The connection of ubiquitous and social computing is an emerging research
rea which is combining two prominent areas of computer science.
n this paper, we tackle this topic from different angles: We describe
ata mining methods for ubiquitous and social data, specifically
ocusing on physical and social activities, and provide exemplary
nalysis results. Furthermore, we give an overview on the Ubicon
latform which provides a framework for the creation and hosting
f ubiquitous and social applications for diverse tasks and projects.
bicon features the collection and analysis of both physical and
ocial activities of users for enabling inter-connected applications
n ubiquitous and social contexts. We summarize three real-world
ystems built on top of Ubicon, and exemplarily discuss the according
ining and analysis aspects.