Gephi Alternative for Network Analysis and Visualization: InfraNodus – Nodus Labs Support Center

Gephi stands as a robust network visualization platform widely utilized for network creation and analysis. Yet, users often encounter challenges with its configuration complexity, restricted import capabilities, and the considerable effort required to fine-tune settings before extracting meaningful insights.

InfraNodus presents itself as a viable Gephi alternative and a powerful network visualization tool. This ready-to-use solution enables users to upload existing network graphs or incorporate external information from diverse sources, delivering analytical results within moments through advanced network analysis methodologies.

The visualizations created with InfraNodus offer complete interactivity, enabling network exploration, experimental node removal to observe systemic effects, and the ability to distribute findings digitally or through publication-quality SVG vector graphics.

Looking for a Gephi alternative? Try InfraNodus!

Feature	InfraNodus	Gephi
Graph Data Import/Export	CSV, GEXF, GraphML, Plain Text, [[Wiki Links]], TXT, PDF, Markdown, X, Google, YouTube	CSV, GEXF, GraphML, Pajek
Text Network Analysis	Native text-to-network, topic modeling	Not native (requires plugins)
Instant Network Statistics	Preset templates for community detection, layout, and node rankings	Requires manual setup
Structural Gap Analysis	Yes, native and automatic	No
Network Structure Optimization	Yes, native and automatic	No
Network Statistics Recalculation after Node / Cluster Deletion	Automatic, real-time	Requires manual recalculation
Cloud/Web-based Access	100% web-based	Only through Gephi lite
Mobile Access	Supported	Not supported
Real-time Graph Updates	Live updates, collaborative	Static after import
Community Detection	Louvain community detection, Force-atlas layout	Multiple algorithms
Centrality Measures	Betweenness Centrality (default), Degree, Closeness and Eigenvector (in the Stats table)	Degree, Betweenness, Closeness, Eigenvector, etc
Layout Algorithms	Force Atlas, Circular layouts	ForceAtlas2, Yifan Hu, Fruchterman-Reingold, more
Maximum Number of Nodes	up to 500	in the thousands
Custom Node/Edge Attributes	Custom attributes recorded via statement tags	Extensive attribute support
API Access	API web endpoints to graph insights	Requires complex scripting in Java
Plugins/Extensions	Make.Com, n8n, RapidAPI Integrations	Large plugin ecosystem
High-Resolution Image Export	SVG, PNG	SVG, PNG
AI Functionality	Native, GPT-4o integrated	None (requires plugins)

Gephi vs InfraNodus: Step-by-Step Comparison

To evaluate these platforms comparatively, we'll examine the Diseasome dataset containing disease relationships based on shared genetic mutations. By importing this Gexf file into both systems, we can assess the analytical capabilities and interaction possibilities each offers for exploring the underlying network relationships.

Gephi: Great for an Overview

The web-accessible version of Gephi (Gephi Lite) delivers most functionality found in its desktop counterpart.

Effective utilization requires several configuration steps:

1) implementing community detection algorithms,

2) applying cluster-based node coloring,

3) configuring betweenness centrality rankings, and

4) adjusting node size representation by degree.

While this preparation process demands time investment, it ultimately generates visualizations that effectively display disease clusters organized by their contextual significance.

Since Gephi features numerous customizable parameters, users familiar with network graph interpretation can extract valuable insights regarding both comprehensive network structures and specific node relationships.

InfraNodus takes a different approach by automatically generating analytical insights from the network structure.

InfraNodus: Get Insights from the Graph

When visualizing identical Gexf data in InfraNodus, the system automatically implements community detection, applies cluster-based node coloring, and configures betweenness centrality rankings. This immediate processing helps users quickly identify potential disease correlations.

The analytical presentation in InfraNodus offers enhanced detail accessibility. Users can efficiently view tabular representations showing cluster memberships and influential node rankings.

The cognitive and temporal resources preserved during initial visualization setup with InfraNodus become available for deeper network exploration. The platform offers several specialized analytical capabilities unavailable in standard Gephi installations.

Identifying the Gaps between Network Clusters

Users can access the Structural Gaps tab within the Analytics panel to identify structural network gaps. These connection deficiencies often represent high-potential areas for generating novel insights by highlighting specific network aspects.

Automatic Discovery of High-Influence, Low Degree Nodes

Such nodes are very effective brokers within the network. They don't have too many connections but are well embedded into all the different clusters in the network. InfraNodus automatically identifies those and you can use the built-in AI to develop the structure further.

Interactive Graph Exploration: Node Removal and Traversal

InfraNodus enables immediate metric recalculation following node removal, helping reveal underlying clusters and relationships that might remain obscured in general overviews.

Using AI to Get Insights from the Graph

The integrated AI functionality allows users to query the knowledge graph through the GraphRAG system, facilitating detailed cluster exploration and insight generation.
For example, selecting two specific diseases activates the system's knowledge base (powered by large language models) to identify potential connections between them.

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To try InfraNodus, please, create an account on www.infranodus.com