Social Networking Mining, Visualization, and Security

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

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Mrutyunjaya Panda Satchidananda Dehuri Gi-Nam Wang Editors

Social Networking Mining, Visualization, and Security

Intelligent Systems Reference Library Volume 65

Series editors Janusz Kacprzyk, Polish Academy of Sciences, Warsaw, Poland e-mail: [email protected] Lakhmi C. Jain, University of Canberra, Canberra, Australia e-mail: [email protected]

For further volumes: http://www.springer.com/series/8578

About this Series The aim of this series is to publish a Reference Library, including novel advances and developments in all aspects of Intelligent Systems in an easily accessible and well structured form. The series includes reference works, handbooks, compendia, textbooks, well-structured monographs, dictionaries, and encyclopedias. It contains well integrated knowledge and current information in the field of Intelligent Systems. The series covers the theory, applications, and design methods of Intelligent Systems. Virtually all disciplines such as engineering, computer science, avionics, business, e-commerce, environment, healthcare, physics and life science are included.

Mrutyunjaya Panda · Satchidananda Dehuri Gi-Nam Wang Editors

Social Networking Mining, Visualization, and Security

ABC

Editors Mrutyunjaya Panda Gandhi Institute for Technological Advancement Bhubaneswar India

Gi-Nam Wang Department of Industrial Engineering Ajou University Korea Republic of (South Korea)

Satchidananda Dehuri Department of Systems Engineering Ajou University Korea Republic of (South Korea)

ISSN 1868-4394 ISBN 978-3-319-05163-5 DOI 10.1007/978-3-319-05164-2

ISSN 1868-4408 (electronic) ISBN 978-3-319-05164-2 (eBook)

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