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Social Networking

Mining, Visualization, and Security

  • Book
  • © 2014

Overview

Editors:
  1. Mrutyunjaya Panda

    1. Gandhi Institute for Technological Advancement, Bhubaneswar, India

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  2. Satchidananda Dehuri

    1. Department of Systems Engineering, Ajou University, Yeongtong-gu, Korea, Republic of (South Korea)

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    You can also search for this editor in PubMed   Google Scholar

  3. Gi-Nam Wang

    1. Department of Industrial Engineering, Ajou University, Yeongtong-gu, Korea, Republic of (South Korea)

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  • Presents recent research in Mining, Visualization and Security of Social Networking
  • Integrates swarm intelligence and data mining methods to analyze some of the data sources obtained for social network analysis
  • Written by experts in the field

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

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Table of contents (11 chapters)

  1. Front Matter

    Pages 1-20
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  2. Diffusion of Information in Social Networks

    • Alireza Louni, K. P. Subbalakshmi
    Pages 1-22

  3. Structure and Evolution of Online Social Networks

    • Saptarshi Ghosh, Niloy Ganguly
    Pages 23-44

  4. Machine Learning for Auspicious Social Network Mining

    • Sagar S. De, Satchidananda Dehuri
    Pages 45-83

  5. Testing Community Detection Algorithms: A Closer Look at Datasets

    • Ahmed Ibrahem Hafez, Aboul Ella Hassanien, Aly A. Fahmy
    Pages 85-99

  6. Societal Networks: The Networks of Dynamics of Interpersonal Associations

    • B. K. Tripathy, M. S. Sishodia, Sumeet Jain
    Pages 101-127

  7. Methods of Tracking Online Community in Social Network

    • Sanjiv Sharma, G. N. Purohit
    Pages 129-146

  8. Social Network Analysis Approach for Studying Caste, Class and Social Support in Rural Jharkhand and West Bengal: An Empirical Attempt

    • Anil Kumar Choudhuri, Rabindranath Jana
    Pages 147-200

  9. Evaluating the Propagation Strength of Malicious Metaphor in Social Network: Flow Through Inspiring Influence of Members

    • Manash Sarkar, Soumya Banerjee, Aboul Ella Hassanien
    Pages 201-213

  10. Social Network Analysis: A Methodology for Studying Terrorism

    • Aparna Basu
    Pages 215-242

  11. Privacy and Anonymization in Social Networks

    • B. K. Tripathy, M. S. Sishodia, Sumeet Jain, Anirban Mitra
    Pages 243-270

  12. On the Use of Brokerage Approach to Discover Influencing Nodes in Terrorist Networks

    • Nisha Chaurasia, Akhilesh Tiwari
    Pages 271-295

  13. Back Matter

    Pages 297-297
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Keywords

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.

Editors and Affiliations

  • Gandhi Institute for Technological Advancement, Bhubaneswar, India

    Mrutyunjaya Panda

  • Department of Systems Engineering, Ajou University, Yeongtong-gu, Korea, Republic of (South Korea)

    Satchidananda Dehuri

  • Department of Industrial Engineering, Ajou University, Yeongtong-gu, Korea, Republic of (South Korea)

    Gi-Nam Wang

Bibliographic Information

  • Book Title: Social Networking

  • Book Subtitle: Mining, Visualization, and Security

  • Editors: Mrutyunjaya Panda, Satchidananda Dehuri, Gi-Nam Wang

  • Series Title: Intelligent Systems Reference Library

  • DOI: https://doi.org/10.1007/978-3-319-05164-2

  • Publisher: Springer Cham

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer International Publishing Switzerland 2014

  • Hardcover ISBN: 978-3-319-05163-5Published: 24 March 2014

  • Softcover ISBN: 978-3-319-34413-3Published: 03 September 2016

  • eBook ISBN: 978-3-319-05164-2Published: 08 July 2014

  • Series ISSN: 1868-4394

  • Series E-ISSN: 1868-4408

  • Edition Number: 1

  • Number of Pages: XXII, 297

  • Number of Illustrations: 63 b/w illustrations

  • Topics: Computational Intelligence, Artificial Intelligence, Information Systems Applications (incl. Internet)

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