Practical Social Network Analysis with Python
Language: English
Published by Springer International Publishing, 2018
Series: Book 39 of 45 - Computer Communications and Networks
- Hardcover
- New
Seller: moluna, Greven, Germanymoluna
AbeBooks seller since July 9, 2020
Condition: New
£ 112.49
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Add to basketItem description from seller
Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Introduces the fundamentals of social network analysisDiscusses key concepts and important analysis techniquesHighlights, with real-world examples, how large networks can be analyzed using deep learning techniquesDr. Krishna R.
Seller Inventory # 231141327
- Title
- Practical Social Network Analysis with Python
- Author
- Krishna Raj P.M.|Ankith Mohan|K.G. Srinivasa
- Publisher
- Springer International Publishing
- Publication year
- 2018
- Condition
- New
- Binding
- Gebunden
- Language
- English
- ISBN 10
- 3319967452
- ISBN 13
- 9783319967455
- Series
- Book 39 of 45: Computer Communications and Networks
- Seller catalogs
- Mathematik/Naturwissenschaften/Technik/Medizin
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.
"Synopsis" may belong to another edition of this title.
About the Author
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.
"About the title" may belong to another edition of this title.
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