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NodeTrix: a Hybrid Visualization of Social Networks
November/December 2007 (vol. 13 no. 6)
pp. 1302-1309
ASCII Text
x 
 
Nathalie Henry, Jean-Daniel Fekete, Michael J. McGuffin, "NodeTrix: a Hybrid Visualization of Social Networks," IEEE Transactions on Visualization and Computer Graphics, vol. 13, no. 6, pp. 1302-1309, November/December, 2007.
 
 
BibTex
x
 
@article{ 10.1109/TVCG.2007.70582,
author = {Nathalie Henry and Jean-Daniel Fekete and Michael J. McGuffin},
title = {NodeTrix: a Hybrid Visualization of Social Networks},
journal ={IEEE Transactions on Visualization and Computer Graphics},
volume = {13},
number = {6},
issn = {1077-2626},
year = {2007},
pages = {1302-1309},
doi = {http://doi.ieeecomputersociety.org/10.1109/TVCG.2007.70582},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - JOUR
JO - IEEE Transactions on Visualization and Computer Graphics
TI - NodeTrix: a Hybrid Visualization of Social Networks
IS - 6
SN - 1077-2626
SP1302
EP1309
EPD - 1302-1309
A1 - Nathalie Henry,
A1 - Jean-Daniel Fekete,
A1 - Michael J. McGuffin,
PY - 2007
KW - Network visualization
KW - Matrix visualization
KW - Hybrid visualization
KW - Aggregation
KW - Interaction.
VL - 13
JA - IEEE Transactions on Visualization and Computer Graphics
ER -
 
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.

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Index Terms:
Network visualization, Matrix visualization, Hybrid visualization, Aggregation, Interaction.
Citation:
Nathalie Henry, Jean-Daniel Fekete, Michael J. McGuffin, "NodeTrix: a Hybrid Visualization of Social Networks," IEEE Transactions on Visualization and Computer Graphics, vol. 13, no. 6, pp. 1302-1309, Nov.-Dec. 2007, doi:10.1109/TVCG.2007.70582
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