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A Practical Guide to Phylogenetics for Nonexperts
Published on: February 5, 2014
TreeNetViz: revealing patterns of networks over tree structures
Liang Gou1, Xiaolong Luke Zhang
1College of Information Sciences and Technology, the Pennsylvania State University, USA. lug129@ist.psu.edu
IEEE Transactions on Visualization and Computer Graphics
|October 29, 2011
Summary
We introduce TreeNet, a model for visualizing complex network data with tree structures. TreeNetViz offers multiscale analysis, revealing network patterns across different aggregation levels.
Area of Science:
- Computer Science
- Data Visualization
- Network Analysis
Background:
- Visualizing network data with inherent tree structures is challenging.
- Existing methods struggle to reveal patterns across multiple aggregation levels of such compound graphs.
Purpose of the Study:
- To propose a novel compound graph model, TreeNet, for visualizing and analyzing networks with tree attributes.
- To present TreeNetViz, a visualization design for multiscale and cross-scale exploration of TreeNet graphs.
Main Methods:
- Developed the TreeNet compound graph model.
- Designed TreeNetViz utilizing Radial, Space-Filling (RSF) for tree structures.
- Implemented an optimized circle layout for aggregated networks and edge bundling.
- The layout algorithm optimizes edge crossings, length, hierarchy, and weight.
Main Results:
- TreeNetViz effectively represents compound graphs with tree and network structures.
- The optimized circular layout significantly reduces visual clutter and edge complexity.
- Experiments demonstrate reduced edge crossings and lengths in TreeNet graphs.
Conclusions:
- TreeNet and TreeNetViz provide a robust framework for analyzing complex network data.
- The system facilitates the discovery of multiscale and cross-scale network patterns.
- This approach enhances understanding of hierarchical network structures and their associated attributes.
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