Big data and social media analytics : trending applications
Author(s)
Bibliographic Information
Big data and social media analytics : trending applications
（Lecture notes in social networks）
Springer, c2021
- : [hardback]
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Note
Includes bibliographical references
Description and Table of Contents
Description
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.
Table of Contents
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
by "Nielsen BookData"