TY - GEN
T1 - Readable representations for large-scale bipartite graphs
AU - Sato, Shuji
AU - Misue, Kazuo
AU - Tanaka, Jiro
PY - 2008
Y1 - 2008
N2 - Bipartite graphs appear in various scenes in the real world, and visualizing these graphs helps improve our understanding of network structures. The amount of information that is available to us has increased dramatically in recent years, and it is therefore necessary to develop a drawing technique that corresponds to large-scale graphs. In this paper, we describe drawing methods to make large-scale bipartite graphs easy to read. We propose two techniques: "node contraction drawing," which involves collecting similar nodes and drawing them as one node, and "isosimilarity contour drawing," which puts clusters into an outlined area. We developed interactive user interfaces for the drawing methods and conducted an evaluation experiment to demonstrate the effectiveness of the proposed techniques.
AB - Bipartite graphs appear in various scenes in the real world, and visualizing these graphs helps improve our understanding of network structures. The amount of information that is available to us has increased dramatically in recent years, and it is therefore necessary to develop a drawing technique that corresponds to large-scale graphs. In this paper, we describe drawing methods to make large-scale bipartite graphs easy to read. We propose two techniques: "node contraction drawing," which involves collecting similar nodes and drawing them as one node, and "isosimilarity contour drawing," which puts clusters into an outlined area. We developed interactive user interfaces for the drawing methods and conducted an evaluation experiment to demonstrate the effectiveness of the proposed techniques.
KW - Anchored map
KW - Bipartite graph
KW - Clustering
KW - Graph drawing
KW - Information visualization
UR - http://www.scopus.com/inward/record.url?scp=57749170924&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=57749170924&partnerID=8YFLogxK
U2 - 10.1007/978-3-540-85565-1_103
DO - 10.1007/978-3-540-85565-1_103
M3 - Conference contribution
AN - SCOPUS:57749170924
SN - 3540855645
SN - 9783540855644
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 831
EP - 838
BT - Knowledge-Based Intelligent Information and Engineering Systems - 12th International Conference, KES 2008, Proceedings
PB - Springer Verlag
T2 - 12th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2008
Y2 - 3 September 2008 through 5 September 2008
ER -