Using Social Network Analysis to Support Collective Decision-Making Process

Shum, SB; Cannavacciuolo, L; de Liddo, A; Iandoli, L; Quinto, I

Using Social Network Analysis to Support Collective Decision-Making Process

Shum, SB

Cannavacciuolo, L de Liddo, A Iandoli, L Quinto, I

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Publication Type:: Journal Article
Citation:: International Journal of Decision Support System Technology, 2011, 3 (2), pp. 15 - 31
Issue Date:: 2011-01-01

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Field	Value	Language
dc.contributor.author	Shum, SB https://orcid.org/0000-0002-6334-7429	en_US
dc.contributor.author	Cannavacciuolo, L	en_US
dc.contributor.author	de Liddo, A	en_US
dc.contributor.author	Iandoli, L	en_US
dc.contributor.author	Quinto, I	en_US
dc.date.issued	2011-01-01	en_US
dc.identifier.citation	International Journal of Decision Support System Technology, 2011, 3 (2), pp. 15 - 31	en_US
dc.identifier.issn	1941-6296	en_US
dc.identifier.uri	http://hdl.handle.net/10453/29557
dc.description.abstract	Current traditional technologies, while enabling effective knowledge sharing and accumulation, seem to be less supportive of knowledge organization, use and consensus formation, as well as of collaborative decision making process. To address these limitations and thus to better foster collective decision-making around complex and controversial problems, a new family of tools is emerging able to support more structured knowledge representations known as collaborative argument mapping tools. This paper argues that online collaborative argumentation has the rather unique feature of combining knowledge organization with social mapping and that such a combination can provide interesting insights on the social processes activated within a collaborative decision making initiative. In particular, the authors investigate how Social Network Analysis can be used for the analysis of the collective argumentation process to study the structural properties of the concepts and social networks emerging from users’ interaction. Using Cohere, an online platform designed to support collaborative argumentation, some empirical findings obtained from two use cases are presented. © 2011, IGI Global. All rights reserved.	en_US
dc.relation.ispartof	International Journal of Decision Support System Technology	en_US
dc.relation.isbasedon	10.4018/jdsst.2011040102	en_US
dc.title	Using Social Network Analysis to Support Collective Decision-Making Process	en_US
dc.type	Journal Article
utslib.citation.volume	2	en_US
utslib.citation.volume	3	en_US
utslib.for	0806 Information Systems	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/DVC (Teaching and Learning)
utslib.copyright.status	closed_access
pubs.issue	2	en_US
pubs.publication-status	Published	en_US
pubs.volume	3	en_US

Abstract:

Current traditional technologies, while enabling effective knowledge sharing and accumulation, seem to be less supportive of knowledge organization, use and consensus formation, as well as of collaborative decision making process. To address these limitations and thus to better foster collective decision-making around complex and controversial problems, a new family of tools is emerging able to support more structured knowledge representations known as collaborative argument mapping tools. This paper argues that online collaborative argumentation has the rather unique feature of combining knowledge organization with social mapping and that such a combination can provide interesting insights on the social processes activated within a collaborative decision making initiative. In particular, the authors investigate how Social Network Analysis can be used for the analysis of the collective argumentation process to study the structural properties of the concepts and social networks emerging from users’ interaction. Using Cohere, an online platform designed to support collaborative argumentation, some empirical findings obtained from two use cases are presented. © 2011, IGI Global. All rights reserved.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/29557