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From #jobsearch to #mask: improving COVID-19 cascade prediction with spillover effects
CCHEN, Ninghan; CHEN, Xihui; Zhong, Zhiqiang et al.
2021In Proceedings of the 2021 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, p. 455–462
Peer reviewed
 

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Disciplines :
Computer science
Author, co-author :
CCHEN, Ninghan ;  University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Computer Science (DCS)
CHEN, Xihui ;  University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Computer Science (DCS)
Zhong, Zhiqiang
Pang, Jun  ;  University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Computer Science (DCS)
External co-authors :
no
Language :
English
Title :
From #jobsearch to #mask: improving COVID-19 cascade prediction with spillover effects
Publication date :
12 October 2021
Event name :
2021 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
Event date :
from 08-11-2021 to 11-11-2021
Audience :
International
Journal title :
Proceedings of the 2021 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
Pages :
455–462
Peer reviewed :
Peer reviewed
Focus Area :
Computational Sciences
FnR Project :
FNR12252781 - Data-driven Computational Modelling And Applications, 2017 (01/09/2018-28/02/2025) - Andreas Zilian
Available on ORBilu :
since 09 March 2023

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