Article

Combining social network analysis with semantic relations to support the evolution of a scientific community

Authors:

Andreas Harrer,

H. Ulrich HoppeAuthors Info & Claims

CSCL'07: Proceedings of the 8th iternational conference on Computer supported collaborative learning

Pages 270 - 279

Published: 16 July 2007 Publication History

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.

References

[1]

Breiger. R. (1991). Explorations in Structural Analysis: Dual and Multiple Networks of Social Structure. Garland Press, New York.

[2]

Clancey,. W. (1983). The epistomology of a rule-based expert system - a framework for explanation. Artificial Intelligence, 20: 215-251.

[3]

Dix, A., Finlay, J., Abowd, G. & Beale, R. (2004). Human-Computer Interaction. 3rd Edition. Harlow (England): Prentice Hall.

Digital Library

[4]

Daradoumis, A. & Martinez Mones, A. & Xhafa, F. (2004). An integrated approach for analysing and assessing the performance of virtual learning groups. In Procs. of the Conference on Groupware (CRIWG 2004), LCNS 3198, pp. 289-304, Springer.

[5]

Gruber, T. (1993). A translation approach to portable ontology specifications. Knowledge Acquisition, Vol. 5(No. 2): pp. 199-220.

Digital Library

[6]

Harrer, A. & Zeini, S. & Pinkwart, N. (2005). The effects of electronic communication support on presence learning scenarios. In Timothy Koschmann, Daniel Suthers, and Tak-Wai Chan, (Eds.), Computer-Supported Col laborative Learning 2005, pp. 190-194, Mahwah, NJ. Lawrence Earlbaum Associates.

Digital Library

[7]

Hoare, T. & Milner, R. (2004). Grand Challenges in Computing - Research. The British Computer Society.

[8]

Hoppe, H.U., Pinkwart, N., Oelinger, M., Zeini, S., Verdejo, F., Barros, B. & J. I Mayorga, J.I. (2005). Building bridges within learning communities through ontologies and "thematic objects". In Proceedings of the International Conference on Computer Supported Collaborative Learning (CSCL2005). Taipei (Taiwan), June 2005.

Digital Library

[9]

Krempel, L. (2005). Visualisierung komplexer Strukturen - Grundlagen der Darstellung mehrdimensionaler Netzwerke. Schriften des Max-Planck-Instituts für Gesellschaftsforschung, Sonderband. Campus, Frankfurt a.M., 2005.

[10]

Malzahn, N., Urspruch, T., Tünte, M., & Hoppe, H.U. (2005a). Teams in virtuellen Unternehmen - Zusammenstellung, Kompetenzen, Technik. In M. Engelien and K. Meiner, (Eds.), Virtuelle Organisationen und Neue Medien.

[11]

Malzahn, N. & Zeini, S. & Harrer, A. (2005b). Ontology facilitated community navigation - who is interesting for what i am interested in? In A. Dey et al., (Eds.), Proc. of Context 2005, volume LNAI 3554 of Lecture Notes of Artificial Intelligence, pp. 292-303.

Digital Library

[12]

Ogata, H. & Yano, Y. (1998). Knowledge awareness: bridging learners in a collaborative learning environment, International Journal of Educational Telecommunications, AACE, Vol. 4, No. 2/3, 219-236.

[13]

Rogers, E. (1995). Diffusion of Innovation. Free Press, New York, 4th edition.

[14]

Slotta, J., Chi, M., & Joram, E. (1995). Assessing students' misclassifications of physics concepts: An ontological basis for conceptual change. Cognition and Instruction, 13 (3), pp. 373-400.

[15]

Wassermann, S. & Faust, K. (1994). Social Network Analysis: Methods and Application. Cambridge University Press, Cambridge.

[16]

Wenger E. (1999). Communities of Practice - Learning, Meaning, and Identity. Cambridge University Press, New York.

[17]

Wenger, E., McDermott, R., & Snyder, W. M. (2002). Cultivating Communities of Practice: A Guide to Managing Knowledge. Harvard Business School Press.

Digital Library

[18]

Zeini, S. (2005) Pragmatisch-interaktionistische Konzepte als Heuristik für die Untersuchung komplexer Arbeitsorganisationen - Eine Fallstudie, chapter 4, pp. 61-91. ISF München.

Cited By

Hoppe HSuthers DPistilli MWillis JKoch DArnold KTeasley SPardo A(2014)Computational approaches to connecting levels of analysis in networked learning communitiesProceedings of the Fourth International Conference on Learning Analytics And Knowledge10.1145/2567574.2567632(285-286)Online publication date: 24-Mar-2014
https://dl.acm.org/doi/10.1145/2567574.2567632
Hecking TZiebarth SHoppe HPistilli MWillis JKoch DArnold KTeasley SPardo A(2014)Analysis of dynamic resource access patterns in a blended learning courseProceedings of the Fourth International Conference on Learning Analytics And Knowledge10.1145/2567574.2567584(173-182)Online publication date: 24-Mar-2014
https://dl.acm.org/doi/10.1145/2567574.2567584
Halatchliyski IHecking TGöhnert THoppe H(2013)Analyzing the flow of ideas and profiles of contributors in an open learning communityProceedings of the Third International Conference on Learning Analytics and Knowledge10.1145/2460296.2460311(66-74)Online publication date: 8-Apr-2013
https://dl.acm.org/doi/10.1145/2460296.2460311
Show More Cited By

Index Terms

Combining social network analysis with semantic relations to support the evolution of a scientific community

Recommendations

Community evolution analysis based on co-author network: a case study of academic communities of the journal of "Annals of the Association of American Geographers"

Academic community evolution reveals the development of scientific collaboration among scientists. These social interactions of researchers can be well reflected by co-author network, making it feasible to investigate academic community through looking ...
Community Discovery Algorithm of Citation Semantic Link Network
ISCID '13: Proceedings of the 2013 Sixth International Symposium on Computational Intelligence and Design - Volume 02

Citation semantic link network make the citation network to not only has the ability of semantic representation but also has the ability of semantic reasoning by combining semantic link network with citation network. It provides a more efficient method ...
Semantic description of scholar-oriented social network cloud

Social networks have experienced exponential growth in membership and have become a hotspot for research in recent years. It helps users manage relations by establishing new relations and maintaining existing relations. On the basis of social networks' ...

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

cover image DL Hosted proceedings

CSCL'07: Proceedings of the 8th iternational conference on Computer supported collaborative learning

July 2007

881 pages

ISBN:9780615154367

Publisher

International Society of the Learning Sciences

Publication History

Published: 16 July 2007

Qualifiers

Article

Acceptance Rates

Overall Acceptance Rate 182 of 334 submissions, 54%

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

6
Total Citations
View Citations
187
Total Downloads

Downloads (Last 12 months)0
Downloads (Last 6 weeks)0

Reflects downloads up to 09 Nov 2024

Other Metrics

View Author Metrics

Citations

Cited By

Hoppe HSuthers DPistilli MWillis JKoch DArnold KTeasley SPardo A(2014)Computational approaches to connecting levels of analysis in networked learning communitiesProceedings of the Fourth International Conference on Learning Analytics And Knowledge10.1145/2567574.2567632(285-286)Online publication date: 24-Mar-2014
https://dl.acm.org/doi/10.1145/2567574.2567632
Hecking TZiebarth SHoppe HPistilli MWillis JKoch DArnold KTeasley SPardo A(2014)Analysis of dynamic resource access patterns in a blended learning courseProceedings of the Fourth International Conference on Learning Analytics And Knowledge10.1145/2567574.2567584(173-182)Online publication date: 24-Mar-2014
https://dl.acm.org/doi/10.1145/2567574.2567584
Halatchliyski IHecking TGöhnert THoppe H(2013)Analyzing the flow of ideas and profiles of contributors in an open learning communityProceedings of the Third International Conference on Learning Analytics and Knowledge10.1145/2460296.2460311(66-74)Online publication date: 8-Apr-2013
https://dl.acm.org/doi/10.1145/2460296.2460311
Gutierrez FZurita GOchoa SBaloian N(2013)Analyzing Two Participation Strategies in an Undergraduate Course CommunityProceedings of the 19th International Conference on Collaboration and Technology - Volume 822410.1007/978-3-642-41347-6_11(143-158)Online publication date: 30-Oct-2013
https://dl.acm.org/doi/10.1007/978-3-642-41347-6_11
Suthers DHoppe Hde Laat MBuckingham Shum SDawson SHaythornthwaite C(2012)Connecting levels and methods of analysis in networked learning communitiesProceedings of the 2nd International Conference on Learning Analytics and Knowledge10.1145/2330601.2330608(11-13)Online publication date: 29-Apr-2012
https://dl.acm.org/doi/10.1145/2330601.2330608
Buder JBodemer DDehler JEngelmann T(2009)SCAN tools for collaborative learningProceedings of the 9th international conference on Computer supported collaborative learning - Volume 110.5555/1600053.1600140(606-615)Online publication date: 8-Jun-2009
https://dl.acm.org/doi/10.5555/1600053.1600140

View Options

Get Access

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

eReader

View online with eReader.

Media

Figures

Other

Tables

View Table of Contents