Classification and Persistence Analysis of Tie Strength on GitHub

  • Ana Flávia C. Moura UFMG
  • Gabriel P. Oliveira UFMG
  • Michele A. Brandão IFAM
  • Mirella M. Moro UFMG


Relationships between users in social networks are evaluated in different ways. Here, our goal is to measure the strength of the ties between GitHub users by considering the temporal aspect of the network. Specifically, we analyze the evolution of these relationships by applying a classification algorithm over a GitHub network and calculate the persistence of them over different classes. The results bring new information about the collaborative software development process on the platform.


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MOURA, Ana Flávia C.; OLIVEIRA, Gabriel P.; BRANDÃO, Michele A.; MORO, Mirella M.. Classification and Persistence Analysis of Tie Strength on GitHub. In: WORKSHOP DE TRABALHOS DE INICIAÇÃO CIENTÍFICA - SIMPÓSIO BRASILEIRO DE SISTEMAS MULTIMÍDIA E WEB (WEBMEDIA), 26. , 2020, São Luís. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2020 . p. 41-44. ISSN 2596-1683. DOI: