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|Title:||Combining Social Network Analysis with Semantic Relations to Support the Evolution of a Scientific Community|
Hoppe, and Ulrich
|Publisher:||International Society of the Learning Sciences, Inc.|
|Citation:||Harrer, A., Malzahn, N., Zeini, S., & Hoppe, a. (2007). Combining Social Network Analysis with Semantic Relations to Support the Evolution of a Scientific Community. In Chinn, C. A., Erkens, G., & Puntambekar, S. (Eds.), The Computer Supported Collaborative Learning (CSCL) Conference 2007, Volume 8, Part 1 (pp. 267-276). New Brunswick, NJ, USA: International Society of the Learning Sciences.|
|Abstract:||This paper presents an analytical approach to support organisational learning in terms of the evolution of a scientific community based on a combination of social network analysis and semantic relations. The primary and direct target of the method is to infer hidden or desirable links between subgroups in a networked community. The data source for these inferences comprises memberships in teams and thematic subgroups. The approach has been applied in a case study to a large scientific network on technology enhanced learning.|
|Appears in Collections:||CSCL 2007|
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