Difference between revisions of "Data Visualization"

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(Visual Thesaurus)
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Interactive visualizations based on the Eigenfactor™ Metrics and hierarchical clustering to explore emerging patterns in citation networks.  A cooperation between the Eigenfactor Project (data analysis) and Moritz Stefaner (visualization).
 
Interactive visualizations based on the Eigenfactor™ Metrics and hierarchical clustering to explore emerging patterns in citation networks.  A cooperation between the Eigenfactor Project (data analysis) and Moritz Stefaner (visualization).
  
Visualization is dynamic, and generated with '''Flare''' (prefuse's successor).
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The visualization is dynamic, and generated with '''Flare''' (prefuse's successor).  
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<blockquote> The map visualization puts journals, which frequently cite each other, closer together. You can drag the white magnification lens around to enlarge a part of the map for closer inspection. Clicking one of the nodes will highlight all its connections. If a journal is selected, the node sizes represent the relative amount of citation flow (incoming and outgoing) with respect to the selection; otherwise, they are scaled by their Eigenfactor™ Score. Map calculated with Cytoscape, visualization built with flare
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We use a subset of the citation data from Thomson Reuters' Journal Citation Reports 1997–2005. The complete data aggregate, at the journal level, approximately 60,000,000 citations from more than 7000 journals over the past decade. For an interesting subset, we select journals ordered by their Article Influence™ in 2005, but include no more than 25 journals from a single field. To make the subset coherent, we make sure that selected journals are included all years and that we cover the 10 journals with highest Eigenfactor™ score. To cluster the networks, we use the information-theoretic method presented in Maps of information flow reveal community structure in complex networks (PNAS 105, 1118 (2008)), which can reveal regularities of information flow across directed and weighted networks.
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</blockquote>
  
 
==Visual Thesaurus==
 
==Visual Thesaurus==

Revision as of 10:59, 7 October 2009

Introduction

This page is an ad-hoc collection of interesting (for me) examples of visualization of data. They are taken from the Web, from the scientific literature, and from newspapers (The New York Times in particular).

The collection of posts is organized from the most recent (at the top) to the oldest (at the bottom).
Additions are continuously made, documenting interesting discoveries regarding visual displays of information.
While this page is not available for anonymous edits, feel free to send comments, suggestions and/or discoveries to thiebaut@cs.smith.edu.



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