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Methodology & Objectives


InfraNodus is built on a specific approach to thinking and knowledge representation. These pages describe the methodology and objectives behind the tool — how it represents any text as a network, the network science it relies on, and the cognitive principles it is designed to support.


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In this section

How InfraNodus Works

How InfraNodus turns text into a knowledge graph and surfaces topics, gaps, and structure.

Ecological Thinking

Thinking in terms of relations, flows, and dynamics rather than isolated parts.

Cognitive Variability

Adaptivity and diversity in thinking — shifting between scales and modes of attention.

Cognitive Diversity

Measure and reduce bias by modulating the network structure of your thought.

Research Framework

The network science and graph theory algorithms that underpin InfraNodus' analysis.

Cross-Contextual Confluence

Higher-order thinking through bridging the structural gaps between knowledge domains.

InfraNodus

InfraNodus is a text network visualization tool that can be used to build graphs and represent any text as a network. It's been developed by Nodus Labs since 2018 (since 2011 if we take into account the research and prototype stages) and has been used in many research institutions and enterprises worldwide.

InfraNodus runs on NestJs Node.Js framework, Prisma, PostgreSQL, and Sigma.Js graph visualization library, uses Textexture text network analysis algorithm as well as Cytoscape, Graphology and other libraries. Without the open-source community and StackOverflow our product would be impossible. That's why we offer a range of open source tools that underpin InfraNodus for public use under AGPL licenses.

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