Clickstream Data Yields High-Resolution Maps of Science Export

@article{citeulike:4163618, 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 advantages of log datasets over citation data, we investigate whether they can produce high-resolution, more current maps of science.}, author = {Bollen, Johan and Van de Sompel, Herbert and Hagberg, Aric and Bettencourt, Luis and Chute, Ryan and Rodriguez, Marko A. and Balakireva, Lyudmila}, citeulike-article-id = {4163618}, citeulike-linkout-0 = {http://dx.doi.org/10.1371/journal.pone.0004803}, citeulike-linkout-1 = {http://view.ncbi.nlm.nih.gov/pubmed/19277205}, citeulike-linkout-2 = {http://www.hubmed.org/display.cgi?uids=19277205}, doi = {10.1371/journal.pone.0004803}, issn = {1932-6203}, journal = {PLoS ONE}, keywords = {classification, clustering, digital\_libraries, visualization}, month = {March}, number = {3}, pages = {e4803+}, posted-at = {2009-04-30 21:14:04}, priority = {4}, publisher = {Public Library of Science}, title = {Clickstream Data Yields High-Resolution Maps of Science}, url = {http://dx.doi.org/10.1371/journal.pone.0004803}, volume = {4}, year = {2009} }

TY - JOUR ID - citeulike:4163618 L3 - citeulike-article-id:4163618 N2 - 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 advantages of log datasets over citation data, we investigate whether they can produce high-resolution, more current maps of science. IS - 3 JF - PLoS ONE SN - 1932-6203 TI - Clickstream Data Yields High-Resolution Maps of Science PB - Public Library of Science VL - 4 SP - e4803 KW - classification KW - clustering KW - digital_libraries KW - visualization AU - Bollen, Johan AU - Van de Sompel, Herbert AU - Hagberg, Aric AU - Bettencourt, Luis AU - Chute, Ryan AU - Rodriguez, Marko AU - Balakireva, Lyudmila PY - 2009/03/11/ UR - http://dx.doi.org/10.1371/journal.pone.0004803 ER -