Social Networking

Mining, Visualization, and Security

  • Mrutyunjaya Panda
  • Satchidananda Dehuri
  • Gi-Nam Wang

Part of the Intelligent Systems Reference Library book series (ISRL, volume 65)

Table of contents

  1. Front Matter
    Pages 1-20
  2. Alireza Louni, K. P. Subbalakshmi
    Pages 1-22
  3. Saptarshi Ghosh, Niloy Ganguly
    Pages 23-44
  4. Sagar S. De, Satchidananda Dehuri
    Pages 45-83
  5. Ahmed Ibrahem Hafez, Aboul Ella Hassanien, Aly A. Fahmy
    Pages 85-99
  6. B. K. Tripathy, M. S. Sishodia, Sumeet Jain
    Pages 101-127
  7. Sanjiv Sharma, G. N. Purohit
    Pages 129-146
  8. B. K. Tripathy, M. S. Sishodia, Sumeet Jain, Anirban Mitra
    Pages 243-270
  9. Back Matter
    Pages 297-297

About this book


With the proliferation of social media and on-line communities in networked world a large gamut of data has been collected and stored in databases. The rate at which such data is stored is growing at a phenomenal rate and pushing the classical methods of data analysis to their limits. This book presents an integrated framework of recent empirical and theoretical research on social network analysis based on a wide range of techniques from various disciplines like data mining, social sciences, mathematics, statistics, physics, network science, machine learning with visualization techniques, and security. The book illustrates the potential of multi-disciplinary techniques in various real life problems and intends to motivate researchers in social network analysis to design more effective tools by integrating swarm intelligence and data mining.



Computational Intelligence Data Mining Social Networks Social Network Analysis Social Network Privacy Social Network Security Social Networking Social Networks Swarm Intelligence

Editors and affiliations

  • Mrutyunjaya Panda
    • 1
  • Satchidananda Dehuri
    • 2
  • Gi-Nam Wang
    • 3
  1. 1.Gandhi Institute for Technological AdvancementBhubaneswarIndia
  2. 2.Department of Systems EngineeringAjou UniversityYeongtong-guKorea, Republic of (South Korea)
  3. 3.Department of Industrial EngineeringAjou UniversityYeongtong-guKorea, Republic of (South Korea)

Bibliographic information

  • DOI
  • Copyright Information Springer International Publishing Switzerland 2014
  • Publisher Name Springer, Cham
  • eBook Packages Engineering Engineering (R0)
  • Print ISBN 978-3-319-05163-5
  • Online ISBN 978-3-319-05164-2
  • Series Print ISSN 1868-4394
  • Series Online ISSN 1868-4408
  • Buy this book on publisher's site