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, analysi...

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Bibliographic Details
Published inIEEE intelligent systems Vol. 25; no. 4; pp. 9 - 11
Main Authors Yang, Qiang, Zhou, Zhi-Hua, Mao, Wenji, Li, Wei, Liu, Nathan Nan
Format Journal Article
LanguageEnglish
Published IEEE 01.07.2010
Subjects
Behavioral science
Data mining
Electronic mail
Grounds
Human
Intelligence
intelligent systems
Internet
Learning
Machine learning
Outlets
social computing
social learning
social media
Social network services
Social networks
Special issues and sections
State of the art
Web
Web 2.0
Online AccessGet full text

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Summary: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.
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ISSN:1541-1672
1941-1294
DOI:10.1109/MIS.2010.103