TL;DR
Gephi Lite is the browser version of Gephi, the renowned network visualization tool. Without any installation, you can load GEXF files and perform ForceAtlas2 layout, community detection, and various statistical calculations. It is ideal for network analysis commonly encountered in DH research — personal relationships, citation networks, co-occurrence networks, and more.
What is Gephi Lite?
Gephi is an open-source network visualization and analysis software released in 2008, often called the “Photoshop of networks” due to its widespread adoption. Gephi Lite is its browser-based version, enabling network analysis without installing a desktop application.
Key features include:
- Browser-based: Uses WebGL for smooth rendering of large-scale networks
- ForceAtlas2 layout: Gephi’s signature layout algorithm available in the browser
- Community detection: Automatic cluster identification using the Louvain method
- Statistical measures: Calculates degree centrality, betweenness centrality, PageRank, and other network metrics
- GEXF support: Full read/write support for Gephi’s native GEXF format
How to Use
1. Prepare Your Data
Prepare network data in GEXF format. GEXF is an XML-based graph description format containing node and edge information. It can also be generated programmatically using Python’s networkx library.
<?xml version="1.0" encoding="UTF-8"?>
<gexf xmlns="http://gexf.net/1.3">
<graph defaultedgetype="undirected">
<nodes>
<node id="1" label="Person A"/>
<node id="2" label="Person B"/>
</nodes>
<edges>
<edge source="1" target="2" weight="3"/>
</edges>
</graph>
</gexf>
2. Load the File
Visit Gephi Lite and upload your GEXF file. Once loaded, the network will be displayed on screen.
3. Apply Layout
Running ForceAtlas2 automatically optimizes the layout based on attraction and repulsion forces between nodes. Closely related nodes are positioned near each other, making the network structure visually clear.
4. Analyze and Visualize
- Node size: Adjust based on degree or PageRank to highlight important nodes
- Node color: Color-code by community detection results to reveal cluster structure
- Filtering: Filter by degree or weight to display only significant relationships
Practical Applications in DH Research
Epistolary Network Analysis
Construct networks from historical correspondence data, with senders and recipients as nodes and letters as edges. Identifying nodes with high centrality reveals individuals who served as hubs of intellectual exchange.
Citation Network Analysis
Visualize academic paper citation relationships as networks to identify field structures and influential papers. Community detection can reveal boundaries between research subfields.
Co-occurrence Network Analysis
Represent co-occurrence relationships extracted from text data as networks to analyze conceptual relationships. Co-occurrence data generated by tools like Voyant Tools can be converted to GEXF format for import.
Geographic Networks
Represent trade routes and migration paths using place name nodes and route edges to analyze the structure of historical transportation and logistics networks.
Comparison with Desktop Gephi
| Feature | Gephi Lite | Gephi (Desktop) |
|---|---|---|
| Installation | None required | Java environment needed |
| Large networks | Up to medium scale | Large-scale capable |
| Plugins | None | Extensive |
| Layouts | ForceAtlas2 | Multiple options |
| Export | GEXF, PNG | GEXF, PDF, SVG, etc. |
| Sharing | Via URL | File sharing |
Gephi Lite excels in convenience and ease of sharing, but for networks exceeding one million nodes or when advanced plugin features are needed, the desktop version is more suitable.
Conclusion
Gephi Lite significantly lowers the barrier to network analysis. With just a browser, you can perform serious analysis including ForceAtlas2 layout and community detection. It is ideal for exploratory analysis of various networks in DH research — personal relationships, citations, co-occurrences, and more.