Overview
- 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
Part of the book series: Computer Communications and Networks (CCN)
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Table of contents (15 chapters)
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Front Matter
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Back Matter
Keywords
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.
Authors and Affiliations
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.
Bibliographic Information
Book Title: Practical Social Network Analysis with Python
Authors: Krishna Raj P.M., Ankith Mohan, K.G. Srinivasa
Series Title: Computer Communications and Networks
DOI: https://doi.org/10.1007/978-3-319-96746-2
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2018
Hardcover ISBN: 978-3-319-96745-5Published: 14 September 2018
Softcover ISBN: 978-3-030-07241-4Published: 08 February 2019
eBook ISBN: 978-3-319-96746-2Published: 25 August 2018
Series ISSN: 1617-7975
Series E-ISSN: 2197-8433
Edition Number: 1
Number of Pages: XXXI, 329
Number of Illustrations: 113 b/w illustrations, 73 illustrations in colour
Topics: Computer Communication Networks, Python