Referral Web: combining social networks and collaborative filtering
Communications of the ACM
Computer Supported Social Networking For Augmenting Cooperation
Computer Supported Cooperative Work
Social Serendipity: Mobilizing Social Software
IEEE Pervasive Computing
A familiar face(book): profile elements as signals in an online social network
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Inferring Social Groups Using Call Logs
OTM '08 Proceedings of the OTM Confederated International Workshops and Posters on On the Move to Meaningful Internet Systems: 2008 Workshops: ADI, AWeSoMe, COMBEK, EI2N, IWSSA, MONET, OnToContent + QSI, ORM, PerSys, RDDS, SEMELS, and SWWS
Behavioral profiles for advanced email features
Proceedings of the 18th international conference on World wide web
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 2
FriendSensing: recommending friends using mobile phones
Proceedings of the third ACM conference on Recommender systems
The WEKA data mining software: an update
ACM SIGKDD Explorations Newsletter
Statistical analysis of real large-scale mobile social network
FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 2
Characterization of the twitter @replies network: are user ties social or topical?
SMUC '10 Proceedings of the 2nd international workshop on Search and mining user-generated contents
Do you want to know?: recommending strangers in the enterprise
Proceedings of the ACM 2011 conference on Computer supported cooperative work
Modeling topic and community structure in social tagging: The TTR-LDA-Community model
Journal of the American Society for Information Science and Technology
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
CoMon: cooperative ambience monitoring platform with continuity and benefit awareness
Proceedings of the 10th international conference on Mobile systems, applications, and services
Acquaintance or partner?: predicting partnership in online and location-based social networks
Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
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Our goal is to show that it is possible to automatically infer social relationship types among people who stay together in an organization by analyzing communication patterns. We collected indoor co-location data and instant messenger data from 22 participants for one month. Based on the data, we designed and explored several indicators which are considered to be useful for mining social relationship types. We applied machine learning techniques using the indicators and found that it is possible to develop an intelligent method to infer social relationship types.