Clickstream data yields high-resolution maps of science
Journal Article
·
· Public Library of Science ONE
- Los Alamos National Laboratory
Intricate maps of science have been created from citation data to visualize the structure of scientific activity. However, most scientific publications are now accessed online. Scholarly web portals record detailed log data at a scale that exceeds the number of all existing citations combined. Such log data is recorded immediately upon publication and keeps track of the sequences of user requests (clickstreams) that are issued by a variety of users across many different domains. Given these advantagees of log datasets over citation data, we investigate whether they can produce high-resolution, more current maps of science.
- Research Organization:
- Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
- Sponsoring Organization:
- USDOE
- DOE Contract Number:
- AC52-06NA25396
- OSTI ID:
- 956431
- Report Number(s):
- LA-UR-09-00951; LA-UR-09-951; TRN: US201013%%160
- Journal Information:
- Public Library of Science ONE, Journal Name: Public Library of Science ONE
- Country of Publication:
- United States
- Language:
- English
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