Affiliation:
1. Curtin University of Technology, Perth, W. Australia
Abstract
We present online algorithms to extract social context: Social spheres are labeled locations of significance, represented as convex hulls extracted from GPS traces. Colocation is determined from Bluetooth and GPS to extract social rhythms, patterns in time, duration, place, and people corresponding to real-world activities. Social ties are formulated from proximity and shared spheres and rhythms. Quantitative evaluation is performed for 10+ million samples over 45 man-months. Applications are presented with assessment of perceived utility:
Socio-Graph
, a video and photo browser with filters for social metadata, and
Jive
, a blog browser that uses rhythms to discover similarity between entries automatically.
Publisher
Association for Computing Machinery (ACM)
Subject
Computer Networks and Communications,Hardware and Architecture
Cited by
18 articles.
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