The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Mapping the geography of science: Distribution patterns and networks of relations among cities and institutes
Open accessAbstract
Using Google Earth, Google Maps, and/or network visualization programs such as Pajek, one can overlay the network of relations among addresses in scientific publications onto the geographic map. The authors discuss the pros and cons of various options, and provide software (freeware) for bridging existing gaps between the Science Citation Indices (Thomson Reuters) and Scopus (Elsevier), on the one hand, and these various visualization tools on the other. At the level of city names, the global map can be drawn reliably on the basis of the available address information. At the level of the names of organizations and institutes, there are problems of unification both in the ISI databases and with Scopus. Pajek enables a combination of visualization and statistical analysis, whereas the Google Maps and its derivatives provide superior tools on the Internet.
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Citations
Cites
Exploratory Social Network Analysis with Pajek
de Nooy, W., Mrvar, A., & Batagelj, V. (2005) · doi:10.1017/cbo9780511806452 · Cited by 1,244
How to normalize cooccurrence data? An analysis of some well‐known similarity measures
Eck, N. J. V., & Waltman, L. (2009) · Journal of the American Society for Information Science and Technology · doi:10.1002/asi.21075 · Cited by 966
Cited by
Baas, J., Schotten, M., Plume, A., Côté, G., & Karimi, R. (2020) · Quantitative Science Studies · doi:10.1162/qss_a_00019 · Cited by 2,093
Metadata
- Authors
- Leydesdorff, L., & Persson, O.
- Venue
- Journal of the American Society for Information Science and Technology
- Publisher
- Wiley
- Published
- 2010-04-19
- Volume
- 61
- Issue
- 8
- Pages
- 1622-1634
- ISSN
- 1532-2882 (ISSN-L)
- 1532-2890
- OpenAlex
- W2091013346
- Cited by
- 158
- References
- 2
- FWCI
- 20.51
- Type
- journal article
- Language
- en
- Open access
- green
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- Leydesdorff, L., & Persson, O. (2010). Mapping the geography of science: Distribution patterns and networks of relations among cities and institutes. Journal of the American Society for Information Science and Technology. https://doi.org/10.1002/asi.21347
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
