Hybrid Intelligence for Social Networks

Editors: Banati, H., Bhattacharyya, S., Mani, A., Köppen, M. (Eds.)

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  • 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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eBook 107,09 €
price for Spain (gross)
  • ISBN 978-3-319-65139-2
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover 135,19 €
price for Spain (gross)
  • ISBN 978-3-319-65138-5
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
About this book

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. 

Table of contents (13 chapters)

  • Hybrid Intelligent Techniques in Text Mining and Analysis of Social Networks and Media Data

    Golani, Neha (et al.)

    Pages 1-24

  • Social Network Metrics Integration into Fuzzy Expert System and Bayesian Network for Better Data Science Solution Performance

    Klepac, Goran (et al.)

    Pages 25-45

    Preview Buy Chapter 30,19 €
  • Community Detection Using Nature Inspired Algorithm

    Chand, Sunita (et al.)

    Pages 47-76

  • A Unified Framework for Community Structure Analysis in Dynamic Social Networks

    Bhat, Sajid Yousuf (et al.)

    Pages 77-97

  • GSO Based Heuristics for Identification of Communities and Their Leaders

    Arora, Nidhi (et al.)

    Pages 99-127

Buy this book

eBook 107,09 €
price for Spain (gross)
  • ISBN 978-3-319-65139-2
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover 135,19 €
price for Spain (gross)
  • ISBN 978-3-319-65138-5
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
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Bibliographic Information

Bibliographic Information
Book Title
Hybrid Intelligence for Social Networks
Editors
  • 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