Sphere anchored map: A visualization technique for bipartite graphs in 3d

Takao Ito, Kazuo Misue, Jiro Tanaka

研究成果: Conference contribution

9 引用 (Scopus)

抜粋

Circular anchored maps have been proposed as a drawing technique to acquire knowledge from bipartite graphs, where nodes in one set are arranged on a circumference. However, the readability decreases when large-scale graphs are drawn. To maintain the readability in drawing large-scale graphs, we developed "sphere anchored maps," in which nodes in one set are arranged on a sphere. We describe the layout method for sphere anchored maps and the results of our user study. The results of our study revealed that more clusters of free nodes can be found using sphere anchored maps than using circular anchored maps. Thus, our maps have high readability, particularly around anchors.

元の言語English
ホスト出版物のタイトルHuman-Computer Interaction
ホスト出版物のサブタイトルNovel Interaction Methods and Techniques - 13th International Conference, HCI International 2009, Proceedings
ページ811-820
ページ数10
エディションPART 2
DOI
出版物ステータスPublished - 2009 10 28
イベント13th International Conference on Human-Computer Interaction, HCI International 2009 - San Diego, CA, United States
継続期間: 2009 7 192009 7 24

出版物シリーズ

名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
番号PART 2
5611 LNCS
ISSN(印刷物)0302-9743
ISSN(電子版)1611-3349

Conference

Conference13th International Conference on Human-Computer Interaction, HCI International 2009
United States
San Diego, CA
期間09/7/1909/7/24

    フィンガープリント

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

これを引用

Ito, T., Misue, K., & Tanaka, J. (2009). Sphere anchored map: A visualization technique for bipartite graphs in 3d. : Human-Computer Interaction: Novel Interaction Methods and Techniques - 13th International Conference, HCI International 2009, Proceedings (PART 2 版, pp. 811-820). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 巻数 5611 LNCS, 番号 PART 2). https://doi.org/10.1007/978-3-642-02577-8_89