Dataset on dynamics of Coronavirus on Twitter
| Main Author: | Aguilar-Gallegos, Norman |
|---|---|
| Format: | Dataset |
| Terbitan: |
Mendeley
, 2020
|
| Subjects: | |
| Online Access: |
https:/data.mendeley.com/datasets/7ph4nx8hnc |
| ctrlnum |
0.17632-7ph4nx8hnc.1 |
|---|---|
| fullrecord |
<?xml version="1.0"?>
<dc><creator>Aguilar-Gallegos, Norman</creator><title>Dataset on dynamics of Coronavirus on Twitter</title><publisher>Mendeley</publisher><description>This dataset comprises different databases related to the Twitter posts around coronavirus.
The general dataset consists of 8,982,694 Twitter posts (tweets). All the data collected was searched using the keyword “Coronavirus”. The 8.98M were gathered from January 21 to February 12, 2020, i.e. 23 days.</description><subject>Social Sciences</subject><subject>Health Informatics</subject><subject>Social Media</subject><subject>Social Network Analysis</subject><subject>Coronavirus</subject><subject>Twitter</subject><type>Other:Dataset</type><identifier>10.17632/7ph4nx8hnc.1</identifier><rights>Creative Commons Attribution 4.0 International</rights><rights>http://creativecommons.org/licenses/by/4.0</rights><relation>https:/data.mendeley.com/datasets/7ph4nx8hnc</relation><date>2020-03-25T06:12:40Z</date><recordID>0.17632-7ph4nx8hnc.1</recordID></dc>
|
| format |
Other:Dataset Other |
| author |
Aguilar-Gallegos, Norman |
| title |
Dataset on dynamics of Coronavirus on Twitter |
| publisher |
Mendeley |
| publishDate |
2020 |
| topic |
Social Sciences Health Informatics Social Media Social Network Analysis Coronavirus |
| url |
https:/data.mendeley.com/datasets/7ph4nx8hnc |
| contents |
This dataset comprises different databases related to the Twitter posts around coronavirus.
The general dataset consists of 8,982,694 Twitter posts (tweets). All the data collected was searched using the keyword “Coronavirus”. The 8.98M were gathered from January 21 to February 12, 2020, i.e. 23 days. |
| id |
IOS7969.0.17632-7ph4nx8hnc.1 |
| institution |
Universitas Islam Indragiri |
| affiliation |
onesearch.perpusnas.go.id |
| institution_id |
804 |
| institution_type |
library:university library |
| library |
Teknologi Pangan UNISI |
| library_id |
2816 |
| collection |
Artikel mulono |
| repository_id |
7969 |
| city |
INDRAGIRI HILIR |
| province |
RIAU |
| shared_to_ipusnas_str |
1 |
| repoId |
IOS7969 |
| first_indexed |
2020-04-08T08:32:44Z |
| last_indexed |
2020-04-08T08:32:44Z |
| recordtype |
dc |
| _version_ |
1686587769650937856 |
| score |
17.538404 |