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Название: Big Data and Social Media Analytics: Trending Applications
Автор: Mehmet Сakırtas, Mehmet Kemal Ozdemir
Издательство: Springer
Год: 2021
Формат: PDF
Страниц: 246
Размер: 19,6 Mb
Язык: English
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.
Автор: Mehmet Сakırtas, Mehmet Kemal Ozdemir
Издательство: Springer
Год: 2021
Формат: PDF
Страниц: 246
Размер: 19,6 Mb
Язык: English
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.