Generate Insight using
Text Network Analysis
Get a visual summary and discover the structural gaps in your knowledge
Start Using InfraNodus
Create an account, launch your own instance, or ask us about the enterprise solution.
How Text Network Analysis Works
Network analysis and graph visualization help you cope with the informational overload and make sense of data.
Here is how it works:
1. Add Any Text or Data
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.
2. Get a Visual Overview
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 tagclouds.
3. Generate Insight
InfraNodus will identify the structural gaps in the network: parts of the graph that could be connected but are not.
It will propose you the different ways how you can bridge these gaps to produce insight and generate new ideas.
Our Methodology in Detail
To learn more about the algorithms used in InfraNodus and for citations, please, refer to these peer-reviewed papers:Paranyushkin, D (2019). InfraNodus: Generating Insight Using Text Network Analysis, Proceedings of WWW'19 The Web Conference, www.infranodus.com (ACM library, PDF).
Paranyushkin, D (2011). Identifying the pathways for meaning circulation using text network analysis, Nodus Labs.
Become a Supporter!
InfraNodus is open-source software and is developed without external funds or investors. We develop and maintain this tool and the associated research based on your contributions only. We believe it is a working model for crowdfunded software made by users for users.
You can support our work if you become a patron and get access to the cloud version or download and install the free open-source version to your computer. Enterpise, government, and educational versions are also available.
Case Studies and Research
The best way to use InfraNodus is to identify structural gaps in texts or any connected data, so that you know what is missing and how to fulfil it. Some areas of application include:
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Scientific Research
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Search Engine Optimization (SEO)
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Creative Writing
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Marketing Research
Video Tutorials on Network Visualization
See how you can solve concrete problems and tasks with network visualization and graph analysis using InfraNodus.
Pricing Options
InfraNodus has a free open-source version that you can install yourself. You can also use our cloud version or request a managed enterprise solution to be installed on your servers or on the cloud.
Open-Source
Community Support
- Install by Yourself
- Hosted on Your Computer
- Full Control Over Settings
- Non-Commercial Use
Cloud Version
Dedicated 24/7 Support
- Instant Activation
- Hosted on the Cloud
- Dedicated Support
- Request New Features
- Automatic Updates
- Commercial Use
Enterprise
Enterprise SLA
- Dedicated Database
- Your Servers or Cloud
- Setup & Customization
- Commercial Use
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.
1. How to Create a New Graph
The most basic way to create a new graph is to use the hashtags. Each hashtag is a node, their co-occurrence is the connection between them. You can also use normal text to build your text graphs automatically. More on Creating the Graphs
2. How to Read and Interpret Network Visualization
Studies have shown that diagrams and especially network representation of data makes you think more of connections in your data. You can identify the main elements as well as the relations between them and — most importantly — discover the gaps in your knowledge using the graphs. More on Reading the Graphs
3. Find the Right Excerpt in Text
Network graphs are great for non-linear reading. Look at the graph, find the part you like, click on the nodes, and you'll see the excerpt of your original data that contains this exact combination. More on Nonlinear Reading
4. How to Import Text and PDF files
You can import and visualize your text files or PDF documents. In order to do that, just upload the file and InfraNodus will do the rest. More on Visualizing PDFs