PLoS ONE· 2014Q1
ForceAtlas2, a Continuous Graph Layout Algorithm for Handy Network Visualization Designed for the Gephi Software
- 2,968citations
- Q1SCImago
- 2014year
Short summary
ForceAtlas2 is a new default layout algorithm for the Gephi network visualization software, designed as an all-around solution for typical user networks.
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Key points
- ForceAtlas2 is the default layout algorithm for Gephi, a popular network visualization tool.
- It integrates multiple techniques, including Barnes Hut simulation and adaptive temperatures.
- The algorithm is designed for a continuous user experience and handles networks from 10 to 10,000 nodes.
- A benchmark is provided to evaluate its performance and quality trade-offs.
AI-generated from the title and abstract; the full text is not read.
Abstract
Gephi is a network visualization software used in various disciplines (social network analysis, biology, genomics...). One of its key features is the ability to display the spatialization process, aiming at transforming the network into a map, and ForceAtlas2 is its default layout algorithm. The latter is developed by the Gephi team as an all-around solution to Gephi users' typical networks (scale-free, 10 to 10,000 nodes). We present here for the first time its functioning and settings. ForceAtlas2 is a force-directed layout close to other algorithms used for network spatialization. We do not claim a theoretical advance but an attempt to integrate different techniques such as the Barnes Hut simulation, degree-dependent repulsive force, and local and global adaptive temperatures. It is designed for the Gephi user experience (it is a continuous algorithm), and we explain which constraints it implies. The algorithm benefits from much feedback and is developed in order to provide many possibilities through its settings. We lay out its complete functioning for the users who need a precise understanding of its behaviour, from the formulas to graphic illustration of the result. We propose a benchmark for our compromise between performance and quality. We also explain why we integrated its various features and discuss our design choices.
The authors' abstract, as published at the source. PLoS ONE, 2014 · DOI ↗
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Field: Statistical and Nonlinear Physics
Statistical and Nonlinear PhysicsPhysics and Astronomy