Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/74516
Título: | The activity of bioinformatics developers and users in Stack Overflow |
Autor(es): | Pérez-López, Roi Blanco, Guillermo Fdez-Riverola, Florentino Lourenço, Anália |
Palavras-chave: | Question and answering systems Computer software Bioinformatics User churning Social influence Software development |
Data: | 2021 |
Editora: | Springer International Publishing |
Revista: | Advances in Intelligent Systems and Computing |
Citação: | Pérez-López, Roi; Blanco, Guillermo; Fdez-Riverola, Florentino; Lourenço, Anália, The activity of bioinformatics developers and users in Stack Overflow. PACBB 2020 - 14th International Conference Practical Applications of Computational Biology & Bioinformatics. Vol. Advances in Intelligent Systems and Computing 1240, L'Aquila, Italy, Oct 7-9, Springer International Publishing, 23-31, 2021. ISBN: 978-3-030-54568-0 |
Resumo(s): | In this work, different social data mining approaches are used to characterize the user churning and social traits of the Bioinformatics community over the first ten years of Stack Overflow. The proposed workflow consists of a four-step procedure that allows the characterization of users based on the social exchange exhibited by the Bioinformatics community and the Developers communities, notably the Python, Matlab and R programming communities. The motivation is to improve user churning and the quality of social interactions by categorizing user traits and being able to understand how Stack Overflow, and other Stack Exchange databases, may better respond to current user concerns and interests. Therefore, initial user identification was complemented by a second categorization focused on user "genealogy". The goal was to explore the evolving of user interests and, in particular, the migration and swapping of users across different communities throughout the years. Noticeably, a considerable number of Bioinformatics users has moved to the Developers communities. An in-depth exploration of the most popular topics of conversation in Bioinformatics enabled a better understanding of the triggers and contents of these conversations. |
Tipo: | Artigo em ata de conferência |
URI: | https://hdl.handle.net/1822/74516 |
ISBN: | 978-3-030-54567-3 |
e-ISBN: | 978-3-030-54568-0 |
DOI: | 10.1007/978-3-030-54568-0_3 |
ISSN: | 2194-5357 |
Versão da editora: | https://link.springer.com/chapter/10.1007/978-3-030-54568-0_3 |
Arbitragem científica: | yes |
Acesso: | Acesso restrito UMinho |
Aparece nas coleções: | CEB - Artigos em Livros de Atas / Papers in Proceedings |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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document_53833_1.pdf Acesso restrito! | 677,75 kB | Adobe PDF | Ver/Abrir |