Geo-Social Interaction: Context-Aware Help in Large Scale Public Spaces

We present an approach to exploit social and spatio-temporal context in order to improve information dissemination in dynamic largescale public spaces. We illustrate it by applying a proposed measure of geo-social relevance of each individual in a simulated vehicular network and by comparing the performance of different network message passing techniques in an inter-vehicle `help-me-best-and-do-it-fast' communication scenario. We conclude that the use of social networking capabilities of an individual combined with knowledge about their spatiotemporal context information significantly improves purposeful interaction between individuals in terms of both the efficiency of the network data dissemination and the quality of the delivered information. Key words: Social network, FOAF, Context awareness, Location awareness, Information dissemination.

• Type: Journal
• Year: 2010
• Where: AMI
• Authors: Nasim Mahmud, Petr Aksenov, Ansar-Ul-Haque Yasar, Davy Preuveneers, Kris Luyten, Karin Coninx, Yolande Berbers
• Keywords: AMI 2010, Artificial Intelligence, Largescale Public Spaces, Network Data Dissemination, Simulated Vehicular Network