The computer for the 21st century
ACM SIGMOBILE Mobile Computing and Communications Review - Special issue dedicated to Mark Weiser
Propagation of trust and distrust
Proceedings of the 13th international conference on World Wide Web
Robust incentive techniques for peer-to-peer networks
EC '04 Proceedings of the 5th ACM conference on Electronic commerce
Scalable Service Discovery for MANET
PERCOM '05 Proceedings of the Third IEEE International Conference on Pervasive Computing and Communications
Architecting Pervasive Computing Systems for Privacy: A Survey
WICSA '07 Proceedings of the Sixth Working IEEE/IFIP Conference on Software Architecture
Lightweight Distributed Trust Propagation
ICDM '07 Proceedings of the 2007 Seventh IEEE International Conference on Data Mining
TRULLO - local trust bootstrapping for ubiquitous devices
MOBIQUITOUS '07 Proceedings of the 2007 Fourth Annual International Conference on Mobile and Ubiquitous Systems: Networking&Services (MobiQuitous)
From pervasive to social computing: algorithms and deployments
Proceedings of the 2009 international conference on Pervasive services
A self-organising directory and matching service for opportunistic social networking
Proceedings of the 3rd Workshop on Social Network Systems
Prometheus: user-controlled P2P social data management for socially-aware applications
Proceedings of the ACM/IFIP/USENIX 11th International Conference on Middleware
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Today's online social networking applications (e.g., Face-book, Twitter, Last.Fm) allow users that are socially close to each other (i.e., users with shared interests) to participate in the collective production and sharing of information (i.e., virtual interactions). Pervasive Social Networking (PSN) is a new vision that aims to complement virtual interactions with physical ones, by enabling users who are both socially and physically related to find each other and perform activities of common interest. To enable this vision, both users' social networks and mobility patterns must be reasoned upon. In this paper, we present a social networking middleware service that dynamically combines both social and physical proximity relations between mobile users to accurately recommend them people with whom to perform activities of common interest. At the heart of this service is a social network propagation component that infers users' relations both within the same (intra) and across (inter) users' activities. We evaluate the impact of various middleware deployment strategies on the ability of the social network propagation component to find related users, and analyse the advantages and shortcomings of each of them.