Document Detail


NodeTrix: a hybrid visualization of social networks.
MedLine Citation:
PMID:  17968078     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
The need to visualize large social networks is growing as hardware capabilities make analyzing large networks feasible and many new data sets become available. Unfortunately, the visualizations in existing systems do not satisfactorily resolve the basic dilemma of being readable both for the global structure of the network and also for detailed analysis of local communities. To address this problem, we present NodeTrix, a hybrid representation for networks that combines the advantages of two traditional representations: node-link diagrams are used to show the global structure of a network, while arbitrary portions of the network can be shown as adjacency matrices to better support the analysis of communities. A key contribution is a set of interaction techniques. These allow analysts to create a NodeTrix visualization by dragging selections to and from node-link and matrix forms, and to flexibly manipulate the NodeTrix representation to explore the dataset and create meaningful summary visualizations of their findings. Finally, we present a case study applying NodeTrix to the analysis of the InfoVis 2004 coauthorship dataset to illustrate the capabilities of NodeTrix as both an exploration tool and an effective means of communicating results.
Authors:
Nathalie Henry; Jean-Daniel Fekete; Michael J McGuffin
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  IEEE transactions on visualization and computer graphics     Volume:  13     ISSN:  1077-2626     ISO Abbreviation:  IEEE Trans Vis Comput Graph     Publication Date:    2007 Nov-Dec
Date Detail:
Created Date:  2007-10-30     Completed Date:  2007-12-14     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9891704     Medline TA:  IEEE Trans Vis Comput Graph     Country:  United States    
Other Details:
Languages:  eng     Pagination:  1302-9     Citation Subset:  IM    
Affiliation:
INRIA Futurs/University Paris-Sud, France. nathalie.henry@lri.fr
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MeSH Terms
Descriptor/Qualifier:
Algorithms*
Computer Graphics*
Computer Simulation
Models, Theoretical*
Social Support*
User-Computer Interface*

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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