NetLearn: Social Network Analysis and Visualizations for Learning
M. Chatti, M. Jarke, T. Indriasari, and M. Specht. Learning in the Synergy of Multiple Disciplines, Proceedings of the EC-TEL 2009, volume 5794 of Lecture Notes in Computer Science, Berlin/Heidelberg, Springer, (October 2009)
Abstract
The most valuable and innovative knowledge is hard to find, and it lies within distributed communities and networks. Locating the right community or person who can provide us with exactly the knowledge that we need and who can help us solve exactly the problems that we come upon, can be an efficient way to learn forward. In this paper, we present the details of NetLearn; a service that acts as a knowledge filter for learning. The primary aim of NetLearn is to leverage social network analysis and visualization techniques to help learners mine communities and locate experts that can populate their personal learning environments.
%0 Conference Paper
%1 chatti2009netlearn
%A Chatti, Mohamed Amine
%A Jarke, Matthias
%A Indriasari, Theresia Devi
%A Specht, Marcus
%B Learning in the Synergy of Multiple Disciplines, Proceedings of the EC-TEL 2009
%C Berlin/Heidelberg
%D 2009
%E Cress, U.
%E Dimitrova, V.
%E Specht, M.
%I Springer
%K analysis datamining ectel2009 fullPapers learning network social social-network social_network visualisation visualization web2.0
%T NetLearn: Social Network Analysis and Visualizations for Learning
%V 5794
%X The most valuable and innovative knowledge is hard to find, and it lies within distributed communities and networks. Locating the right community or person who can provide us with exactly the knowledge that we need and who can help us solve exactly the problems that we come upon, can be an efficient way to learn forward. In this paper, we present the details of NetLearn; a service that acts as a knowledge filter for learning. The primary aim of NetLearn is to leverage social network analysis and visualization techniques to help learners mine communities and locate experts that can populate their personal learning environments.
@inproceedings{chatti2009netlearn,
abstract = {The most valuable and innovative knowledge is hard to find, and it lies within distributed communities and networks. Locating the right community or person who can provide us with exactly the knowledge that we need and who can help us solve exactly the problems that we come upon, can be an efficient way to learn forward. In this paper, we present the details of NetLearn; a service that acts as a knowledge filter for learning. The primary aim of NetLearn is to leverage social network analysis and visualization techniques to help learners mine communities and locate experts that can populate their personal learning environments.},
added-at = {2009-09-25T10:36:23.000+0200},
address = {Berlin/Heidelberg},
author = {Chatti, Mohamed Amine and Jarke, Matthias and Indriasari, Theresia Devi and Specht, Marcus},
biburl = {https://www.bibsonomy.org/bibtex/2e5a59b3fcd1b27be70f7d836b42611f5/ectel09},
booktitle = {Learning in the Synergy of Multiple Disciplines, Proceedings of the EC-TEL 2009},
editor = {Cress, U. and Dimitrova, V. and Specht, M.},
interhash = {947b3f9b0ce452e054e2e0aa71e6400e},
intrahash = {e5a59b3fcd1b27be70f7d836b42611f5},
keywords = {analysis datamining ectel2009 fullPapers learning network social social-network social_network visualisation visualization web2.0},
month = {October},
paperid = {1095},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
timestamp = {2009-09-25T10:36:26.000+0200},
title = {NetLearn: Social Network Analysis and Visualizations for Learning},
topic = {Full Papers},
volume = 5794,
year = 2009
}