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Big Data and Social Media Analytics

Overview of attention for book
Cover of 'Big Data and Social Media Analytics'

Table of Contents

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

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Readers on

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7 Mendeley
Summary Dimensions citations
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Chapter title
Analyzing Cyber Influence Campaigns on YouTube Using YouTubeTracker
Chapter number 5
Book title
Big Data and Social Media Analytics
Published by
Springer, Cham, January 2021
DOI 10.1007/978-3-030-67044-3_5
Book ISBNs
978-3-03-067043-6, 978-3-03-067044-3
Authors

Marcoux, Thomas, Agarwal, Nitin, Erol, Recep, Obadimu, Adewale, Hussain, Muhammad Nihal

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 14%
Student > Bachelor 1 14%
Unknown 5 71%
Readers by discipline Count As %
Computer Science 1 14%
Social Sciences 1 14%
Unknown 5 71%

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