Overview
- Provides techniques which address various aspects of big data collection and analysis from social media platforms and beyond
- Covers efficient compression of large networks, link prediction in hashtag graphs, visual exploration of social media data
- Offers a source for readers interested in grasping some of the most recent advancements in this high trending domain
Part of the book series: Lecture Notes in Social Networks (LNSN)
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Table of contents (11 chapters)
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Front Matter
Keywords
About this book
This edited book provides techniques which address various aspects of big data collection and analysis from social media platforms and beyond. It covers efficient compression of large networks, link prediction in hashtag graphs, visual exploration of social media data, identifying motifs in multivariate data, social media surveillance to enhance search and rescue missions, recommenders for collaborative filtering and safe travel plans to high risk destinations, analysis of cyber influence campaigns on YouTube, impact of location on business rating, bibliographical and co-authorship network analysis, and blog data analytics. All these trending topics form a major part of the state of the art in social media and big data analytics. Thus, this edited book may be considered as a valuable source for readers interested in grasping some of the most recent advancements in this high trending domain.
Editors and Affiliations
About the editors
Dr. Mehmet Çakırtaş completed his doctorate in the field of Islamic History at Ankara University, Ankara, Turkey in 2007. Between 2007 and 2011 he worked as an administrator in various units of the Radio and Television Supreme Council, Turkey. He worked as a Consultant at the Turkish Prime Ministry between 2011-2014. Between 2014-2017 he worked as the Head of the International Relations and Monitoring and Evaluation Department at the Radio and Television Supreme Council, Ankara, Turkey. He participated in the development of the Digital Recording and Analysis System in Turkey. Between 2017-2020, he worked as Executive Assistant of the Turkish Minister of Justice, the Turkish Deputy Prime Minister and the Turkish Minister of Health. Currently, he is the Head of the International Relations Department at the Radio and Television Supreme Council in Turkey. 2018-2019’da Ankara He worked as part-time instructor at Yildirim Beyazit University, Ankara, Turkey. His research interests include Islamic History, social media analysis and the study of radical Islamic groups.
Dr. Ozdemir received his B.S. and M.S. degrees in electrical engineering from METU, Ankara, Turkey, in 1996 and 1998, and his Ph.D. degree in electrical engineering from Syracuse University, USA, in 2005. He also obtained a Business Management Certificate from University of Toronto in 2010. Dr. Ozdemir has an industry experience of 15+ years, where he developed systems for CATV and wireless communication industries. He is currently with Department of Electrical and Electronics Engineering, Istanbul Medipol University, Turkey. His recent research interests include the application of deep learning to the wireless communication systems, such as jamming detection and spectrum sensing.
Bibliographic Information
Book Title: Big Data and Social Media Analytics
Book Subtitle: Trending Applications
Editors: Mehmet Çakırtaş, Mehmet Kemal Ozdemir
Series Title: Lecture Notes in Social Networks
DOI: https://doi.org/10.1007/978-3-030-67044-3
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021
Hardcover ISBN: 978-3-030-67043-6Published: 06 July 2021
Softcover ISBN: 978-3-030-67046-7Published: 06 July 2022
eBook ISBN: 978-3-030-67044-3Published: 05 July 2021
Series ISSN: 2190-5428
Series E-ISSN: 2190-5436
Edition Number: 1
Number of Pages: VI, 245
Number of Illustrations: 28 b/w illustrations, 74 illustrations in colour
Topics: Statistics, general, Systems and Data Security, Game Theory, Economics, Social and Behav. Sciences