DocumentCode :
2920035
Title :
An abstract model for identifying potential teams and communities
Author :
Tacla, Cesar A. ; de Bortoli, Eliane ; Dall´Agnol, Josiane ; Simao, Josemar ; Paraiso, Emerson Cabrera ; Gimenez-Lugo, Gustavo A.
Author_Institution :
CPGEI/PPGCA, UTFPR, Curitiba, Brazil
fYear :
2013
fDate :
27-29 June 2013
Firstpage :
263
Lastpage :
268
Abstract :
The Abstract Computational Model of Awareness for Community Identification (AMACI) is based on the contents of resources created or used by users, which allows noticing others that perform or have performed activities in similar contexts, thereby identifying potential communities and teams. The model was evaluated through experiments using data from a sample of teachers and students at two universities. In order to evaluate the performance of the proposed model in community identification, two metrics were proposed: local and global performance. As a main result of experimentation, different uses for the model were found by combining the possible values for the local and global metrics. Such uses are the identification of new communities, identification of existing communities, expansion of existing communities, and the identification of teams. One of the main benefits of the model is providing an architectural pattern for developing this kind of application. Future works include the elimination of some manual steps in order to analyze larger communities than those observed ones; to look for other clues in e-texts and other types of resources that can help in identifying members of a community, make a temporal analysis of communities what can provide important information on the intellectual capital of an organization.
Keywords :
groupware; AMACI; abstract computational model of awareness for community identification; architectural pattern; community identification; global metrics; identifying potential communities; identifying potential teams; intellectual capital; local metrics; Abstracts; Atmospheric measurements; Communities; Computational modeling; Context; Organizations; Vectors; Abstract Model; Groups; Information Retrieval; Teams and community identification;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Supported Cooperative Work in Design (CSCWD), 2013 IEEE 17th International Conference on
Conference_Location :
Whistler, BC
Print_ISBN :
978-1-4673-6084-5
Type :
conf
DOI :
10.1109/CSCWD.2013.6580973
Filename :
6580973
Link To Document :
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