Published November 11, 2020
| Version 1.1.0
Dataset
Open
Topics in Research on International Relations as Clusters of Citation Links
Contributors
Contact person:
Project member:
Researcher:
- 1. Freie Universität Berlin
- 2. Humboldt-Universität zu Berlin
Description
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_00108
Notes
Data 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).
Files
citing.journals.of.clusters.pdf
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Additional details
References
- Frank Havemann (2020), Topics as Clusters of Citation Links to Highly Cited Sources: The Case of Research on International Relations. Arxiv:2007.15254
Subjects
- scientometrics
- https://en.wikipedia.org/wiki/Scientometrics
- network theory
- https://en.wikipedia.org/wiki/Network_theory
- citation analysis
- https://en.wikipedia.org/wiki/Citation_analysis
- memetic algorithm
- https://en.wikipedia.org/wiki/Memetic_algorithm
- cluster analysis
- https://en.wikipedia.org/wiki/Cluster_analysis