Cited by 11,675Data Visualization and AnalyticsComplex Network Analysis TechniquesGraph Theory and Algorithms

Gephi: An Open Source Software for Exploring and Manipulating Networks

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Bastian, Mathieu, Heymann, Sebastien, Jacomy, Mathieu·2009·Proceedings of the International AAAI Conference on Web and Social Media

Abstract

Gephi is an open source software for graph and network analysis. It uses a 3D render engine to display large networks in real-time and to speed up the exploration. A flexible and multi-task architecture brings new possibilities to work with complex data sets and produce valuable visual results. We present several key features of Gephi in the context of interactive exploration and interpretation of networks. It provides easy and broad access to network data and allows for spatializing, filtering, navigating, manipulating and clustering. Finally, by presenting dynamic features of Gephi, we highlight key aspects of dynamic network visualization.

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Crossref · 10.1609/icwsm.v3i1.13937

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  • Gephi processes large networks with complex datasets in real time and produces visual results that are valuable to explore and interpret networks.

    “Gephi processes large networks with complex datasets in real time and produces visual results that are valuable to explore and interpret networks.”
  • The Nannieshui stone blocks had been stacked up in diminishing size to form multilevel pagodas upon commissioning.

    “Previous studies have found that these blocks had been stacked up in diminishing size to look like pagodas, the quintessential symbol and architecture of Buddhism. 1”

    From Connecting the Sacred: Network Analysis of Buddhist Images on Early Medieval Chinese Pagodas from Nannieshui, Shanxi (2023) · cites this paper as [1]

    The paper’s Abstract and Future work sections discuss Gephi software and network visualization, not Nannieshui stone blocks or pagodas. Searches for Nannieshui blocks and Buddhist pagodas found no passage addressing how the blocks were stacked upon commissioning; the copy supplies no contrary account either. (LLM, conf=0.78)

    Experimental — accuracy not yet measured
  • Force Atlas 2 results in a layout that gathers stone blocks sharing similar pictorial programs of images.

    “Force Atlas 2 results in a layout that gathers stone blocks, sharing similar pictorial programs of images.”

    From Connecting the Sacred: Network Analysis of Buddhist Images on Early Medieval Chinese Pagodas from Nannieshui, Shanxi (2023) · cites this paper as Bastian et al. 2009

    The Abstract describes Gephi’s Force Atlas layout algorithm, but not Force Atlas 2 or a layout of stone blocks. Searches for Force Atlas 2, stone blocks, and pictorial-program grouping found no passage addressing the claimed result. (LLM, conf=0.76)

    Experimental — accuracy not yet measured

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References 6 · Cited by 11,675

Research works printed but not linked: 4

  1. Adar, E. 2006. Guess: a language and interface for graph exploration. In CHI '06: Proceedings of the SIGCHI con- ference on Human Factors in computing systems, 791-800.
  2. Moody, McFarland, B.-d. 2005. Dynamic network visual- ization. American Journal of Sociology 110(4):1206-1241.
  3. Perer, S. 2006. Balancing systematic and flexible ex- ploration of social networks. Visualization and Computer Graphics, IEEE Transactions on 12(5):693-700.
  4. Watts, S. 1998. Collective dynamics of 'small-world' net- works. Nature 393(6684):440-442.

Authors
Bastian, M., Heymann, S., & Jacomy, M.
Affiliations
ParisTech (FR)
Venue
Proceedings of the International AAAI Conference on Web and Social Media
Published
2009-03-19
Volume
3
Issue
1
Pages
361-362
ISSN
  • 2162-3449 (ISSN-L)
  • 2334-0770
OpenAlex
W2125910575
Cited by
11,675
References
6
Citations by year
2026: 768 · 2025: 1114 · 2024: 1217 · 2023: 1213 · 2022: 1153 · 2021: 1216 · 2020: 1059 · 2019: 792 · 2018: 739 · 2017: 559 · 2016: 501 · 2015: 465 · 2014: 409 · 2013: 277 · 2012: 119
FWCI
51.18
Type
conference paper
Language
en
Open access
Locations
  • Proceedings of the International AAAI Conference on Web and Social Media (publishedVersion)
  • AAAI Publications (The Association for the Advancement of Artificial Intelligence (AAAI)) (submittedVersion)
Topics
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Data Visualization and Analytics
  • Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Complex Network Analysis Techniques
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Graph Theory and Algorithms
Keywords
Gephi, network visualization, graph analysis, dynamic network visualization, 3D rendering, network clustering, network filtering, open source software

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