AcademyDekeliaGreece
  2. 2.Department of Computer ScienceUniversity of CalgaryCalgaryCanada
  3. 3.Department of Computer EngineeringTOBB University of Economics and TechnologyAnkaraTurkey

Bibliographic information

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