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EDBT
2009
ACM
164views Database» more  EDBT 2009»
15 years 9 months ago
Efficient identification of starters and followers in social media
Activity and user engagement in social media such as web logs, wikis, online forums or social networks has been increasing at unprecedented rates. In relation to social behavior i...
Michael Mathioudakis, Nick Koudas
CSCW
2011
ACM
14 years 9 months ago
Browse and discover: social file sharing in the enterprise
There is a growth in the popularity of social file sharing systems. This paper describes the design of Cattail, a social file sharing system for the enterprise. Through a ‘Recen...
N. Sadat Shami, Michael J. Muller, David R. Millen
SOCIALCOM
2010
15 years 3 months ago
Measuring Similarity between Sets of Overlapping Clusters
The typical task of unsupervised learning is to organize data, for example into clusters, typically disjoint clusters (eg. the K-means algorithm). One would expect (for example) a...
Mark K. Goldberg, Mykola Hayvanovych, Malik Magdon...
ICDM
2010
IEEE
186views Data Mining» more  ICDM 2010»
15 years 3 months ago
MoodCast: Emotion Prediction via Dynamic Continuous Factor Graph Model
Human emotion is one important underlying force affecting and affected by the dynamics of social networks. An interesting question is "can we predict a person's mood base...
Yuan Zhang, Jie Tang, Jimeng Sun, Yiran Chen, Jing...
BIS
2008
134views Business» more  BIS 2008»
15 years 7 months ago
Trustlet, Open Research on Trust Metrics
A trust metric is a technique for predicting how much a user of a social network might trust another user. This is especially beneficial in situations where most users are unknown ...
Paolo Massa, Kasper Souren