

Found an issue? Give us feedback
Please grant OpenAIRE to access and update your ORCID works.
This Research product is the result of merged Research products in OpenAIRE.
You have already added 0 works in your ORCID record related to the merged Research product.
You have already added 0 works in your ORCID record related to the merged Research product.
This Research product is the result of merged Research products in OpenAIRE.
You have already added 0 works in your ORCID record related to the merged Research product.
You have already added 0 works in your ORCID record related to the merged Research product.
All Research products
<script type="text/javascript">
<!--
document.write('<div id="oa_widget"></div>');
document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=undefined&type=result"></script>');
-->
</script>
For further information contact us at helpdesk@openaire.eu
Please grant OpenAIRE to access and update your ORCID works.
This Research product is the result of merged Research products in OpenAIRE.
You have already added 0 works in your ORCID record related to the merged Research product.
You have already added 0 works in your ORCID record related to the merged Research product.
This Research product is the result of merged Research products in OpenAIRE.
You have already added 0 works in your ORCID record related to the merged Research product.
You have already added 0 works in your ORCID record related to the merged Research product.
TweetsCOV19 - Geolocation Data (Part 1, October 2019 - April 2020)
Authors: Segeth, Dennis; Dimitrov, Dimitar;
Segeth, Dennis; Dimitrov, Dimitar;
Abstract
We provide a tab-separated values (tsv) of the TweetsCOV19 geolocation dataset. Each line contains tweet ID, latitude, longitude, country, state, county, city information separated by tab character ("\t").
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).0 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average visibility views 232 download downloads 14 citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).0 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average Powered byBIP!
- 232views14downloads

Found an issue? Give us feedback
popularity
Popularity provided by BIP!
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
influence
Influence provided by BIP!
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
impulse
Impulse provided by BIP!
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
views
Views provided by UsageCounts

downloads
Downloads provided by UsageCounts

Average
Average
Average
232
14
We provide a tab-separated values (tsv) of the TweetsCOV19 geolocation dataset. Each line contains tweet ID, latitude, longitude, country, state, county, city information separated by tab character ("\t").