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» Mining Periodic Behavior in Dynamic Social Networks
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WWW
2010
ACM
14 years 1 months ago
Measurement and analysis of an online content voting network: a case study of Digg
In online content voting networks, aggregate user activities (e.g., submitting and rating content) make high-quality content thrive through the unprecedented scale, high dynamics ...
Yingwu Zhu
KDD
2009
ACM
180views Data Mining» more  KDD 2009»
14 years 7 months ago
Using graph-based metrics with empirical risk minimization to speed up active learning on networked data
Active and semi-supervised learning are important techniques when labeled data are scarce. Recently a method was suggested for combining active learning with a semi-supervised lea...
Sofus A. Macskassy
MABS
2000
Springer
13 years 10 months ago
Effects of Interaction Topology and Activation Regime in Several Multi-Agent Systems
The effects of distinct agent interaction and activation structures are compared and contrasted in several multi-agent models of social phenomena. Random graphs and lattices repre...
Robert L. Axtell
RECSYS
2009
ACM
14 years 1 months ago
Ordering innovators and laggards for product categorization and recommendation
Different buyers exhibit different purchasing behaviors. Some rush to purchase new products while others tend to be more cautious, waiting for reviews from people they trust. In...
Sarah K. Tyler, Shenghuo Zhu, Yun Chi, Yi Zhang
WWW
2007
ACM
14 years 7 months ago
Information flow modeling based on diffusion rate for prediction and ranking
Information flows in a network where individuals influence each other. The diffusion rate captures how efficiently the information can diffuse among the users in the network. We p...
Xiaodan Song, Yun Chi, Koji Hino, Belle L. Tseng