Social computing: From social informatics to social intelligence

被引:293
|
作者
Wang, Fei-Yue [1 ]
Zeng, Daniel
Carley, Kathleen M.
Mao, Wenji
机构
[1] Chinese Acad Sci, Key Lab Complex Syst & Intelligence Sci, Beijing 100864, Peoples R China
[2] Univ Arizona, Dept Ind & Syst Engn, Tucson, AZ 85721 USA
[3] Univ Arizona, Program Adv Res Complex Syst, Tucson, AZ 85721 USA
[4] Carnegie Mellon Univ, Sch Comp Sci, Pittsburgh, PA 15213 USA
[5] Carnegie Mellon Univ, Ctr Computat Anal Social & Org Syst, Pittsburgh, PA 15213 USA
[6] Univ Arizona, Eller Coll Management, Dept Management Informat Syst, Intelligent Syst & Decis Lab, Tucson, AZ 85721 USA
[7] Chinese Acad Sci, Inst Automat, Beijing 100864, Peoples R China
基金
中国国家自然科学基金; 美国国家科学基金会;
关键词
Artificial intelligence - Computer simulation - Information technology - Software engineering;
D O I
10.1109/MIS.2007.41
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The theoretical, methodological, and technological aspects of social computing and its various application areas are discussed. Social computing represents a new paradigm of computing and technology development and has become an important part of information and communication technology (ICT) fields. It is an interdisciplinary research and application field and its scope is expanding to both theoretical and technological perspectives. Social computing applications are driven by the needs to develop better social software to facilitate interaction and communication among groups of people, computerize aspects of human society, and forecast the effects of changing technologies and policies on social and cultural behavior. Social computing and online communities are rapidly changing and affecting the global economy, social interaction, and every aspect of a society. The move from social informatics to social intelligence can be achieved by modeling and analyzing social behavior, by capturing human society dynamics, and generating and managing actionable social knowledge.
引用
收藏
页码:79 / 83
页数:5
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