A graph-based approach for population health analysis using Geo-tagged tweets

Nguyen, Hung, Nguyen, Thin and Nguyen, Duc Thanh 2021, A graph-based approach for population health analysis using Geo-tagged tweets, Multimedia tools and applications, vol. 80, pp. 7187-7204, doi: 10.1007/s11042-020-10034-0.

Attached Files
Name Description MIMEType Size Downloads

Title A graph-based approach for population health analysis using Geo-tagged tweets
Author(s) Nguyen, Hung
Nguyen, ThinORCID iD for Nguyen, Thin orcid.org/0000-0003-3467-8963
Nguyen, Duc ThanhORCID iD for Nguyen, Duc Thanh orcid.org/0000-0002-2285-2066
Journal name Multimedia tools and applications
Volume number 80
Start page 7187
End page 7204
Total pages 18
Publisher Springer
Place of publication New York, N.Y.
Publication date 2021-02
ISSN 1380-7501
Keyword(s) Science & Technology
Computer Science, Information Systems
Computer Science, Software Engineering
Computer Science, Theory & Methods
Engineering, Electrical & Electronic
Computer Science
Large-scale computing
Health on the web
Population health
Geo-tagged tweets
Language eng
DOI 10.1007/s11042-020-10034-0
Indigenous content off
Field of Research 0803 Computer Software
0805 Distributed Computing
0806 Information Systems
0801 Artificial Intelligence and Image Processing
HERDC Research category C1 Refereed article in a scholarly journal
Persistent URL http://hdl.handle.net/10536/DRO/DU:30144731

Connect to link resolver
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 0 times in TR Web of Science
Scopus Citation Count Cited 0 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 16 Abstract Views, 4 File Downloads  -  Detailed Statistics
Created: Mon, 02 Nov 2020, 16:07:54 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.