Big Data and Social Media Analytics : Trending Applications /

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 multivar...

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Bibliographic Details
Corporate Author:	SpringerLink (Online service)
Other Authors:	Çakırtaş, Mehmet (Editor), Ozdemir, Mehmet Kemal (Editor)
Format:	eBook
Language:	English
Published:	Cham : Springer International Publishing : Imprint: Springer, 2021.
Edition:	1st ed. 2021.
Series:	Lecture Notes in Social Networks,
Subjects:	Statistics . Computer security. Game theory. Statistics, general. Systems and Data Security. Game Theory, Economics, Social and Behav. Sciences. Electronic books.
Online Access:	Connect to the full text of this electronic book

Table of Contents:

Chapter 1. Twenty Years of Network Science: A Bibliographic and Co-Authorship Network Analysis
Chapter 2. Impact of Locational Factors on Business Ratings/Reviews: A Yelp and TripAdvisor Study
Chapter 3. Identifying Reliable Recommenders in Users' Collaborating Filtering and Social Neighbourhoods
Chapter 4. Safe Travelling Period Recommendation to High Attack Risk European Destinations based on Past Attack Information
Chapter 5. Analyzing Cyber Influence Campaigns on YouTube using YouTubeTracker
Chapter 6. Blog Data Analytics Using Blogtrackers
Chapter 7. Using Social Media Surveillance in order to Enhance the Effectiveness of Crew Members in Search and Rescue Missions
Chapter 8. Visual Exploration and Debugging of Machine Learning Classification over Social Media Data
Chapter 9. Efficient and Flexible Compression of Very Sparse Networks of Big Data
Chapter 10. Weather Big Data Analytics: Seeking Motifs in Multivariate Weather Data
Chapter 11. Analysis of Link Prediction Algorithms in Hashtag Graphs.