Dataset Open Access

URLs from tweets for a 2014 sample of Twitter users and for a set of computer scientists

Robert Jäschke

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  <identifier identifierType="DOI">10.5281/zenodo.580587</identifier>
      <creatorName>Robert Jäschke</creatorName>
      <affiliation>University of Sheffield</affiliation>
    <title>Urls From Tweets For A 2014 Sample Of Twitter Users And For A Set Of Computer Scientists</title>
    <contributor contributorType="DataCollector">
      <contributorName>Asmelash, Teka Hadgu</contributorName>
      <affiliation>L3S Research Center</affiliation>
    <date dateType="Issued">2017-05-17</date>
  <resourceType resourceTypeGeneral="Dataset"/>
    <alternateIdentifier alternateIdentifierType="url"></alternateIdentifier>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsNewVersionOf">10.5281/zenodo.154583</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsSupplementTo">10.5281/zenodo.12942</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsSupplementTo">10.1371/journal.pone.0179630</relatedIdentifier>
    <rights rightsURI="">Creative Commons Attribution Share-Alike 4.0</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
    <description descriptionType="Abstract">&lt;p&gt;The files in this dataset are used to analyse the tweeting behaviour of computer scientists on Twitter. They comprise&lt;/p&gt;

	&lt;li&gt;a set of 989,529 tweet-URL pairs (&lt;em&gt;tweets_2014_researcher.tsv.bz2&lt;/em&gt;) from 2014 from 6,271 users of the computer scientists sample in specified by time, tweet id, user id, and URL,&lt;/li&gt;
	&lt;li&gt;a set of 300,053,850 tweet ids (&lt;em&gt;tweets_2014_sample.tsv.bz2&lt;/em&gt;) from the 1% Twitter stream sample from 2014,&lt;/li&gt;
	&lt;li&gt;a set of 605,080 tweet-URL pairs (&lt;em&gt;tweets_2014_sample_6694_users.tsv.bz2&lt;/em&gt;) from the 1% Twitter stream sample from 2014 for 6,694 users specified by time, tweet id, user id, and URL,&lt;/li&gt;
	&lt;li&gt;a set of the top 10,000 host names (&lt;em&gt;MAG_hosts_10000.tsv&lt;/em&gt;) from the Microsoft Academic Graph data (, specified by rank, URL count, and host name, and&lt;/li&gt;
	&lt;li&gt;a set of 340 host names of URL shortening services (&lt;em&gt;url_shortening_services.tsv&lt;/em&gt;).&lt;/li&gt;

&lt;p&gt;In addition, the following rankings (based on the odds ratio) of domains, hosts, and URLs that appear in both the researcher dataset and the sample are included:&lt;/p&gt;

	&lt;li&gt;&lt;em&gt;domains_by_odds_ratio.tsv.bz2&lt;/em&gt; - a ranking of 61,860 domains,&lt;/li&gt;
	&lt;li&gt;&lt;em&gt;hosts_by_odds_ratio.tsv.bz2&lt;/em&gt; - a ranking of 80,384 hosts,&lt;/li&gt;
	&lt;li&gt;&lt;em&gt;publisher_domains_by_odds_ratio.tsv.bz2&lt;/em&gt; - a ranking of 924 publisher domains,&lt;/li&gt;
	&lt;li&gt;&lt;em&gt;publisher_urls_by_odds_ratio.tsv.bz2&lt;/em&gt; - a ranking of 4,227 publisher URLs.&lt;/li&gt;
    <description descriptionType="Other">This is an updated and extended version of 10.5281/zenodo.154583 where a new sample of users has been used, resulting in an updated file tweets_2014_sample_6694_users.tsv.bz2. In addition, domain, host, and URL rankings have been added.</description>
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