InfraNodus Text Network Visualization App
1. Get an Overview of Any Text
Analyze ideas, articles, books, Google search results, surveys, tweets, spreadsheets.
2. Discover the Gaps in Ideas
Reveal the most important connections and gaps between them using a text network.
3. Generate Insight using AI
Use built-in GPT AI model to bridge those gaps and enrich your perspective.
Multiple Import Sources
Use a live editor and import data from anywhere.
Text Mining & Sentiment
Includes the key text analytics insights.
Interactive Text Visualization
Harness the power of visual thinking.
GPT AI-Enhanced Workflow
AI that thinks with you, not for you.
Multilingual
Supports multiple languages.
Fully Shareable
Share online, embed, or export hi-res images.
Private by Default
Your data is private and stored in EU.
Multifunctional
From personal ideation to marketing.
InfraNodus Workflow
You can use our text editor, upload your files, or import data from multiple sources.
Text to network graph visualization
Graph nework visualization of news
Network Graph of the Tweets on Coronavirus
Graph visualization of the most popular tweets
Google graph visualization coronavirus
Graph visualization of Google Search results
Martin Luther King I have a dream text network visualization
How Does InfraNodus Work?
InfraNodus represents any text as a network. To use a metaphor from social sciences: the words are the nodes, their co-occurrences are the connections. Based on this representation, we can detect clusters of words that belong together, identify the most influential elements, reveal the gaps in a discourse.
We then apply various AI-based algorithms to generate insight for any discourse. Below is how it works in more detail, including a link to a peer-reviewed paper that details our approach:
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1. Add Any Text or Data: Import or Use a Live Editor
You can use this approach for your research, creative writing, marketing feedback study, SEO purposes, news analysis, etc.
Add any text (speech-to-text available), notes, or import your Gephi graph, Evernote data, Twitter feed, or Google search results snippets.
The text is converted into a graph where the words are the nodes and the co-occurrences are the connections between them, so you can see all your disjointed bits and pieces of data at once, as a big picture.
Create a Text Network Graph
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2. Get a Visual Overview: From Unstructured Text to Structured Data
The network will then be generated from the text or data you added. The most influential words in the graph (nodes with the highest betweenness centrality) are shown bigger, while the words (nodes) that occur more often together are aligned into topical clusters and have distinct colors.
The graph will show you not only the main topics and the most influential terms, but also the relations between them, making it a much better visual summary tool than the traditional tag clouds.
Natural language processing and text analysis algorithms are used to turn your unstructured text into structured data.
Overview Data with Text Network Visualization
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3. Generate Insight: Discover Relations and Blind Spots using Network Visualization and GPT AI
InfraNodus will identify the structural gaps in the network: parts of the textual data graph that could be connected but are not (the blind spots).
It will propose the different ways how you can bridge these gaps to produce insight and generate new ideas.
You can also export your data as a CSV file (with the InfraNodus insights) for further analysis or to use as a training data for your neural network applications.
Generating Insight with Structural Gaps
Methodology, Whitepaper, Citations:
To learn more about the algorithms used in InfraNodus and for citations, please, refer to this peer-reviewed paper:
Paranyushkin, D (2019). InfraNodus: Generating Insight Using Text Network Analysis, Proceedings of WWW'19 The Web Conference, www.infranodus.com (ACM library, PDF).
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About InfraNodus: Our Philosophy
Gregory Bateson coined a beautiful term: "ecology of the mind". What is a mind that is ecological? It has the ability to have an overview, but it can also zoom into any idea. It embraces diversity, but it can also obsess over one thing when needed. It can discover the obvious, but it can also reveal the things that are hidden and ponder the gaps that have not yet been bridged. Focused and, yet, adaptive. Rational and poetic.
InfraNodus is a tool that is developed to help you think this way. It is made to promote ecological dynamics and diversity on the cognitive level. InfraNodus represents ideas as a network, so you can discover relations and patterns within. Based on this representation, you can enhance your perspective of any discourse and explore the nuances of meaning that would not otherwise be available.
Our research shows that network representation helps avoid cognitive bias and encourages connecting ideas in new ways. This can be very helpful for reading, writing, scientific research, and marketing studies.
If you are interested to support our work, you can sign up, learn more about our philosophy, and join our team.
We also provide an API to ensure that this way of thinking is available not only to humans, but also to other machines, applications, AI programs, and machine learning algorithms.
Dmitry Paranyushkin, the founder
Cognitive Variability: Panarchic Thinking with InfraNodus
Panarchic thinking
InfraNodus is specially designed to promote cognitive variability. Too often people get stuck with a certain idea or a pattern of thinking. InfraNodus can be used as a mind antivirus against obsessive loops — biased ideas, mundane patterns, totalitarian thinking, propaganda, and narrow-mindedness — proposing a kind of thinking that is pan~archic: spanning a range of states and modalities.
We see thinking as an ecological process closely related to ecosystem (i.e. the context) and the resources (attention, data, knowledge). Moments of growth are followed by saturation and decline, which is an opportunity for optimization and reorganization. InfraNodus modulates this process, helping you balance between openness and coherence. It does so through encouraging variability in scale (high-level ideas vs. underlying nuance) and intent (focusing vs. exploration, connecting ideas vs. disrupting them). We aim for a dynamic non-equilibrium that takes you through a variety of different states, each beneficial for a certain part of research process.
To learn more about this approach, please, read about our research framework, ecological thinking and cognitive variability methodology.
Testimonials
InfraNodus is used by researchers, writers, marketing professionals, corporations, and NGOs — Greenpeace, Procter & Gamble, and others. Here's what some of our supporters have to say:
Thank you very much for the huge perspectives opened by InfraNodus! A real change of vision and thinking... at least for me.
I want to express my appreciation for your text analysis product, which I find highly beneficial for extracting information and gaining insights from various content sources. As a daily user and visual learner, this system helps me connect the dots and visualize data dimensions within the text, ultimately assisting me in making well-informed decisions.
Tory Hutchins
North America
We used the Network Structure and interconnectedness features to assist with analysis of a three year university sustainability plan that crossed faculty and staff. It allowed us to create workgroups that will now do the work. Both features were priceless for developing effective cross constituency system design.
Mary Earick
Associate Research Professor, Plymouth State University
I am so thankful to have found your product! It has allowed me to explore graph theory in a way I never thought possible. With your tool, I have been able to create a graph that illustrates the interconnectedness between companies, governments, and industries. It has been an invaluable resource for me, and I highly recommend it.
Financial Services Executive
North America
Thanks to Infranodus I have now an impressively rich network of knowledge about my preferred area of studies, The Development of Interfaces Artificial Intelligence/Artificial Biology. I keep wondering about how many weeks or even months I would spend trying to collect all this information and knowledge by myself only.
Dr Joaquim A. Machado
Brazil
I am using InfraNodus to expose the relationships between characters and problems in the text. I tried to use other text-analysis tools. InfraNodus is — for me — absolutely the best. Thank you for developing a great tool and service.
Philip
Writer
Thank you very much for the huge perspectives opened by InfraNodus! A real change of vision and thinking... at least for me.
Didier
Information Specialist
I want to express my appreciation for your text analysis product, which I find highly beneficial for extracting information and gaining insights from various content sources. As a daily user and visual learner, this system helps me connect the dots and visualize data dimensions within the text, ultimately assisting me in making well-informed decisions.
Tory Hutchins
North America
We used the Network Structure and interconnectedness features to assist with analysis of a three year university sustainability plan that crossed faculty and staff. It allowed us to create workgroups that will now do the work. Both features were priceless for developing effective cross constituency system design.
Mary Earick
Associate Research Professor, Plymouth State University
I am so thankful to have found your product! It has allowed me to explore graph theory in a way I never thought possible. With your tool, I have been able to create a graph that illustrates the interconnectedness between companies, governments, and industries. It has been an invaluable resource for me, and I highly recommend it.
Financial Services Executive
North America
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Technical Support
Check out our support pages, so you can see how to create the new network graphs, how to read and interpret them, how to discover the hidden patterns in your data and share the results of your research.