1 |
Börner et al, K. (2005). Studying the Emerging Global Brain: Analyzing and Visualizing the Impact of Co-Authorship Teams. Complexity, 10(4):57–67.
|
|
2 |
Easley, D. and Kleinberg, J. (2010). Networks, crowds, and markets: Reasoning about a highly connected world. Cambridge University Press.
|
|
3 |
Granovetter, M. S. (1973). The Strength of Weak Ties. American Journal of Sociology, 78(6):1360–1380.
|
|
4 |
Lima et al, H. (2013). Aggregating Productivity Indices for Ranking Researchers Across Multiple Areas. In JCDL, pages 97–106.
|
|
5 |
Ray et al, B. (2014). A large scale study of programming languages and code quality in github. In SIGSOFT FSE, pages 155–165.
|
|
6 |
Rocha, L. M. A. and Moro, M. M. (2016). Contribuição de Código entre Repositórios do GitHub. Technical report, UFMG. Disponível em http://www.dcc.ufmg.br/~mirella/projs/apoena.
|
|
7 |
Silva, T. H. P., Rocha, L. M. A., da Silva, A. P. C., and Moro, M. M. (2015). 3c-index: Research contribution across communities as an influence indicator. JIDM, 6(3).
|
|
8 |
Silva et al, T. H. P. (2014). Community-based Endogamy as an Influence Indicator. In JCDL, pages 67–76.
|
|
9 |
Sun et al, X. (2013). Social dynamics of science. Sci. Rep., 3(1069).
|
|
10 |
Thung, F., Bissyandé, T. F., Lo, D., and Jiang, L. (2013). Network structure of social coding in github. In CSMR, pages 323–326.
|
|