Uma ferramenta para análise da comunicação organizacional através de redes sociais

• Ano de defesa: 2006
• Autor(a) principal: Castro, Izabel Cristina Andion
• Orientador(a): Mendonça Neto, Manoel Gomes de
• Banca de defesa: Cardoso, Claudio Guimarães , Martins, Joberto Sérgio Barbosa
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Salvador
• Programa de Pós-Graduação: Programa de Pós-Graduação em Sistemas e Computação
• Departamento: Sistemas e Computação
• País: BR
• Palavras-chave em Português: Tecnologia da informação; gestão do conhecimento; análise de redes sociais; mineração visual de dados; Gestão do conhecimento; Mineração visual de dados
• Palavras-chave em Inglês: Information technology; knowledge management; social network analysis; visual data mining
• Área do conhecimento CNPq: CNPQ::CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO::TEORIA DA COMPUTACAO::ANALISE DE ALGORITMOS E COMPLEXIDADE DE COMPUTACAO
• Link de acesso: http://teste.tede.unifacs.br:8080/tede/handle/tede/299

This work describes an approach to analyze organizational communication networks through the use of a computing tool. This tool models the communication as a graph, where people are represented as nodes and information flows are represented as edges. This creates a map of the organization collaboration network, which can be mathematically analyzed. The tool implements Social Network Analysis (SNA) algorithms and allows the visual exploration of the modeled graph. Compared to other SNA products, the developed tool incorporates greater semantic capability through the dynamic definition of the attributes associated with the objects under study, i.e. people and communication flows. The tool also simplifies the exploration of the modeled networks and the results obtained by the SNA algorithms through the use of visual data mining techniques. The built graphs can be interactively explored and the mapping between their visual attributes and the attributes of the modeled objects can be dynamically changed. Visual attributes, colors in particular, can also be used to represent the values of the metrics computed by the SNA algorithms. This enables users to visually interpret relationships and roles over the modeled network. The developed tool was applied in a case study aimed at analyzing the communication network associated with a Help Desk in a medium sized organization. The study indicated that the tool facilitates identification of communities of practice, communication patterns, and key individuals over the modeled network.