From #jobsearch to #mask: improving COVID-19 cascade prediction with spillover effects

Reference : From #jobsearch to #mask: improving COVID-19 cascade prediction with spillover effects


	Document type :	Scientific congresses, symposiums and conference proceedings : Paper published in a journal
	Discipline(s) :	Engineering, computing & technology : Computer science
	Focus Areas :	Computational Sciences
	To cite this reference:	http://hdl.handle.net/10993/54556

Title :	From #jobsearch to #mask: improving COVID-19 cascade prediction with spillover effects
Language :	English
Author, co-author :	Chen, 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) >]
Publication date :	12-Oct-2021
Journal title :	Proceedings of the 2021 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
Pages :	455–462
Peer reviewed :	Yes
On invitation :	No
Audience :	International
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
Permalink :	http://hdl.handle.net/10993/54556
DOI :	10.1145/3487351.3488555
FnR project :	FnR ; FNR12252781 > Andreas Zilian > DRIVEN > Data-driven Computational Modelling And Applications > 01/09/2018 > 28/02/2025 > 2017

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