Analyzing spatio-temporal patterns of online public attentions in emergency events: A case study of 2009 H1N1 influenza outbreak in China

Kainan Cui, Xiaolong Zheng, Zhu Zhang, Dajun Zeng

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Understanding the public attention and perception towards epidemics is critical for public health response. However, the research question concerning the spatio-temporal patterns of public attention and the interactions with media attention and severity of epidemic is still not well studied. Aim to fill this research gap, we chose the H1N1 influenza outbreak in the mainland of China in 2009 as case to study the spatio-temporal patterns of public attention, and their correlations with media attention and severity of epidemic. The results of this paper indicate that public attention and media attention had high correlation from both temporal and spatial perspectives, which can provide us significant insights to understand the collective behavior of massive online users during emergency events.

Original languageEnglish (US)
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PublisherSpringer Verlag
Pages44-50
Number of pages7
Volume8549 LNCS
ISBN (Print)9783319084152
DOIs
StatePublished - 2014
Externally publishedYes
Event2nd International Conference for Smart Health, CSH 2014 - Beijing, China
Duration: Jul 10 2014Jul 11 2014

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8549 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other2nd International Conference for Smart Health, CSH 2014
CountryChina
CityBeijing
Period7/10/147/11/14

Fingerprint

Spatio-temporal Patterns
Influenza
Emergency
China
Public health
Collective Behavior
Public Health
Choose
Interaction

Keywords

  • emergency response
  • epidemic outbreaks
  • influenza
  • Information diffusion
  • public attenion

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Cui, K., Zheng, X., Zhang, Z., & Zeng, D. (2014). Analyzing spatio-temporal patterns of online public attentions in emergency events: A case study of 2009 H1N1 influenza outbreak in China. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8549 LNCS, pp. 44-50). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8549 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-08416-9_5

Analyzing spatio-temporal patterns of online public attentions in emergency events : A case study of 2009 H1N1 influenza outbreak in China. / Cui, Kainan; Zheng, Xiaolong; Zhang, Zhu; Zeng, Dajun.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 8549 LNCS Springer Verlag, 2014. p. 44-50 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8549 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Cui, K, Zheng, X, Zhang, Z & Zeng, D 2014, Analyzing spatio-temporal patterns of online public attentions in emergency events: A case study of 2009 H1N1 influenza outbreak in China. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 8549 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 8549 LNCS, Springer Verlag, pp. 44-50, 2nd International Conference for Smart Health, CSH 2014, Beijing, China, 7/10/14. https://doi.org/10.1007/978-3-319-08416-9_5
Cui K, Zheng X, Zhang Z, Zeng D. Analyzing spatio-temporal patterns of online public attentions in emergency events: A case study of 2009 H1N1 influenza outbreak in China. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 8549 LNCS. Springer Verlag. 2014. p. 44-50. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-319-08416-9_5
Cui, Kainan ; Zheng, Xiaolong ; Zhang, Zhu ; Zeng, Dajun. / Analyzing spatio-temporal patterns of online public attentions in emergency events : A case study of 2009 H1N1 influenza outbreak in China. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 8549 LNCS Springer Verlag, 2014. pp. 44-50 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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