1,721,003 research outputs found

    Topics in Research on International Relations as Clusters of Citation Links

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    Data, scripts, and results of a memetic topic clustering of citation links in papers published 2011-2015 in the specialty of political science that is dealing with international relations Supplementary Information to the paper about "Topics as clusters of citation links to highly cited sources: The case of research on international relation" by Frank Havemann (published 2021 in the OA-journal Quantitative Science Studies 2 (1): 204–223). https://doi.org/10.1162/qss_a_00108Data are described in the file read.me.R and in the paper "Topics as Clusters of Citation Links to Highly Cited Sources: The Case of Research on International Relations" by Frank Havemann. It is available at https://doi.org/10.1162/qss_a_00108 and as an arXiv-preprint: 2007.15254. This work is part of the Global Pathways project (http://t1p.de/globalpathways) sponsored by DFG (grant RI 798/11-1). The raw data were obtained from the Web of Science database produced by Clarivate Analytics. Due to license restrictions, the data cannot be made openly available. To obtain Web of Science data, please contact Clarivate Analytics (https://clarivate.com/ products/web-of-science)

    Topics in Research on International Relations 2011-2015: Results from Clustering of Citation Links

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    Supplementary information for the paper IR Theory and the Core-Periphery Structure of Global IR - Lessons from Citation Analysis by Thomas Risse, Wiebke Wemheuer-Vogelaar, and Frank Havemann (International Studies Review, 2022, Vol. 4, Iss. 3, doi.org/10.1093/isr/viac029) Description of Files: File 1: Top-300 Cited Sources and Citing IR Journals file name: Havemann2020top-300-sources.pdf (fourth file in list) content: List of top-300 cited sources and a list of IR journals used for downloads from Web of Science File 2: Cited Sources in Clusters file name: Havemann2020clusters.pdf (third file in list) content: Lists of cited sources in link clusters and graphs of these clusters File 3: Citing Journals of Clusters file name: citing.journals.of.clusters.pdf (second file in list) content: Rank lists of publication channels with regard to numbers of papers citing papers in clusters File 4: Rank Lists of Cited Sources in Seven Journals Outside Web of Science file name: cited-sources-in-7-journals.zip (first file in list) content: Seven ASCII files A preprint of the ISR paper by Risse, Wemheuer-Vogelaar, and Havemann was published with the title "Theory Makes Global IR Hang Together. Lessons from Citation Analysis" and is available at: Refubium-OSI-IR-groupData are described in the file read.me.txt. This work is part of the Global Pathways project (http://t1p.de/globalpathways) sponsored by DFG (grant RI 798/11-1). The raw data were obtained from the Web of Science database produced by Clarivate Analytics. Due to license restrictions, the data cannot be made openly available. To obtain Web of Science data, please contact Clarivate Analytics (https://clarivate.com/ products/web-of-science)

    Measuring Diversity of Research by Extracting Latent Themes from Bipartite Networks of Papers and References

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    Inspired by the hypothesis that the diversity of research might decline as a result of new science policy measures we explore the potential of bibliometric measures for analysing the diversity of research at meso- and macro-levels of (national sub-) fields, countries, and organisations. Our aim is to render changes in the diversity of research landscapes measurable and therefore comparable in time series as well as between different countries. We discuss different methodological approaches and some results based on a method that extracts latent themes from bipartite networks of research papers and their cited references by singular value decomposition of the citation matrix

    The methodological status of co-authorship networks

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    A powerful strategy within the study of collaboration in science is to posit that co-authorship patterns represent social networks. It is prerequisite to an application of Social Network Analysis (SNA) to define the network entities. A network analysis of the inter-institutional collaboration in COLLNET on the basis of co-authorships was conducted. The study reveals that it is crucial whether the co-authorship itself is seen as an author's relational property or as a social event that brings the authors together. The former possibility is represented by a onemode network in which each author can be related to each other author. Quite distinct from that are two-mode networks, the latter approach. They consist of two single data sets in which relations are only possible between different sets. Different modes of representations require different network approaches. One is that co-authorship networks are seen as one-mode networks, which has the advantage of the application of a variety of measures. In contrast, twomode networks, the other option, cannot be analysed by standard techniques but its distinctive features demand a new conceptualisation of measures. In conclusion, the two-mode perspective is more promising because it allows a dual perspective on collaboration in science which includes researchers as well as their scientific output

    Integrität wissenschaftlicher Publikationen in der Digitalen Bibliothek: Wissenschaftsforschung Jahrbuch 2007

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    Im digitalen Zeitalter kommt es zu einem Wandel wissenschaftlichen Arbeitens, zur Zeit vor allem in dem Maße, wie die Potenziale der elektronischen Laborjournale und des elektronischen Publizierens im Internet als unverzichtbares Medium der Bereitstellung und Verbreitung von wissenschaftlichen Dokumenten genutzt werden. Den Vorzügen der elektronischen Publikationsform stehen zwei miteinander verbundene Probleme gegenüber, die noch nicht zufriedenstellend gelöst sind: das Problem der Authentizität und das der Langzeitarchivierung. Um die Vorzüge des elektronischen Publizierens für wissenschaftliche Dokumente voll wirksam werden zu lassen, müssen Lösungen gefunden und eingeführt werden, die die Integrität der wissenschaftlichen Veröffentlichungen langfristig sichern. Erste Lösungen liegen vor und werden in der Anwendung überprüft, weitere Lösungen werden zu finden und in ihrer Anwendung zu überprüfen sein. Die Vorteile elektronischer wissenschaftlicher Publikationen liegen auf der Hand − Schnelligkeit und weltweiter Zugriff auf alle relevanten Informationen. Einiges spricht dafür, dass wir erst am Anfang einer zweiten Medienrevolution stehen. Es ist aber heute schon gewiss, dass die elektronischen Medien nicht nur technisch neue Möglichkeiten der Wissensvermittlung erschließen, sondern die Wissensproduktion selbst verändern werden. Untersuchungen zur Qualitätssicherung und Integrität wissenschaftlicher Publikationen in der Digitalen Bibliothek sind ein wichtiges Anliegen der Wissenschaftsforschung, dem sich die Gesellschaft für Wissenschaftsforschung im Rahmen ihrer Jahrestagung am 23. und 24. März 2007 gemeinsam mit dem Institut für Bibliotheks- und Informationswissenschaft der Humboldt-Universität zu Berlin zugewandt hat. Die Beiträge dieses Jahrbuchs sollen dazu beitragen, einen Einblick in theoretische und praktische Probleme der neuen Kultur des elektronischen Publizierens in der Wissenschaft zu geben.Peer Reviewe

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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