Overview
- Describes state-of-the-art social network analysis techniques for surveillance and privacy
- Contains case studies showing how various domains such as cyber forensics benefit from social network analysis
- Includes practical test results from synthetic and real data
Part of the book series: Lecture Notes in Social Networks (LNSN)
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Table of contents (10 chapters)
Keywords
About this book
Editors and Affiliations
Bibliographic Information
Book Title: Social Networks and Surveillance for Society
Editors: Tansel Özyer, Sambit Bakshi, Reda Alhajj
Series Title: Lecture Notes in Social Networks
DOI: https://doi.org/10.1007/978-3-319-78256-0
Publisher: Springer Cham
eBook Packages: Social Sciences, Social Sciences (R0)
Copyright Information: Springer International Publishing AG, part of Springer Nature 2019
Hardcover ISBN: 978-3-319-78255-3Published: 04 August 2018
Softcover ISBN: 978-3-030-08657-2Published: 26 December 2018
eBook ISBN: 978-3-319-78256-0Published: 03 August 2018
Series ISSN: 2190-5428
Series E-ISSN: 2190-5436
Edition Number: 1
Number of Pages: VII, 179
Number of Illustrations: 45 illustrations in colour
Topics: Computational Social Sciences, Data Mining and Knowledge Discovery, Social Media, Computer Appl. in Social and Behavioral Sciences