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Computer Communications and Networks

Practical Social Network Analysis with Python

Authors: Raj P.M., Krishna, Mohan, Ankith, Srinivasa, K.G.

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  • Introduces the fundamentals of social network analysis
  • Discusses key concepts and important analysis techniques
  • Highlights, with real-world examples, how large networks can be analyzed using deep learning techniques
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eBook $119.00
price for USA in USD (gross)
  • ISBN 978-3-319-96746-2
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $159.99
price for USA in USD
  • ISBN 978-3-319-96745-5
  • with online files
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

This book focuses on social network analysis from a computational perspective, introducing readers to the fundamental aspects of network theory by discussing the various metrics used to measure the social network. It covers different forms of graphs and their analysis using techniques like filtering, clustering and rule mining, as well as important theories like small world phenomenon. It also presents methods for identifying influential nodes in the network and information dissemination models. Further, it uses examples to explain the tools for visualising large-scale networks, and explores emerging topics like big data and deep learning in the context of social network analysis.

With the Internet becoming part of our everyday lives, social networking tools are used as the primary means of communication. And as the volume and speed of such data is increasing rapidly, there is a need to apply computational techniques to interpret and understand it. Moreover, relationships in molecular structures, co-authors in scientific journals, and developers in a software community can also be understood better by visualising them as networks.

This book brings together the theory and practice of social network analysis and includes mathematical concepts, computational techniques and examples from the real world to offer readers an overview of this domain.


About the authors

Dr. Krishna Raj P.M. is an Associate Professor at the Department of Information Science and Engineering at Ramaiah Institute of Technology, Bengaluru, India.

Mr. Ankith Mohan is a Research Associate at the same institution.

Dr. Srinivasa K.G. is an Associate Professor at the Department of Information Technology at Ch. Brahm Prakash Government Engineering College, Delhi, India.

Table of contents (15 chapters)

Table of contents (15 chapters)

Buy this book

eBook $119.00
price for USA in USD (gross)
  • ISBN 978-3-319-96746-2
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $159.99
price for USA in USD
  • ISBN 978-3-319-96745-5
  • with online files
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Practical Social Network Analysis with Python
Authors
Series Title
Computer Communications and Networks
Copyright
2018
Publisher
Springer International Publishing
Copyright Holder
Springer Nature Switzerland AG
eBook ISBN
978-3-319-96746-2
DOI
10.1007/978-3-319-96746-2
Hardcover ISBN
978-3-319-96745-5
Series ISSN
1617-7975
Edition Number
1
Number of Pages
XXXI, 329
Number of Illustrations
113 b/w illustrations, 73 illustrations in colour
Topics