Editors:
- Presents the latest advances in CSNs, and illustrates how organizations can gain a competitive advantage from a better understanding of complex social networks
- Discusses the design and use of a wide range of computational tools and software for social network analysis, with a focus on knowledge discovery and visualization of complex networks
- Provides experience reports, survey articles, and intelligence techniques and theories relating to specific problems in network technology
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Table of contents (14 chapters)
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Front Matter
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Mining
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Front Matter
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Mining
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Visualization
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Front Matter
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Visualization
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Back Matter
About this book
Editors and Affiliations
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Auburn, USA
Ajith Abraham
Bibliographic Information
Book Title: Computational Social Networks
Book Subtitle: Mining and Visualization
Editors: Ajith Abraham
DOI: https://doi.org/10.1007/978-1-4471-4054-2
Publisher: Springer London
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag London 2012
Hardcover ISBN: 978-1-4471-4053-5Published: 15 August 2012
Softcover ISBN: 978-1-4471-6237-7Published: 20 September 2014
eBook ISBN: 978-1-4471-4054-2Published: 14 August 2012
Edition Number: 1
Number of Pages: XIV, 386
Topics: Computer Communication Networks, Database Management, User Interfaces and Human Computer Interaction, Computers and Society