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English Information

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Authors
# Name
1 Michele Brandão(michele.brandao@dcc.ufmg.br)
2 Pedro de Melo(olmo@dcc.ufmg.br)
3 Mirella Moro(mirella@dcc.ufmg.br)

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Reference
# Reference
1 Alves, G. B., Brandão, M. A., Santana, D. M., da Silva, A. P. C., and Moro, M. M. (2016). The strength of social coding collaboration on github. In SBBD, pages 247–252, Salvador, Brazil.
2 Brandão, M. A. and Moro, M. M. (2015). Analyzing the strength of co-authorship ties with neighborhood overlap. In DEXA, pages 527–542, Linz, Austria.
3 Castilho, D., Vaz de Melo, P. O. S., and Benevenuto, F. (2017). The strength of the work ties. Information Sciences, 375:155–170.
4 Gilbert, E. and Karahalios, K. (2009). Predicting tie strength with social media. In SIGCHI, pages 211–220, Boston, USA.
5 Granovetter, M. S. (1973). The strength of weak ties. American Joumal af Sociology, 78(6):1360–1380.
6 Karsai, M., Perra, N., and Vespignani, A. (2014). Time varying networks and the weakness of strong ties. Scientific reports, 4.
7 Kostakos, V. (2009). Temporal graphs. Physica A: Statistical Mechanics and its Applications, 388(6):1007–1023.
8 Laurent, G., Saramäki, J., and Karsai, M. (2015). From calls to communities: a model for time-varying social networks. The European Physical Journal B, 88(11):1–10.
9 Lima, H., Silva, T. H., Moro, M. M., Santos, R. L., Meira Jr, W., and Laender, A. H. (2013). Aggregating productivity indices for ranking researchers across multiple areas. In JCDL, pages 97–106, NYC, USA.
10 Miller, J. C. and Hagberg, A. (2011). Efficient generation of networks with given expected degrees. In WAW, pages 115–126, Atlanta, USA.
11 Nicosia, V. et al. (2013). Temporal Networks, chapter Graph Metrics for Temporal Networks, pages 15–40. Springer Berlin Heidelberg, Berlin, Heidelberg.
12 Vaz de Melo, P. O. S. et al. (2015). Recast: Telling apart social and random relationships in dynamic networks. Performance Evaluation, 87:19–36.
13 Zaki, M. J. and Meira Jr, W. (2014). Data mining and analysis: Fundamental concepts and algorithms. Cambridge University Press.
14 Zignani, M., Gaito, S., and Rossi, G. P. (2016). Predicting the link strength of newborn links. In WWW, pages 147–148, Montreal, Canada.