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- Publisher Website: 10.1109/MIS.2013.121
- Scopus: eid_2-s2.0-84910150107
- WOS: WOS:000345088300007
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Article: Characterizing the evolution of social computing research
| Title | Characterizing the evolution of social computing research |
|---|---|
| Authors | |
| Keywords | co-word analysis computational social science intelligent systems social computing social software |
| Issue Date | 2014 |
| Citation | IEEE Intelligent Systems, 2014, v. 29, n. 5, p. 48-56 How to Cite? |
| 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. |
| Persistent Identifier | http://hdl.handle.net/10722/330369 |
| ISSN | 2023 Impact Factor: 5.6 2023 SCImago Journal Rankings: 2.195 |
| ISI Accession Number ID |
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Wang, Tao | - |
| dc.contributor.author | Liu, Zhong | - |
| dc.contributor.author | Xiu, Baoxin | - |
| dc.contributor.author | Mo, Hong | - |
| dc.contributor.author | Zhang, Qingpeng | - |
| dc.date.accessioned | 2023-09-05T12:10:00Z | - |
| dc.date.available | 2023-09-05T12:10:00Z | - |
| dc.date.issued | 2014 | - |
| dc.identifier.citation | IEEE Intelligent Systems, 2014, v. 29, n. 5, p. 48-56 | - |
| dc.identifier.issn | 1541-1672 | - |
| dc.identifier.uri | http://hdl.handle.net/10722/330369 | - |
| dc.description.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. | - |
| dc.language | eng | - |
| dc.relation.ispartof | IEEE Intelligent Systems | - |
| dc.subject | co-word analysis | - |
| dc.subject | computational social science | - |
| dc.subject | intelligent systems | - |
| dc.subject | social computing | - |
| dc.subject | social software | - |
| dc.title | Characterizing the evolution of social computing research | - |
| dc.type | Article | - |
| dc.description.nature | link_to_subscribed_fulltext | - |
| dc.identifier.doi | 10.1109/MIS.2013.121 | - |
| dc.identifier.scopus | eid_2-s2.0-84910150107 | - |
| dc.identifier.volume | 29 | - |
| dc.identifier.issue | 5 | - |
| dc.identifier.spage | 48 | - |
| dc.identifier.epage | 56 | - |
| dc.identifier.isi | WOS:000345088300007 | - |