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TweetsKB (Part 4, Nov 2015 - Aug 2016)
Fafalios, Pavlos; Iosifidis, Vasileios;
Fafalios, Pavlos; Iosifidis, Vasileios;
TweetsKB (Part 4, Nov 2015 - Aug 2016)
TweetsKB is a public RDF corpus of anonymized data for a large collection of annotated tweets. The dataset currently contains data for more than 1.9 billion tweets, spanning more than 7 years (2013 - 2020). Metadata information about the tweets as well as extracted entities, sentiments, hashtags, user mentions and URLs are exposed in RDF using established RDF/S vocabularies*. Example queries and more information are available through TweetsKB's home page: https://data.gesis.org/tweetskb/. * For the sake of privacy, we anonymize user IDs and we do not provide the text of the tweets.
EOSC: Twitter Data
microblogging, twitter, linked data, tweets, RDF
microblogging, twitter, linked data, tweets, RDF
EOSC: Twitter Data
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 views 364 downloads 168 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 - 364views168downloads
citations
Citations provided by BIP!
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).
Citations provided by BIP!popularityPopularity 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.
Popularity provided by BIP!influenceInfluence 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).
Influence provided by BIP!impulseImpulse provided by BIP!
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
Impulse provided by BIP!viewsViews provided by UsageCounts
Views provided by UsageCountsdownloadsDownloads provided by UsageCounts
Downloads provided by UsageCounts 0
Average
Average
Average
364
168
TweetsKB is a public RDF corpus of anonymized data for a large collection of annotated tweets. The dataset currently contains data for more than 1.9 billion tweets, spanning more than 7 years (2013 - 2020). Metadata information about the tweets as well as extracted entities, sentiments, hashtags, user mentions and URLs are exposed in RDF using established RDF/S vocabularies*. Example queries and more information are available through TweetsKB's home page: https://data.gesis.org/tweetskb/. * For the sake of privacy, we anonymize user IDs and we do not provide the text of the tweets.