Name
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. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/MIS.2013.121 | IEEE Intelligent Systems |
Keywords | Field | DocType |
computational social science,co-word analysis,web 2.0,co-word networks,dynamic perspective,quantitative perspective,information analysis,social computing,static perspective,intelligent systems,social computing research,social networking (online),social software,keyword trends analysis,technology forecasting,market research,web 2 0,media,computational modeling,social sciences | Data science,Technology forecasting,Data mining,Intelligent decision support system,Computer science,Social software,Computational sociology,Web 2.0,Social computing,Market research | Journal |
Volume | Issue | ISSN |
29 | 5 | 1541-1672 |
Citations | PageRank | References |
2 | 0.36 | 9 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tao Wang | 1 | 2 | 0.69 |
| Zhong Liu | 2 | 73 | 5.31 |
| Baoxin Xiu | 3 | 2 | 0.36 |
| Hong Mo | 4 | 2 | 0.36 |
| Qingpeng Zhang | 5 | 150 | 26.35 |