Visual health subject directory analysis based on users' traversal activities Export

@article{citeulike:4934120, abstract = {Concerns about health issues cover a wide spectrum. Consumer health information, which has become more available on the Internet, plays an extremely important role in addressing these concerns. A subject directory as an information organization and browsing mechanism is widely used in consumer health-related Websites. In this study we employed the information visualization technique Self-Organizing Map (SOM) in combination with a new U-matrix algorithm to analyze health subject clusters through a Web transaction log. An experimental study was conducted to test the proposed methods. The findings show that the clusters identified from the same cells based on path-length-1 outperformed both the clusters from the adjacent cells based on path-length-1 and the clusters from the same cells based on path-length-2 in the visual SOM display. The U-matrix method successfully distinguished the irrelevant subjects situated in the adjacent cells with different colors in the SOM display. The findings of this study lead to a better understanding of the health-related subject relationship from the users' traversal perspective.}, address = {School of Information Studies, University of Wisconsin Milwaukee, Milwaukee, WI 53211; School of Information Management, Wuhan University, Wuhan, Hubei, 430072, P.R. China; Office of Clinical Informatics, Medical College of Wisconsin, Milwaukee, WI 53226}, author = {Zhang, Jin and An, Lu and Tang, Tao and Hong, Yi}, citeulike-article-id = {4934120}, citeulike-linkout-0 = {http://dx.doi.org/10.1002/asi.21153}, citeulike-linkout-1 = {http://www3.interscience.wiley.com/cgi-bin/abstract/122462824/ABSTRACT}, doi = {10.1002/asi.21153}, journal = {Journal of the American Society for Information Science and Technology}, keywords = {clustering, conceptual\_spaces, som, visualization}, number = {9999}, pages = {1--18}, posted-at = {2009-06-23 15:25:27}, priority = {2}, title = {Visual health subject directory analysis based on users' traversal activities}, url = {http://dx.doi.org/10.1002/asi.21153}, volume = {9999}, year = {2009} }

TY - JOUR ID - citeulike:4934120 L3 - citeulike-article-id:4934120 N2 - Concerns about health issues cover a wide spectrum. Consumer health information, which has become more available on the Internet, plays an extremely important role in addressing these concerns. A subject directory as an information organization and browsing mechanism is widely used in consumer health-related Websites. In this study we employed the information visualization technique Self-Organizing Map (SOM) in combination with a new U-matrix algorithm to analyze health subject clusters through a Web transaction log. An experimental study was conducted to test the proposed methods. The findings show that the clusters identified from the same cells based on path-length-1 outperformed both the clusters from the adjacent cells based on path-length-1 and the clusters from the same cells based on path-length-2 in the visual SOM display. The U-matrix method successfully distinguished the irrelevant subjects situated in the adjacent cells with different colors in the SOM display. The findings of this study lead to a better understanding of the health-related subject relationship from the users' traversal perspective. IS - 9999 JF - Journal of the American Society for Information Science and Technology AD - School of Information Studies, University of Wisconsin Milwaukee, Milwaukee, WI 53211; School of Information Management, Wuhan University, Wuhan, Hubei, 430072, P.R. China; Office of Clinical Informatics, Medical College of Wisconsin, Milwaukee, WI 53226 EP - 18 TI - Visual health subject directory analysis based on users' traversal activities VL - 9999 SP - 1 KW - clustering KW - conceptual_spaces KW - som KW - visualization AU - Zhang, Jin AU - An, Lu AU - Tang, Tao AU - Hong, Yi PY - 2009/// UR - http://dx.doi.org/10.1002/asi.21153 ER -