Mind Map Tool: Use Text-to-Network Input to Create Concept Maps

Mind mapping is a powerful approach that is often used for research and creative thinking. Most of the web tools out there, however, do not explore the full potential of mind maps.

First, it is difficult to create mind maps. You have to spend a lot of time drawing the elements and the relations between them. InfraNodus has a unique text-to-graph visualization system that converts your language into graphs automatically.

Text to network graph visualization

The second problem is that most mind maps are superficial: you can map out all your ideas and the relations between them. This can be useful to have an overview, but especially as the complexity rises it is impossible to obtain insight about the individual elements in the mind map and some patterns emerging within.

This is where network analysis can be very useful for creating mind maps. The main advantage of representing a mind map as a network is that you can use all the tools from graph theory to get additional insight into the structure of your thoughts and ideas.

What are the most influential ideas? What are the vulnerable areas? What are the main clusters of your thoughts? Where are the gaps in your discourse?

Using the powerful tools from network science, such as community detection and node ranking algorithms, you can build your own mind map using the network logic as the template for thinking.

Text Mining Using a Network Graph in 4 Steps

In order to try the text mining app on your data, log in InfraNodus and choose the "Add a new text" app on the apps screen.

First, create a new empty graph and then use the text or import your data to start creating your mind map.

Create a new mind map graph

Use our unique text-to-graph input where the #hashtags or @mentions are the nodes and your sentences describe the connections between them.

Add the elements into the mindmap

For example, a sentence like "#kidney is an organ important for #metabolism" will create a connection between the node "kidney" and "metabolism". If you wrote @kidney #metabolism #blood, you'd have the node "kidney" connecting to the nodes "metabolism" and "blood".

Use the text-to-graph input to create your network visualization

Gradually you will have the whole mindmap visualized as a graph, so you can see the most important elements, clusters, and how they are related.

See your mind map as a network graph.

You can also generate new ideas for the mind map if you look at the structural gaps in the graph using the Insight feature.

Find the structural holes in your mind map graph.

The short video tutorial below explains this process in detail and shows the workflow that you can follow if you want to create a mind map using network visualization tool InfraNodus.


How Does It Work?

The basic approach is based on our paper: InfraNodus: Generating Insight Using Network Analysis (Paranyushkin, 2019).

Every unique hashtag or mention is represented as a node while their co-occurrence is represented as a graph edge.

Next, we apply several node ranking and community detection measures, which range the nodes by betweenness centrality (discoursive influence) and groups them by communities (the nodes that are more densely connected together belong to the same topic, have the same color, and are located closer on the graph.

This is not usually done on mind maps but it provides the unique insights about the structur of your thought and knowledge: what are the most influential concepts, how diverse the structure of your thought is, what are the main meaning clusters and how they are related. More importantly, you can also discover the gaps in your knowledge or explore a new direction that may have not been available to you without this new perspective.

Try It Yourself

You can try this approach yourself using InfraNodus for any search query you're interested in:

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Custom Interactive Mind Mapping using Network Visualization

Custom interactive mind maps can be very useful for representing knowledge within any organization.

Contact us if you are interested in a particular use case or if you have any questions about creating a mind map based on your own source data.

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