Crossmaps: Visualization of overlapping relationships in collections of journal papers Export

@article{morris04crossmaps, abstract = {10.1073/pnas.0307604100 A crossmapping technique is introduced for visualizing multiple and overlapping relations among entity types in collections of journal articles. Groups of entities from two entity types are crossplotted to show correspondence of relations. For example, author collaboration groups are plotted on the axis against groups of papers (research fronts) on the axis. At the intersection of each pair of author group/research front pairs a circular symbol is plotted whose size is proportional to the number of times that authors in the group appear as authors in papers in the research front. Entity groups are found by agglomerative hierarchical clustering using conventional similarity measures. Crossmaps comprise a simple technique that is particularly suited to showing overlap in relations among entity groups. Particularly useful crossmaps are: research fronts against base reference clusters, research fronts against author collaboration groups, and research fronts against term co-occurrence clusters. When exploring the knowledge domain of a collection of journal papers, it is useful to have several crossmaps of different entity pairs, complemented by research front timelines and base reference cluster timelines.}, address = {Electrical and Computer Engineering, Oklahoma State University, 202 Engineering South, Stillwater, OK 74078, USA. samorri@okstate.edu}, author = {Morris, Steven A. and Yen, Gary G.}, citeulike-article-id = {1119448}, citeulike-linkout-0 = {http://dx.doi.org/10.1073/pnas.0307604100}, citeulike-linkout-1 = {http://www.pnas.org/content/101/suppl.1/5291.abstract}, citeulike-linkout-2 = {http://www.pnas.org/content/101/suppl.1/5291.full.pdf}, citeulike-linkout-3 = {http://www.pnas.org/cgi/content/abstract/101/suppl_1/5291}, citeulike-linkout-4 = {http://view.ncbi.nlm.nih.gov/pubmed/14762168}, citeulike-linkout-5 = {http://www.hubmed.org/display.cgi?uids=14762168}, day = {6}, doi = {10.1073/pnas.0307604100}, issn = {0027-8424}, journal = {Proceedings of the National Academy of Sciences of the United States of America}, keywords = {bipartite, crossmap, ontology, visualization}, month = {April}, number = {Suppl 1}, pages = {5291--5296}, posted-at = {2009-07-02 16:02:24}, priority = {0}, title = {Crossmaps: Visualization of overlapping relationships in collections of journal papers}, url = {http://dx.doi.org/10.1073/pnas.0307604100}, volume = {101}, year = {2004} }

TY - JOUR ID - morris04crossmaps L3 - citeulike-article-id:1119448 N2 - 10.1073/pnas.0307604100 A crossmapping technique is introduced for visualizing multiple and overlapping relations among entity types in collections of journal articles. Groups of entities from two entity types are crossplotted to show correspondence of relations. For example, author collaboration groups are plotted on the axis against groups of papers (research fronts) on the axis. At the intersection of each pair of author group/research front pairs a circular symbol is plotted whose size is proportional to the number of times that authors in the group appear as authors in papers in the research front. Entity groups are found by agglomerative hierarchical clustering using conventional similarity measures. Crossmaps comprise a simple technique that is particularly suited to showing overlap in relations among entity groups. Particularly useful crossmaps are: research fronts against base reference clusters, research fronts against author collaboration groups, and research fronts against term co-occurrence clusters. When exploring the knowledge domain of a collection of journal papers, it is useful to have several crossmaps of different entity pairs, complemented by research front timelines and base reference cluster timelines. IS - Suppl 1 JF - Proceedings of the National Academy of Sciences of the United States of America SN - 0027-8424 AD - Electrical and Computer Engineering, Oklahoma State University, 202 Engineering South, Stillwater, OK 74078, USA. samorri@okstate.edu EP - 5296 TI - Crossmaps: Visualization of overlapping relationships in collections of journal papers VL - 101 SP - 5291 KW - bipartite KW - crossmap KW - ontology KW - visualization AU - Morris, Steven AU - Yen, Gary PY - 2004/04/06/ UR - http://dx.doi.org/10.1073/pnas.0307604100 ER -