1,721,003 research outputs found
Topics in Research on International Relations as Clusters of Citation Links
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
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)
Beschleunigung der Wissenschaftskommunikation durch Open Access und neue Möglichkeiten der Qualitätssicherung
Beschleunigung der Wissenschaftskommunikation durch Open Access und neue Möglichkeiten der Qualitätssicherung
status: Publishe
Measuring Diversity of Research by Extracting Latent Themes from Bipartite Networks of Papers and References
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
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
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
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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