Big Data and Social Media Analytics : Trending Applications / edited by Mehmet Çakırtaş, Mehmet Kemal Ozdemir.

Format:

Book

Contributor:

Çakırtaş, Mehmet, editor.

Kemal Ozdemir, Mehmet, editor.

Series:

Lecture Notes in Social Networks, 2190-5436

Language:

English

Subjects (All):

Quantitative research.

Data protection.

Game theory.

Data Analysis and Big Data.

Data and Information Security.

Game Theory.

Local Subjects:

Data Analysis and Big Data.

Data and Information Security.

Game Theory.

Physical Description:

1 online resource (246 pages)

Edition:

1st ed. 2021.

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2021.

Summary:

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.

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.

Notes:

Includes bibliographical references.

ISBN:

3-030-67044-9

OCLC:

1260344941