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          <titl xml:lang="en">DDI study level documentation for study 10.7802/1520 Collaborations of computer scientists between 1970 and 2016</titl>
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        <holdings xml:lang="en" URI="https://search.gesis.org/research_data/SDN-10.7802-1520?lang=en"/><holdings xml:lang="de" URI="https://search.gesis.org/research_data/SDN-10.7802-1520?lang=de"/>
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        <titl xml:lang="en">Collaborations of computer scientists between 1970 and 2016</titl>
        <parTitl xml:lang="de">Collaborations of computer scientists between 1970 and 2016</parTitl>
        <IDNo xml:lang="en" agency="GESIS">10.7802/1520</IDNo><IDNo xml:lang="de" agency="GESIS">10.7802/1520</IDNo><IDNo xml:lang="en" agency="DOI">10.7802/1520</IDNo><IDNo xml:lang="de" agency="DOI">10.7802/1520</IDNo>
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        <AuthEnty affiliation="GESIS - Leibniz-Institute for the Social Sciences" xml:lang="en">Jadidi, Mohsen
        </AuthEnty><AuthEnty affiliation="GESIS - Leibniz-Institute for the Social Sciences" xml:lang="de">Jadidi, Mohsen
        </AuthEnty>
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        <distrbtr abbr="GESIS" URI="http://www.gesis.org/" xml:lang="en">GESIS Data Archive for the Social Sciences</distrbtr><distrbtr abbr="GESIS" URI="http://www.gesis.org/" xml:lang="de">GESIS Datenarchiv für Sozialwissenschaften</distrbtr>
        <distDate xml:lang="en" date="2017"/><distDate xml:lang="de" date="2017"/>
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      <abstract xml:lang="en">This dataset describes the temporal evolution of collaborations in Computer Science based on papers that have been published between 1970 to 2016. It contains several data files in CSV format which embody information such as the author of publications for each year, its citations and the papers it is cited by. It also contains the inferred gender information of all authors. The publication and citation details are taken from DBLP and Aminer datasets respectively. This dataset along with the gender information is obtained from the methodology as specified in the 'Data' section of following paper https://arxiv.org/pdf/1704.05801.pdf</abstract><abstract xml:lang="de">This dataset describes the temporal evolution of collaborations in Computer Science based on papers that have been published between 1970 to 2016. It contains several data files in CSV format which embody information such as the author of publications for each year, its citations and the papers it is cited by. It also contains the inferred gender information of all authors. The publication and citation details are taken from DBLP and Aminer datasets respectively. This dataset along with the gender information is obtained from the methodology as specified in the 'Data' section of following paper https://arxiv.org/pdf/1704.05801.pdf</abstract>
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        <universe xml:lang="en" clusion="I">Computer scientists that published in venues covered by DBLP between 1970 and 2016. Dblp computer science bibliography is the on-line reference for bibliographic information on major computer science publications. As of May 2016, dblp indexes over 3.3 million publications, published by more than 1.7 million authors. To this end, dblp indexes about than 32,000 journal volumes, more than 31,000 conference or workshop proceedings, and more than 23,000 monographs.</universe>
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        <sampProc xml:lang="en">No sampling involved. It contains all authors and publications that are covered by DBLP.<concept/></sampProc><sampProc xml:lang="de">No sampling involved. It contains all authors and publications that are covered by DBLP.<concept/></sampProc>
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        <restrctn xml:lang="en">Free access (without registration) - The research data can be downloaded directly by anyone without further limitations.
CC BY-NC-SA 4.0: Namensnennung - Nicht kommerziell – Weitergabe unter gleichen Bedingungen  (http://creativecommons.org/licenses/by-nc-sa/4.0/deed.de)</restrctn><restrctn xml:lang="de">Freier Zugang (ohne Registrierung) - Die Forschungsdaten können von jedem direkt heruntergeladen werden.
CC BY-NC-SA 4.0: Namensnennung - Nicht kommerziell – Weitergabe unter gleichen Bedingungen  (http://creativecommons.org/licenses/by-nc-sa/4.0/deed.de)</restrctn>
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      <datestamp>2023-03-11</datestamp>
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