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...
| Other Authors: | , |
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| Format: | eBook |
| Language: | English |
| Published: |
Cham
Springer International Publishing
2021, 2021
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| Edition: | 1st ed. 2021 |
| Series: | Lecture Notes in Social Networks
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| Subjects: | |
| Online Access: | |
| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
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