Mining social media data: information diffusion and social engagement in the Greater Region

Reference : Mining social media data: information diffusion and social engagement in the Greater ...


	Document type :	Scientific congresses, symposiums and conference proceedings : Poster
	Discipline(s) :	Engineering, computing & technology : Computer science
	Focus Areas :	Computational Sciences
	To cite this reference:	http://hdl.handle.net/10993/47249

Title :	Mining social media data: information diffusion and social engagement in the Greater Region
Language :	English
Author, co-author :	Chen, Ninghan [University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Computer Science (DCS) >]
Publication date :	21-May-2021
Peer reviewed :	No
On invitation :	Yes
Audience :	National
Event name :	DTU DRIVEN Colloquium
Event date :	21/05/2021
Event organizer :	Andreas Zilian
Event place (city) :	University of Luxembourg
Event country :	Luxembourg
Keywords :	[en] Computational social science ; Social media ; Deep learning
Target :	Researchers
Permalink :	http://hdl.handle.net/10993/47249
FnR project :	FnR ; FNR12252781 > Andreas Zilian > DRIVEN > Data-driven Computational Modelling And Applications > 01/09/2018 > 28/02/2025 > 2017

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	File	Commentary	Version	Size	Access
Open access	Poster2021.pdf		Author preprint	2.3 MB	View/Open

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