| 期刊全称 | Big Data and Social Media Analytics | | 期刊简称 | Trending Application | | 影响因子2023 | Mehmet Çakırtaş,Mehmet Kemal Ozdemir | | 视频video | | | 发行地址 | Provides techniques which address various aspects of big data collection and analysis from social media platforms and beyond.Covers efficient compression of large networks, link prediction in hashtag | | 学科分类 | Lecture Notes in Social Networks | | 图书封面 |  | | 影响因子 | .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... | | Pindex | Book 2021 |
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发表于 2025-3-21 16:52:59
