InfraNodus

What is InfraNodus?

InfraNodus is a text network visualization tool designed by Nodus Labs since 2018 (with roots back to 2011) to represent text as a network. It runs on the NestJs Node.Js framework, Prisma, PostgreSQL, and Sigma.Js for graph visualization. The tool uses various libraries and algorithms, including Textexture for text network analysis, Cytoscape, and Graphology. It aids in tasks like text mining, topic modeling, data analysis, and structural gap detection, enabling users to uncover patterns and insights within their data. InfraNodus helps identify recurring topics, key concepts, connections between information pieces, and offers support for statistical analyses and visualization tools.

In a unique approach, InfraNodus is designed to promote cognitive variability by modulating the thinking process, encouraging openness and coherence through balancing different states in the research process.

The tool works by representing text as a network, where words are nodes and their co-occurrences are connections. It identifies clusters of related words, influential elements, and discerns gaps in the discourse. Algorithms are then applied to generate insights and propose ways to bridge these structural gaps, facilitating the discovery of new ideas.

InfraNodus is suitable for personal and professional use, supporting tasks like text summarization, AI-augmented brainstorming, qualitative analysis, SEO, and market research. Real-life use cases include understanding text, creative thinking, content analysis, and finding gaps in informational demand and supply.

Who created InfraNodus?

Infranodus was created by Dmitry Paranyushkin. Dmitry Paranyushkin founded Nodus Labs, the company behind Infranodus, in 2011. Infranodus is a text network visualization tool designed to assist with tasks such as text mining, topic modeling, data analysis, and structural gap detection. The tool is developed to promote ecological dynamics and diversity on a cognitive level, representing ideas as a network to help users discover relations and patterns within the data.

What is InfraNodus used for?

• Data Analysis
• Text Mining
• Data Mining
• Topic modeling
• Structural gap detection
• Network analysis
• Visualization
• Pattern identification
• Insight discovery
• Understanding data
• Automated topic extraction
• Visualization of relationships between topics
• Statistical data analysis
• Visualization of data through graphs and charts
• Identification of gaps in networks or data sets
• Exploration and understanding of data through network analysis
• Automatically extracting topics and themes from text data
• Visualizing relationships between topics
• Identifying influential elements within content
• Statistical analysis of datasets
• Identifying gaps and missing links within networks or data sets
• Exploring, understanding, and making sense of data
• Overview & Summarization
• AI-Augmented Brainstorming
• Qualitative Analysis
• SEO & Market Research
• Text Overview & Summarization
• SEO and Market Research

Who is InfraNodus for?

• Researchers
• Marketers
• Content creators
• Writers
• Marketing professionals
• Corporations
• NGOs
• Associate research professors
• Information specialists
• E-learning specialists
• Financial services executives

How to use InfraNodus?

To use Infranodus, follow these steps:

1. Add Your Text or Data: Import or use the live editor to add your text, notes, or data from various sources like Gephi graphs, Evernote, Twitter feed, or Google search results snippets. Your text will be converted into a graph where words are nodes and connections show co-occurrences.

2. Get a Visual Overview: The network will be generated from the text added. Influential words are shown larger, and words that occur together are grouped into topical clusters with distinct colors. This visual summary tool provides an overview of main topics and relations between them.

3. Generate Insight: Infranodus will identify structural gaps in the network, where connections could be established but are missing (blind spots). It will offer suggestions on bridging these gaps to produce insights and generate new ideas. Export your data, along with InfraNodus insights, as a CSV file for further analysis or as training data for neural network applications.

By following these steps, you can leverage Infranodus for text network analysis and generating valuable insights effortlessly.