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ForceAtlas2, a continuous graph layout algorithm for handy network visualization designed for the Gephi software.

Mathieu Jacomy1, Tommaso Venturini2, Sebastien Heymann3

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ForceAtlas2 is a network visualization algorithm in Gephi, optimizing graph layout. This paper details its functioning, settings, and performance for diverse network analysis applications.

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Area of Science:

  • Computer Science
  • Data Visualization
  • Network Analysis

Background:

  • Gephi is a popular network visualization software across disciplines like social network analysis, biology, and genomics.
  • Network spatialization transforms complex networks into interpretable maps, with ForceAtlas2 as Gephi's default layout algorithm.
  • ForceAtlas2 is designed for typical Gephi user networks, ranging from scale-free to 10,000 nodes.

Purpose of the Study:

  • To provide a comprehensive explanation of the ForceAtlas2 algorithm's functioning and settings.
  • To detail the integration of various techniques within ForceAtlas2 for improved network visualization.
  • To offer users a precise understanding of ForceAtlas2's behavior and design choices.

Main Methods:

  • ForceAtlas2 employs a force-directed layout approach, integrating Barnes Hut simulation.
  • It utilizes degree-dependent repulsive forces and adaptive temperatures (local and global) for spatialization.
  • The algorithm is designed as a continuous process optimized for the Gephi user experience.

Main Results:

  • The paper presents the complete functioning of ForceAtlas2, including underlying formulas and illustrative results.
  • A benchmark is proposed to evaluate the trade-off between performance and quality of the ForceAtlas2 layout.
  • The study details the rationale behind the integration of specific features and design decisions.

Conclusions:

  • ForceAtlas2 offers a versatile and configurable solution for network spatialization within Gephi.
  • Understanding its mechanics and settings empowers users to achieve optimal network visualization outcomes.
  • The algorithm represents an integration of established techniques tailored for practical network analysis challenges.