title: Sci-Fin: Visual Mining Spatial and Temporal Behavior Features from Social Media.
abstract: Check-in records are usually available in social services, which offer us the opportunity to capture and analyze users' spatial and temporal behaviors. Mining such behavior features is essential to social analysis and business intelligence. However, the complexity and incompleteness of check-in records bring challenges to achieve such a task. Different from the previous work on social behavior analysis, in this paper, we present a visual analytics system, Social Check-in Fingerprinting (Sci-Fin), to facilitate the analysis and visualization of social check-in data. We focus on three major components of user check-in data: location, activity, and profile. Visual fingerprints for location, activity, and profile are designed to intuitively represent the high-dimensional attributes. To visually mine and demonstrate the behavior features, we integrate WorldMapper and Voronoi Treemap into our glyph-like designs. Such visual fingerprint designs offer us the opportunity to summarize the interesting features and patterns from different check-in locations, activities and users (groups). We demonstrate the effectiveness and usability of our system by conducting extensive case studies on real check-in data collected from a popular microblogging service. Interesting findings are reported and discussed at last.
authors.affiliation: School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China. jiansu.pu@uestc.edu.cn.
authors.forename: Jiansu
authors.initials: J
authors.lastname: Pu
authors.affiliation: School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China. zhiyao.teng@foxmail.com.
authors.forename: Zhiyao
authors.initials: Z
authors.lastname: Teng
authors.affiliation: School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China. rui.gong_gr@foxmail.com.
authors.forename: Rui
authors.initials: R
authors.lastname: Gong
authors.affiliation: School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China. changjiang.wen@foxmail.com.
authors.forename: Changjiang
authors.initials: C
authors.lastname: Wen
authors.affiliation: School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China. xuyang@uestc.edu.cn.
authors.forename: Yang
authors.initials: Y
authors.lastname: Xu
mesh_terms: D000465:Algorithms; D001519:Behavior; D002947:Cities; D057225:Data Mining; D005246:Feedback; D006801:Humans; D061108:Social Media; D013334:Students; D013997:Time Factors; D014584:User-Computer Interface
keywords: Internet of things; big data analysis; social media; spatial and temporal behaviors; visual mining