Big Data and Social Media Analytics: Trending Applications

ISBN-13: 9783030670436 / Angielski / Twarda / 2021 / 245 str.

Mehmet ?akırtaş; Kemal Ozdemir

Spis treści

1.     Carson Leung, Fan Jiang and Yibin Zhang, Efficient and flexible compression of very spare or dense networks of big data     

2.     Logan Praznik, Chetan Mendhe, Mohiuddin Md Abdul Qudar, Gautam Srivastava and Vijay Mago, Analysis of Link Prediction Algorithms in Hashtag Graphs     

3.     Mayank Kejriwal and Peilin Zhou, Visual Exploration and Debugging of Machine Learning Classification over Social Media Data

4.     Konstantinos Xylogiannopoulos, Panagiotis Karampelas and Reda Alhajj, Weather Big Data Analytics: Seeking Motifs in Multivariate Weather Data 

5.     Dimitrios Lappas, Panagiotis Karampelas and Georgios Fesakis, Using Social Media Surveillance in order to Enhance the Effectiveness of Crew Members in Search and Rescue Missions           

6.     Dionisis Margaris, Dimitris Spiliotopoulos and Costas Vassilakis, Identifying Reliable Recommenders in Users' Collaborating Filtering and Social Neighborhoods    

7.     Dimitris Spiliotopoulos, Dionisis Margaris and Costas Vassilakis, Safe travelling period recommendation to high attack risk destinations based on past attack information      

8.     Thomas Marcoux, Nitin Agarwal, Adewale Obadimu, Muhammad Nihal Hussain and Recep Erol, Analyzing Cyber Influence Campaigns on YouTube using YouTubeTracker     

9.     Adewale Obadimu, Muhammad Hussain and Nitin Agarwal, Blog Data Analytics Using Blog trackers  

10.  Abu Saleh Md Tayeen, Abderrahmen Mtibaa, Satyajayant Misra and Milan Biswal, Impact of Locational Factors on Business Ratings/Reviews: A Yelp and TripAdvisor Study    

11.  Roland Molontay and Marcell Nagy, Twenty Years of Network Science: A Bibliographic and Co-Authorship Network Analysis

O autorze

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.  

Blurb

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.