Editors:
- 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)
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Front Matter
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Back Matter
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
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Gandhi Institute for Technological Advancement, Bhubaneswar, India
Mrutyunjaya Panda
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Department of Systems Engineering, Ajou University, Yeongtong-gu, Korea, Republic of (South Korea)
Satchidananda Dehuri
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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)
Industry Sectors: Aerospace, Automotive, Biotechnology, Chemical Manufacturing, Consumer Packaged Goods, Electronics, Energy, Utilities & Environment, Engineering, Finance, Business & Banking, Health & Hospitals, IT & Software, Law, Materials & Steel, Oil, Gas & Geosciences, Pharma, Telecommunications