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well-formed.eigenfactor: visualizing information flow in science

Published: 03 August 2009 Publication History

Abstract

well-formed.eigenfactor presents interactive visualizations to explore emerging patterns in scientific citation networks. The Eigenfactor project calculates a measure of importance for individual journals (the Eigenfactor score), measures citation flow, and creates a hierarchical clustering. Moritz Stefaner turns this information into a set of four information-aesthetic visualizations, each highlighting different aspects of the data.

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cover image ACM Conferences
SIGGRAPH '09: ACM SIGGRAPH 2009 Art Gallery
August 2009
137 pages
ISBN:9781450379403
DOI:10.1145/1667265
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

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Published: 03 August 2009

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SIGGRAPH09
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Overall Acceptance Rate 1,822 of 8,601 submissions, 21%

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Reflects downloads up to 17 Jan 2025

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