Social Network Discovery by Mining Spatio-Temporal Events
Computational & Mathematical Organization Theory
Group formation in large social networks: membership, growth, and evolution
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
Community evolution in dynamic multi-mode networks
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Do you know?: recommending people to invite into your social network
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Make new friends, but keep the old: recommending people on social networking sites
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User grouping behavior in online forums
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Modeling and predicting group activity over time in online social media
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Analysis of a Location-Based Social Network
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FriendSensing: recommending friends using mobile phones
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Folks in Folksonomies: social link prediction from shared metadata
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Inferring relevant social networks from interpersonal communication
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Collaborative location and activity recommendations with GPS history data
Proceedings of the 19th international conference on World wide web
Influence and passivity in social media
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Pragmatic evaluation of folksonomies
Proceedings of the 20th international conference on World wide web
On the semantic annotation of places in location-based social networks
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
Exploiting place features in link prediction on location-based social networks
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
Friendship and mobility: user movement in location-based social networks
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
Human mobility, social ties, and link prediction
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
Learning to infer social ties in large networks
ECML PKDD'11 Proceedings of the 2011 European conference on Machine learning and knowledge discovery in databases - Volume Part III
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The rapid development of on-line social networking sites has dramatically changed the way people live and communicate. One particularly interesting phenomena came along with this development is the prominent role of various on-line networking portals played in scheduling and organizing off-line group events and activities. In this paper, we focus on studying the face-to-face(f2f) group formed through, or facilitated by, on-line portals. We first show the distinct characteristics of such f2f groups by analyzing datasets collected from Whrrl and Meetup. Next, we propose a dynamic model for group gathering based on the process of friend invitation to interpret how a f2f group is formed on-line. The results of our model are confirmed by empirical observations. Finally, we demonstrate that using such group information can effectively improve the accuracies of social tie inference and friend recommendation.