Measuring the quality of network visualization

Chaomei Chen

Measuring the quality of network visualization

Chaomei Chen

Department of Library and Information Science

Research output: Contribution to journal › Conference article

3 Citations (Scopus)

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.

Original language	English
Number of pages	1
Journal	Proceedings of the ACM/IEEE Joint Conference on Digital Libraries
Publication status	Published - 2005 Nov 10
Event	5th ACM/IEEE Joint Conference on Digital Libraries - Digital Libraries: Cyberinfrastructure for Research and Education - Denver, CO, United States Duration: 2005 Jun 7 → 2005 Jun 11

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All Science Journal Classification (ASJC) codes

Engineering(all)

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Chen, C. (2005). Measuring the quality of network visualization. Proceedings of the ACM/IEEE Joint Conference on Digital Libraries.

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title = "Measuring the quality of network visualization",

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.",

author = "Chaomei Chen",

year = "2005",

month = nov,

day = "10",

language = "English",

journal = "Proceedings of the ACM/IEEE Joint Conference on Digital Libraries",

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note = "5th ACM/IEEE Joint Conference on Digital Libraries - Digital Libraries: Cyberinfrastructure for Research and Education ; Conference date: 07-06-2005 Through 11-06-2005",

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JO - Proceedings of the ACM/IEEE Joint Conference on Digital Libraries

JF - Proceedings of the ACM/IEEE Joint Conference on Digital Libraries

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T2 - 5th ACM/IEEE Joint Conference on Digital Libraries - Digital Libraries: Cyberinfrastructure for Research and Education

Y2 - 7 June 2005 through 11 June 2005

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Measuring the quality of network visualization

Abstract

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All Science Journal Classification (ASJC) codes

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