Connecting the Physical World with Pervasive Networks
IEEE Pervasive Computing
Social Serendipity: Mobilizing Social Software
IEEE Pervasive Computing
End-user privacy in human-computer interaction
Foundations and Trends in Human-Computer Interaction
Honest Signals: How They Shape Our World
Honest Signals: How They Shape Our World
Predicting tie strength with social media
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Tesseract: Interactive visual exploration of socio-technical relationships in software development
ICSE '09 Proceedings of the 31st International Conference on Software Engineering
Inferring privacy policies for social networking services
Proceedings of the 2nd ACM workshop on Security and artificial intelligence
A stage-based model of personal informatics systems
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Inferring relevant social networks from interpersonal communication
Proceedings of the 19th international conference on World wide web
Privacy wizards for social networking sites
Proceedings of the 19th international conference on World wide web
Modeling relationship strength in online social networks
Proceedings of the 19th international conference on World wide web
Planet-scale human mobility measurement
Proceedings of the 2nd ACM International Workshop on Hot Topics in Planet-scale Measurement
Feasibility of structural network clustering for group-based privacy control in social networks
Proceedings of the Sixth Symposium on Usable Privacy and Security
Empirical models of privacy in location sharing
Proceedings of the 12th ACM international conference on Ubiquitous computing
Proceedings of the 12th ACM international conference on Ubiquitous computing
Learning patterns of pick-ups and drop-offs to support busy family coordination
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Field trial of Tiramisu: crowd-sourcing bus arrival times to spur co-design
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Proceedings of the 13th international conference on Ubiquitous computing
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While individuals' personal social networks are extremely important in their day-to-day lives, computational systems lack meaningful representations of them. We argue that recent trends in computer-mediated communication, the ubiquity of smartphones, usage of online services, and new approaches to real-world social science experimentation have created an opportunity to dynamically generate representations of personal social networks that will be useful in a variety of application areas. We describe several preliminary steps we have taken to investigate this vision, which demonstrate that the approach appears to be feasible and seems likely to produce useful results. While there are significant privacy concerns in this space, we outline two approaches for dealing with them. Finally, we close with a discussion of several application areas that might benefit from this new process for generating representations of personal social networks.