GEOGRAPHICAL PRIORITIZATION OF SOCIAL NETWORK MESSAGES IN NEAR REAL-TIME USING SENSOR DATA STREAMS: AN APPLICATION TO FLOODS

Conteúdo do artigo principal

Luiz Fernando Ferreira Gomes de Assis
João Porto de Albuquerque
Benjamin Herfort
Enrico Steiger
Flávio Eduardo Aoki Horita

Resumo

Social networks have been used to overcome the problem of incomplete offi cial data, and to provide a more detailed description of a disaster. However, the ï¬ ltering of relevant messages on-the-fl y remains challenging due to the large amount of misleading, outdated or inaccurate information. This paper presents an approach for the automated geographic prioritization of social network messages for fl ood risk management based on sensor data streams. It was evaluated using data from Twitter and a monitoring agency of Brazil. The results revealed that the proposed approach is useful for identifying valuable fl ood-related messages in near real-time.

Downloads

Não há dados estatísticos.

Métricas

Carregando Métricas ...

Detalhes do artigo

Como Citar
ASSIS, L. F. F. G. de; ALBUQUERQUE, J. P. de; HERFORT, B.; STEIGER, E.; HORITA, F. E. A. GEOGRAPHICAL PRIORITIZATION OF SOCIAL NETWORK MESSAGES IN NEAR REAL-TIME USING SENSOR DATA STREAMS: AN APPLICATION TO FLOODS. Revista Brasileira de Cartografia, [S. l.], v. 68, n. 6, 2018. DOI: 10.14393/rbcv68n6-44489. Disponível em: https://seer.ufu.br/index.php/revistabrasileiracartografia/article/view/44489. Acesso em: 15 jul. 2024.
Seção
Artigos

Artigos mais lidos pelo mesmo(s) autor(es)