The role of location and social strength for friendship prediction in location-based social networks (2018)
- Authors:
- Autor USP: LOPES, ALNEU DE ANDRADE - ICMC
- Unidade: ICMC
- DOI: 10.1016/j.ipm.2018.02.004
- Subjects: APRENDIZADO COMPUTACIONAL; MINERAÇÃO DE DADOS; MÍDIAS SOCIAIS
- Keywords: Location-based social networks; Link prediction; Friendship recommendation; Human mobility; User behavior
- Language: Inglês
- Imprenta:
- Publisher place: Kidlington
- Date published: 2018
- Source:
- Título do periódico: Information Processing & Management
- ISSN: 0306-4573
- Volume/Número/Paginação/Ano: v. 54, n. 4, p. 475-489, July 2018
- Este periódico é de assinatura
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: green
-
ABNT
VALVERDE-REBAZA, Jorge Carlos et al. The role of location and social strength for friendship prediction in location-based social networks. Information Processing & Management, v. 54, n. 4, p. 475-489, 2018Tradução . . Disponível em: https://doi.org/10.1016/j.ipm.2018.02.004. Acesso em: 29 mar. 2024. -
APA
Valverde-Rebaza, J. C., Roche, M., Poncelet, P., & Lopes, A. de A. (2018). The role of location and social strength for friendship prediction in location-based social networks. Information Processing & Management, 54( 4), 475-489. doi:10.1016/j.ipm.2018.02.004 -
NLM
Valverde-Rebaza JC, Roche M, Poncelet P, Lopes A de A. The role of location and social strength for friendship prediction in location-based social networks [Internet]. Information Processing & Management. 2018 ; 54( 4): 475-489.[citado 2024 mar. 29 ] Available from: https://doi.org/10.1016/j.ipm.2018.02.004 -
Vancouver
Valverde-Rebaza JC, Roche M, Poncelet P, Lopes A de A. The role of location and social strength for friendship prediction in location-based social networks [Internet]. Information Processing & Management. 2018 ; 54( 4): 475-489.[citado 2024 mar. 29 ] Available from: https://doi.org/10.1016/j.ipm.2018.02.004 - Efficient identification of duplicate bibliographical references
- Information extraction from tagged bibliographical references
- A graph-based bagging
- An open source tool for crowd-sourcing the manual annotation of texts
- Link prediction in graph construction for supervised and semi-supervised learning
- Exploring data classification with k-associated network
- Bipartite graph for topic extraction
- Structural link prediction using community information on Twitter
- Graph-based cross-validated committees ensembles
- Data visualization and relevance feedback applied to information retrieval
Informações sobre o DOI: 10.1016/j.ipm.2018.02.004 (Fonte: oaDOI API)
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