Clickstream data yields high-resolution maps of science
Description/Abstract
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.
| Creator/Author: | Bollen, Johan [Los Alamos National Laboratory] ; Van De Sompel, Herbert [Los Alamos National Laboratory] ; Hagberg, Aric [Los Alamos National Laboratory] ; Bettencourt, Luis [Los Alamos National Laboratory] ; Chute, Ryan [Los Alamos National Laboratory] ; Rodriguez, Marko A [Los Alamos National Laboratory] ; Balakireva, Lyudmila [Los Alamos National Laboratory] |
|---|---|
| Publication Date: | 2009 Jan 01 |
| OSTI Identifier: | OSTI ID: 956431 |
| Report Number(s): | LA-UR-09-00951; LA-UR-09-951 |
| DOE Contract Number: | AC52-06NA25396 |
| Other Number(s): | TRN: US201013%%160 |
| Resource Type: | Journal Article |
| Resource Relation: | Journal Name: Public Library of Science ONE |
| Research Org: | Los Alamos National Laboratory (LANL) |
| Sponsoring Org: | DOE |
| Subject: | 99; MAPS; DATA; COMPUTERS; INFORMATION SYSTEMS |
| Country of Publication: | United States |
| Language: | English |
| Update Date: | 2010 Jul 26 |
Full Text
? K
View Full Text
Cite
Select a citation type to copy/paste or download the reference.
