Mobility Analysis in Free Software Communities

• Eduardo F. Santos Lightbase Consultoria em Software Público
• Fernanda Lima University of Brasília

Abstract

In order to identify new leaderships through the concepts of centrality and prestige inside software communities, complex networks study and analysis can help us understand if the collaboration activity is capable of producing knowledge inside the community. This article proposes the usage of a mobility rate metric, calculated as the reason between the members who could actually learn through collaboration. The calculation is made by analyzing the creation of collaboration objects, and the result is exemplified applying the technique to Brazilian Public Software Portal communities' collaboration data.

Keywords: Mobility Analysis, Free Software, Social Network Analysis

References

Boccaletti, S., Latora, V., Moreno, Y., Chavez, M., and Hwang, D.-U. (2006). Complex networks: Structure and dynamics. Physics reports, 424(4):175–308.

Derényi, I., Palla, G., and Vicsek, T. (2005). Clique percolation in random networks. Phys. Rev. Lett., 94(16):160202.

Durugbo, C., Hutabarat,W., Tiwari, A., and Alcock, J. R. (2011). Modelling collaboration using complex networks. Information Sciences, 181(15):3143–3161.

Foulonneau, M., Pawelzik, R., Grégoir, B., and Donak, O. (2013). Analyzing the open source communities’ lifecycle with communication data. In MEDES 2013.

Freitas, C. (2008). Pesquisa sobre o impacto do software público brasileiro. Disponível em: http://www.softwarepublico.gov.br/result_pesquisa Acesso em 14 de janeiro de 2011.

Freitas, C. and Meffe, C. (2008). FLOSS em um mundo livre: Inovações e melhores práticas do Brasil. 2020 FLOSS Road Map.

Gaines, B. R. (2013). Knowledge acquisition: past, present and future. IJHCS – International Journal of Human-Computer Studies, 71:135–156.

Hernández, R., Grumet, A., and Team, O. C. (2005). Openacs: robust web development framework. In 12th Annual Tck/Tk Conference.

Meffe, C. and Freitas, C. (2008). Floss in an open world: Innovations and best practices from brasil. 2020 FLOSS Roadmap.

Ngonmang, B. and Viennet, E. (2013). Toward community dynamic through interactions prediction in complex networks. In Signal-Image Technology & Internet-Based Systems (SITIS), 2013 International Conference on, pages 462–469. IEEE.

Paulovich, F. V., Oliveira, M. C. F., and Minghim, R. (2007). The projection explorer: A flexible tool for projection-based multidimensional visualization. In Proceedings of the XX Brazilian Symposium on Computer Graphics and Image Processing - SIBGRAPI.

Silva, A. S., Brito, S. R., Vijaykumar, N. L., Rocha, C. J. A., Costa, J. C. W. A., and Francês, C. R. L. (2013a). Análise de redes sociais para avaliação e monitoramento de programas de treinamento em larga escala baseados no uso de ambientes de aprendizagem e redes sociais online. Disponível em http://migre.me/jDSlx Acessado em 05/06/2014.

Silva, A. S., Brito, S. R., Vijaykumar, N. L., Rocha, C. J. A., Costa, J. C. W. A., and Francês, C. R. L. (2013b). Employing online social networks to monitor and evaluate training of digital inclusion agents. Social Network Analysis and Mining.

Tofler, A. and Tofler, H. (2007). Riqueza Revolucionária - O Significado da Riqueza no Futuro. Futura.