The familiar stranger: anxiety, comfort, and play in public places
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Social Serendipity: Mobilizing Social Software
IEEE Pervasive Computing
Group formation in large social networks: membership, growth, and evolution
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
Calibration-free WLAN location system based on dynamic mapping of signal strength
Proceedings of the 4th ACM international workshop on Mobility management and wireless access
Feedback effects between similarity and social influence in online communities
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
FriendSensing: recommending friends using mobile phones
Proceedings of the third ACM conference on Recommender systems
Same places, same things, same people?: mining user similarity on social media
Proceedings of the 2010 ACM conference on Computer supported cooperative work
The social influence model of technology adoption
Communications of the ACM
Find me if you can: improving geographical prediction with social and spatial proximity
Proceedings of the 19th international conference on World wide web
Networks, Crowds, and Markets: Reasoning About a Highly Connected World
Networks, Crowds, and Markets: Reasoning About a Highly Connected World
Bridging the gap between physical location and online social networks
Proceedings of the 12th ACM international conference on Ubiquitous computing
Social sensing for epidemiological behavior change
Proceedings of the 12th ACM international conference on Ubiquitous computing
Managing workplace resources in office environments through ephemeral social networks
UIC'10 Proceedings of the 7th international conference on Ubiquitous intelligence and computing
Social dynamics in conferences: analyses of data from the live social semantics application
ISWC'10 Proceedings of the 9th international semantic web conference on The semantic web - Volume Part II
Friendship and mobility: user movement in location-based social networks
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
The social fMRI: measuring, understanding, and designing social mechanisms in the real world
Proceedings of the 13th international conference on Ubiquitous computing
ITHINGSCPSCOM '11 Proceedings of the 2011 International Conference on Internet of Things and 4th International Conference on Cyber, Physical and Social Computing
Physical Proximity and Online User Behaviour in an Indoor Mobile Social Networking Application
ITHINGSCPSCOM '11 Proceedings of the 2011 International Conference on Internet of Things and 4th International Conference on Cyber, Physical and Social Computing
WhozThat? evolving an ecosystem for context-aware mobile social networks
IEEE Network: The Magazine of Global Internetworking
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Past research has studied offline proximity such as co-location and online social connections such as friendship individually. People form social relationships based on certain characteristics they possess, called social selection. When people change their social behavior due to interaction with others, social influence is at work. However, few researchers have examined the relationship that exists between offline proximity and online social connection, and the transitions from offline to online and vice versa (O2O). To study this problem, we created a system for finding and connecting with people at a conference that uses offline proximity encounters in order to help attendees meet and connect with each other. Using data where our system was deployed at two conferences, we discover that for social selection, more proximity interactions will result in an increased probability for a person to add another as a social connection (friend, follower or exchanged contact). However, after the social connections are established, more online social interactions result in a decreased duration and frequency of offline interactions between the connected users and social influence is weak. These results are just the first step in understanding how O2O interactions can help link people together, improve friend recommendations, and improve overall user experience.