Huang, W, “Larger crossing angles make network visualizations easier to read”, World Academy of Science, Engineering and Technology Conference 2016 program, 15-16 December, Sydney (2016) [Keynote Presentation] |
Data Type | Value |
Type of Research | Applied Research |
Research Division | Information and Computing Sciences |
Research Group | Library and information studies |
Research Field | Human information interaction and retrieval |
Research Objective Division | Expanding Knowledge |
Research Objective Group | Expanding knowledge |
Research Objective Field | Expanding knowledge in the information and computing sciences |
Visit Item on eCite | http://ecite.utas.edu.au/112926 |
Web of Science® Related URL | View the list of related articles on Web of Science® |