Measuring the quality of network visualization

Chaomei Chen

doi:10.1145/1065385.1065509

Measuring the quality of network visualization

Chaomei Chen

Department of Library and Information Science

Research output: Contribution to journal › Conference article › peer-review

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
Pages (from-to)	405
Number of pages	1
Journal	Proceedings of the ACM/IEEE Joint Conference on Digital Libraries
DOIs	https://doi.org/10.1145/1065385.1065509
Publication status	Published - 2005
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

All Science Journal Classification (ASJC) codes

Engineering(all)

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10.1145/1065385.1065509

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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",

doi = "10.1145/1065385.1065509",

language = "English",

pages = "405",

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

issn = "1552-5996",

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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Y2 - 7 June 2005 through 11 June 2005

ER -

Measuring the quality of network visualization

Abstract

All Science Journal Classification (ASJC) codes

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