Pervasive social context

Abstract

As pervasive computing meets social networks, there is a fast growing research field called pervasive social computing. Applications in this area exploit the richness of information arising out of people using sensorequipped pervasive devices in their everyday life combined with intense use of different social networking services. We call this set of information pervasive social context. We provide a taxonomy to classify pervasive social context along the dimensions space, time, people, and information source (STiPI) as well as commenting on the type and reason for creating such context. A survey of recent research shows the applicability and usefulness of the taxonomy in classifying and assessing applications and systems in the area of pervasive social computing. Finally, we present some research challenges in this area and illustrate how they affect the systems being surveyed.

Sensing and Forecasting Crowd Distribution in Smart Cities: Potentials and Approaches

“…At the same time, the huge growth of the number of users of social media platforms such as Twitter, and other location-based social media services, has led users to expose facts and opinions besides their current location. The resulting data are an interesting coupling of opinions and locations, thus transforming social media users in a sort of "social and physical sensors", continuously creating data about places and collective opinions [51]. Figure 3 is a heat map graphics built with Twitter spatio-temporal data that shows patterns of people tweeting during different moments of the day.…”

Taxonomia das publicações sobre Qualidade de Contexto

“…Diversas são as classificações de contexto encontradas na literatura como Chen;Kotz (2000), Viana et al (2007), Emmanouilidis et al (2012), Schuster et al (2012). Para Chen;Kotz (2000) o contexto apresenta quatro dimensões composta por: contexto computacional, contexto físico, contexto de tempo e contexto do usuário.…”