Social Media Visual Analytics

doi:10.1111/cgf.13211

CORC > 北京大学 > 信息科学技术学院

	Social Media Visual Analytics
	Chen, Siming ; Lin, Lijing ; Yuan, Xiaoru
刊名	19th Eurographics/IEEE VGTC Conference on Visualization (EuroVis)
	2017
关键词	REAL-TIME INFORMATION DIFFUSION TEXT DATA NETWORKS VISUALIZATION SYSTEM MESSAGES EXPLORATION CHALLENGE PATTERNS
DOI	10.1111/cgf.13211
英文摘要	With the development of social media (e.g. Twitter, Flickr, Foursquare, Sina Weibo, etc.), a large number of people are now using them and post microblogs, messages and multi-media information. The everyday usage of social media results in big open social media data. The data offer fruitful information and reflect social behaviors of people. There is much visualization and visual analytics research on such data. We collect state-of-the-art research and put it into three main categories: social network, spatial temporal information and text analysis. We further summarize the visual analytics pipeline for the social media, combining the above categories and supporting complex tasks. With these techniques, social media analytics can apply to multiple disciplines. We summarize the applications and public tools to further investigate the challenges and trends.; NSFC [61672055, 61232012]; National Program on Key Basic Research Project (973 Program) [2015CB352503]; PKU-Qihoo Joint Data Visual Analytics Research Center; SCI(E); ARTICLE; 3; 563-587; 36
语种	英语
内容类型	期刊论文
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/472987]
专题	信息科学技术学院
推荐引用方式 GB/T 7714	Chen, Siming,Lin, Lijing,Yuan, Xiaoru. Social Media Visual Analytics[J]. 19th Eurographics/IEEE VGTC Conference on Visualization (EuroVis),2017.
APA	Chen, Siming,Lin, Lijing,&Yuan, Xiaoru.(2017).Social Media Visual Analytics.19th Eurographics/IEEE VGTC Conference on Visualization (EuroVis).
MLA	Chen, Siming,et al."Social Media Visual Analytics".19th Eurographics/IEEE VGTC Conference on Visualization (EuroVis) (2017).