Hybrid Intelligence for Social Networks
Editors: Banati, H., Bhattacharyya, S., Mani, A., Köppen, M. (Eds.)
Free Preview- Contributions provide a multidimensional approach
- Useful reference for graduate students and researchers in computer science, electronics engineering, communications, and information technology
- Explains techniques used to develop robust, time-efficient, fail-safe hybrid intelligent systems
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- About this book
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This book explains aspects of social networks, varying from development and application of new artificial intelligence and computational intelligence techniques for social networks to understanding the impact of social networks. Chapters 1 and 2 deal with the basic strategies towards social networks such as mining text from such networks and applying social network metrics using a hybrid approach; Chaps. 3 to 8 focus on the prime research areas in social networks: community detection, influence maximization and opinion mining. Chapter 9 to 13 concentrate on studying the impact and use of social networks in society, primarily in education, commerce, and crowd sourcing.
The contributions provide a multidimensional approach, and the book will serve graduate students and researchers as a reference in computer science, electronics engineering, communications, and information technology.
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Bibliographic Information
- Bibliographic Information
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- Book Title
- Hybrid Intelligence for Social Networks
- Editors
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- Hema Banati
- Siddhartha Bhattacharyya
- Ashish Mani
- Mario Köppen
- Copyright
- 2017
- Publisher
- Springer International Publishing
- Copyright Holder
- Springer International Publishing AG
- eBook ISBN
- 978-3-319-65139-2
- DOI
- 10.1007/978-3-319-65139-2
- Hardcover ISBN
- 978-3-319-65138-5
- Edition Number
- 1
- Number of Pages
- XIV, 327
- Number of Illustrations
- 37 b/w illustrations, 105 illustrations in colour
- Topics
