CV-Muzar - The Virtual Community Environment that Uses Multiagent Systems for Formation of Groups

  • Ana Carolina Bertoletti De Marchi
  • Márcia Cristina Moraes


The purpose of this chapter is to present two agents’ societies responsible for group formation (sub-communities) in CV-Muzar (Augusto Ruschi Zoobotanical Museum Virtual Community of the University of Passo Fundo). These societies are integrated to execute a data mining classification process. The first society is a static society that intends preprocessing data, investigating the information about groups in the CV-Muzar. The second society is a dynamical society that will make a classification process by analyzing the existing groups and look for participants that have common subjects in order to constitute a sub-community. The formation of sub-communities is a new functionality within the CV-Muzar that intends to bring the participants together according to two scopes: interest similarity and knowledge complementarities.


Data Mining Multiagent System Coalition Formation Virtual Community Leader Agent 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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© Springer Science+Business Media, LLC 2009

Authors and Affiliations

  • Ana Carolina Bertoletti De Marchi
    • 1
  • Márcia Cristina Moraes
    • 2
  1. 1.Faculty of InformaticsUniversidade de Passo FundoPasso FundoBrazil
  2. 2.Faculty of InformaticsPontificia Universidade Catolica do Rio Grande do SulPasso AlegreBrazil

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