Maximizing the spread of influence through a social network
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
CarTel: a distributed mobile sensor computing system
Proceedings of the 4th international conference on Embedded networked sensor systems
VTrack: accurate, energy-aware road traffic delay estimation using mobile phones
Proceedings of the 7th ACM Conference on Embedded Networked Sensor Systems
Learning influence probabilities in social networks
Proceedings of the third ACM international conference on Web search and data mining
Modeling relationship strength in online social networks
Proceedings of the 19th international conference on World wide web
Misco: A System for Data Analysis Applications on Networks of Smartphones Using MapReduce
MDM '12 Proceedings of the 2012 IEEE 13th International Conference on Mobile Data Management (mdm 2012)
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The proliferation of sensor networks, smartphone devices and social networking in the recent years have made it possible to use these technologies to monitor relationships established among humans in order to understand and capture social dynamics for assistive living and healthcare support. This evolution is now driven by participatory sensing systems where users use their phones as sensing devices and provide personal data for the benefit of the community, enabling new social, healthcare applications. One challenging question in these settings is detecting relationships between users of social networks. We initiate a study and propose an approach to measure the strength of social bond between individuals. Our goal is to highlight the capabilities of participatory sensing techniques in assistive living environments.