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＜電子ブック＞
Big Data and Social Media Analytics : Trending Applications / edited by Mehmet Çakırtaş, Mehmet Kemal Ozdemir
(Lecture Notes in Social Networks. ISSN:21905436)

版	1st ed. 2021.
出版者	(Cham : Springer International Publishing : Imprint: Springer)
出版年	2021
本文言語	英語
大きさ	VI, 245 p. 102 illus., 74 illus. in color : online resource
著者標目	Çakırtaş, Mehmet editor Ozdemir, Mehmet Kemal editor SpringerLink (Online service)
件　名	LCSH:Quantitative research LCSH:Data protection LCSH:Game theory FREE:Data Analysis and Big Data FREE:Data and Information Security FREE:Game Theory
一般注記	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 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 HTTP:URL=https://doi.org/10.1007/978-3-030-67044-3

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