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 visuall

SUBMITTER: Pu J 

PROVIDER: S-EPMC5191173 | biostudies-literature | 2016 Dec

REPOSITORIES: biostudies-literature