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