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 SizeFormat 
267-276.pdf340.15 kBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.