DocumentCode :
1756246
Title :
Characterizing the Evolution of Social Computing Research
Author :
Tao Wang ; Zhong Liu ; Baoxin Xiu ; Hong Mo ; Qingpeng Zhang
Author_Institution :
Nat. Univ. of Defense Technol., Changsha, China
Volume :
29
Issue :
5
fYear :
2014
fDate :
Sept.-Oct. 2014
Firstpage :
48
Lastpage :
56
Abstract :
With Web 2.0 advances, social computing has become an emerging research field in the past decade. This article analyzes the characteristics of social computing research from both static and dynamic perspectives. First, the authors present the overlapping relationships of content represented by keywords as of 2011. Next, they show the dynamics of social computing research through analyzing keyword trends and topological evolution of co-word networks. The article characterizes the key features and the evolution of social computing from a quantitative perspective.
Keywords :
information analysis; social networking (online); Web 2.0; co-word networks; dynamic perspective; keyword trends analysis; quantitative perspective; social computing research; static perspective; Computational modeling; Market research; Media; Social network services; Social sciences; Technology forecasting; Web 2.0; co-word analysis; computational social science; intelligent systems; social computing; social software;
fLanguage :
English
Journal_Title :
Intelligent Systems, IEEE
Publisher :
ieee
ISSN :
1541-1672
Type :
jour
DOI :
10.1109/MIS.2013.121
Filename :
6662350
Link To Document :
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