Conference proceeding
Measuring the quality of network visualization
Proceedings of the 5th ACM/IEEE-CS joint conference on digital libraries, pp 405-405
07 Jun 2005
Abstract
A quantitative method is developed for measuring the quality of network visualizations in terms of log-likelihood metrics resulted from Expectation Maximization (EM) clustering intrinsic and extrinsic attributes of network nodes.
Metrics
Details
- Title
- Measuring the quality of network visualization
- Creators
- Chaomei Chen
- Publication Details
- Proceedings of the 5th ACM/IEEE-CS joint conference on digital libraries, pp 405-405
- Conference
- 5th ACM/IEEE-CS joint conference on digital libraries, 5th
- Series
- JCDL '05
- Publisher
- Association for Computing Machinery (ACM)
- Number of pages
- 1
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Information Science
- Web of Science ID
- WOS:000230429800103
- Scopus ID
- 2-s2.0-27544432075
- Other Identifier
- 991014877667404721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Computer Science, Information Systems
- Computer Science, Interdisciplinary Applications
- Information Science & Library Science