%0 Conference Paper %1 conf/eScience/SinnottLPTWW21 %A Sinnott, Richard O. %A Law, Phillip %A Pirkis, Jane %A Too, Lay San %A Waleem, Sadia %A Wu, Allan %B e-Science %D 2021 %I IEEE %K dblp %P 169-176 %T Historic Twitter Mining: A Case Study Aiming to Identify and Capture the Social Media Network Activities of People who Died by Suicide. %U http://dblp.uni-trier.de/db/conf/eScience/eScience2021.html#SinnottLPTWW21 %@ 978-1-6654-0361-0

@inproceedings{conf/eScience/SinnottLPTWW21, added-at = {2021-10-29T00:00:00.000+0200}, author = {Sinnott, Richard O. and Law, Phillip and Pirkis, Jane and Too, Lay San and Waleem, Sadia and Wu, Allan}, biburl = {https://www.bibsonomy.org/bibtex/28eef6aa7424b97ffbbf9ec5869537982/dblp}, booktitle = {e-Science}, crossref = {conf/eScience/2021}, ee = {https://doi.org/10.1109/eScience51609.2021.00027}, interhash = {35f192b6115283d32a6b2159d4593d54}, intrahash = {8eef6aa7424b97ffbbf9ec5869537982}, isbn = {978-1-6654-0361-0}, keywords = {dblp}, pages = {169-176}, publisher = {IEEE}, timestamp = {2024-04-09T10:33:29.000+0200}, title = {Historic Twitter Mining: A Case Study Aiming to Identify and Capture the Social Media Network Activities of People who Died by Suicide.}, url = {http://dblp.uni-trier.de/db/conf/eScience/eScience2021.html#SinnottLPTWW21}, year = 2021 }