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Libao Jin

Dados Biográficos

ID3635954
NOMELibao Jin
PRENOMESLibao
SOBRENOMEJin
ASSINATURAJIN L
AFILIAÇÕESUniversity of Wyoming
VERIFICADONão
TOTAL DE OBRAS1
TOTAL DE CITAÇÕES3
TOTAL COMO AUTOR1
TOTAL COMO EDITOR0
PRIMEIRO ANO DE PUBLICAÇÃO2023
ANO MAIS RECENTE DE PUBLICAÇÃO2023
ÍNDICE H1
  • An Empirical Spatial Network Model Based on Human Mobility for Epidemiological Research

    Chen Xu, Libao Jin et al.•ARTICLE•Annals of the American…•2023•Citada por: 3•Referências: 61

    Constructing a data-driven spatial contact network model is challenging in epidemiological research. In this study, we examine the applicability of geotagged Twitter data as an instrumental data source for tackling such a challenge. Geotagged Twitter data carrying geolocations of the account users have the strength for longitudinal data collection at a massive scale. Still, the unstructured nature of the data exerts significant methodological and…

  • An Empirical Spatial Network Model Based on Human Mobility for Epidemiological Research

    Chen Xu, Libao Jin et al.•ARTICLE•Annals of the American…•2023•Citada por: 3•Referências: 61

    Constructing a data-driven spatial contact network model is challenging in epidemiological research. In this study, we examine the applicability of geotagged Twitter data as an instrumental data source for tackling such a challenge. Geotagged Twitter data carrying geolocations of the account users have the strength for longitudinal data collection at a massive scale. Still, the unstructured nature of the data exerts significant methodological and…

  • An Empirical Spatial Network Model Based on Human Mobility for Epidemiological Research

    Chen Xu, Libao Jin et al.•ARTICLE•Annals of the American…•2023•Citada por: 3•Referências: 61

    Constructing a data-driven spatial contact network model is challenging in epidemiological research. In this study, we examine the applicability of geotagged Twitter data as an instrumental data source for tackling such a challenge. Geotagged Twitter data carrying geolocations of the account users have the strength for longitudinal data collection at a massive scale. Still, the unstructured nature of the data exerts significant methodological and…

Big data (1 obras) · Cartography (1 obras) · Complex Network Analysis Techniques (1 obras) · Computer Science (1 obras) · Data mining (1 obras) · Data modeling (1 obras) · Data science (1 obras) · Data-Driven Disease Surveillance (1 obras) · Database (1 obras) · Geography (1 obras)

Ethnos_APP • Projeto Open Source • Licença MIT • Frontend v2.0.0 • Privacidade e Cookies • Documentação da API: api.ethnos.app/docs • Código da API: GitHub • DOI: 10.5281/zenodo.17049435 • Código do Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae