Averaging gone wrong: using time-aware analyses to better understand behavior (2016)
- Authors:
- USP affiliated authors: CESAR JUNIOR, ROBERTO MARCONDES - IME ; BARBOSA NETO, SAMUEL MARTINS - IME
- Unidade: IME
- DOI: 10.1145/2872427.2883083
- Subjects: COMPUTAÇÃO APLICADA; CIÊNCIAS SOCIAIS
- Keywords: user behavior; cohorts; computational social science; Reddit
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Proceedings
- Conference titles: International World Wide Web Conference - WWW
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
BARBOSA NETO, Samuel Martins et al. Averaging gone wrong: using time-aware analyses to better understand behavior. 2016, Anais.. New York: ACM, 2016. Disponível em: https://doi.org/10.1145/2872427.2883083. Acesso em: 22 jan. 2026. -
APA
Barbosa Neto, S. M., Cosley, D., Sharma, A., & César Júnior, R. M. (2016). Averaging gone wrong: using time-aware analyses to better understand behavior. In Proceedings. New York: ACM. doi:10.1145/2872427.2883083 -
NLM
Barbosa Neto SM, Cosley D, Sharma A, César Júnior RM. Averaging gone wrong: using time-aware analyses to better understand behavior [Internet]. Proceedings. 2016 ;[citado 2026 jan. 22 ] Available from: https://doi.org/10.1145/2872427.2883083 -
Vancouver
Barbosa Neto SM, Cosley D, Sharma A, César Júnior RM. Averaging gone wrong: using time-aware analyses to better understand behavior [Internet]. Proceedings. 2016 ;[citado 2026 jan. 22 ] Available from: https://doi.org/10.1145/2872427.2883083 - Revealing social networks\' missed behavior: detecting reactions and time-aware analyses
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Informações sobre o DOI: 10.1145/2872427.2883083 (Fonte: oaDOI API)
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