Social Learning

In recent years, social behavioral data have been exponentially expanding due to the tremendous success of various outlets on the social Web (aka Web 2. 0) such as Facebook, Digg, Twitter, Wikipedia, and Delicious. As a result, there's a need for social learning to support the discovery, analysis, and modeling of human social behavioral data. The goal is to discover social intelligence, which encompasses a spectrum of knowledge that characterizes human interaction, communication, and collaborations. The social Web has thus become a fertile ground for machine learning and data mining research. This special issue gathers the state-of-the-art research in social learning and is devoted to exhibiting some of the best representative works in this area.

Authors

• Qiang Yang Hong Kong University of Science and Technology, Hong Kong SAR, China
• Zhi-Hua Zhou Nanjing University
• Wenji Mao
• Wei Li
• Nathan Nan Liu

Keywords

• Special issues and sections
• Data mining
• Machine learning
• Social network services
• Electronic mail
• Behavioral science
• social media
• social computing
• social learning
• Web 2. 0
• intelligent systems