Evolving Graph Representation and Visualization
Anurat Chapanond, Mukkai S. Krishnamoorthy, G. M. Prabhu, J. Punin

TL;DR
This paper introduces EGML, an XML-based language for representing evolving graphs, along with visualization techniques that enable smooth transitions between graph states, facilitating the analysis of dynamic networks.
Contribution
It presents EGML and a software tool for representing and studying evolving graphs, along with new visualization methods based on force-directed layouts.
Findings
EGML effectively encodes evolving graph data.
New visualization techniques improve transition smoothness.
The approach aids in analyzing dynamic network evolution.
Abstract
The study of evolution of networks has received increased interest with the recent discovery that many real-world networks possess many things in common, in particular the manner of evolution of such networks. By adding a dimension of time to graph analysis, evolving graphs present opportunities and challenges to extract valuable information. This paper introduces the Evolving Graph Markup Language (EGML), an XML application for representing evolving graphs and related results. Along with EGML, a software tool is provided for the study of evolving graphs. New evolving graph drawing techniques based on the force-directed graph layout algorithm are also explored. Our evolving graph techniques reduce vertex movements between graph instances, so that an evolving graph can be viewed with smooth transitions
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsData Visualization and Analytics · Complex Network Analysis Techniques · Bioinformatics and Genomic Networks
