Please use this identifier to cite or link to this item:
https://repository.isls.org//handle/1/3347
Title: | Combining Social Network Analysis with Semantic Relations to Support the Evolution of a Scientific Community |
Authors: | Harrer, Andreas Malzahn, Nils Zeini, Sam Hoppe, and Ulrich |
Issue Date: | Jul-2007 |
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. |
URI: | https://doi.dx.org/10.22318/cscl2007.267 https://repository.isls.org//handle/1/3347 |
Appears in Collections: | CSCL 2007 |
Files in This Item:
File | Size | Format | |
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267-276.pdf | 340.15 kB | Adobe PDF | View/Open |
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