Beyond Mind Maps: Expanding the Power of Concept Mapping
I have been an intensive MindManager user for a long time and use it, among other things, for conceptual work, analysis and theory building as well as the development of creative content. While it excels at creating mind maps, I find its concept mapping capabilities fall short.
It's easy to visualize hierarchical information with mind maps. However, we struggle to represent the complex, non-hierarchical relationships that underpin many of our thoughts, systems, and concepts. It's like trying to arrange a tangled web of ideas on neat little shelves – the order feels forced, and the true connections become obscured.
Forcing hierarchical structures onto non-hierarchical concepts muddles the relationships and hinders clear thinking. We need a way to visualize these relationships spontaneously and easily.
Existing concept mapping tools in MindManager feel like an afterthought compared to mind maps, lacking advanced layout options and making the modeling process cumbersome. Adjusting nodes often results in unpredictable line behavior, further hindering the workflow and leading to wasted time. This is unacceptable for the fast-paced nature of everyday business, which then basically forces us to rely on mind maps, even when they're not the best fit.
We need more advanced CM features. Automatic shape and position corrections for relation lines, a wider variety of node or map-oriented layout options designed for concept maps, and dedicated support for systems thinking and causal loop diagrams would be transformative.
The easier it is for us to visualize our thoughts appropriately, the better we can focus on the core conceptual work. And improved tools would not only make our presentations more understandable for others, the Maps would even be easier for us to understand, because they would involve fewer compromises and mental contortions!
Thanks!
P.S. I'm using MM22, so sorry if some of what I'm criticizing has already been introduced.
Hello Mike. I use an alternative form of "Knowledge Tree" map for exactly the reasons you describe. If you want to contact me at Harport Consulting I would be glad to demo it.
Hello Mike. I use an alternative form of "Knowledge Tree" map for exactly the reasons you describe. If you want to contact me at Harport Consulting I would be glad to demo it.
To avoid confusion, when I discuss improved concept mapping features, I'm specifically referring to non-linearly interconnected node networks that visualize complex relationships within a context (i.e., graphs with nodes and edges). Examples include semantic networks, system dynamics, PERT diagrams, and other specialized or user-designed network types that allow for complex visualization of concepts.
I acknowledge the many valuable visualization options available in MM, and I use them frequently in various combinations. However, in this case, I'm not interested in a combination of existing techniques. Instead, I'd like to see targeted improvements specifically for working with concept maps themselves, with a focus on increased efficiency. A single, consistent technique would streamline the process, leading to consistent and easily redesigned results whenever needed.
In terms of concept mapping, we are only at the very first level of development in MM: we can link nodes to each other. That's it. We have a push scooter and can get a little further.
For small needs every now and then you can certainly use a scooter, for more extreme challenges you need a racing car. However, the first is too limited for business needs and the second is more for highly specialized people for whom there are already suitable tools. What I propose is a middle solution: a nice, user-friendly and versatile family car.
The first and currently most crucial change for our concept maps would be the ability to automatically adjust the layout. As we move nodes to modify the structure, the graph should intelligently adapt:
Implementing automatic layout and connection adjustment would significantly improve the usability and efficiency of concept maps, making them a more attractive and widely used tool.
And this is not the end of the CM journey, but I will post further suggestions separately.
To avoid confusion, when I discuss improved concept mapping features, I'm specifically referring to non-linearly interconnected node networks that visualize complex relationships within a context (i.e., graphs with nodes and edges). Examples include semantic networks, system dynamics, PERT diagrams, and other specialized or user-designed network types that allow for complex visualization of concepts.
I acknowledge the many valuable visualization options available in MM, and I use them frequently in various combinations. However, in this case, I'm not interested in a combination of existing techniques. Instead, I'd like to see targeted improvements specifically for working with concept maps themselves, with a focus on increased efficiency. A single, consistent technique would streamline the process, leading to consistent and easily redesigned results whenever needed.
In terms of concept mapping, we are only at the very first level of development in MM: we can link nodes to each other. That's it. We have a push scooter and can get a little further.
For small needs every now and then you can certainly use a scooter, for more extreme challenges you need a racing car. However, the first is too limited for business needs and the second is more for highly specialized people for whom there are already suitable tools. What I propose is a middle solution: a nice, user-friendly and versatile family car.
The first and currently most crucial change for our concept maps would be the ability to automatically adjust the layout. As we move nodes to modify the structure, the graph should intelligently adapt:
Implementing automatic layout and connection adjustment would significantly improve the usability and efficiency of concept maps, making them a more attractive and widely used tool.
And this is not the end of the CM journey, but I will post further suggestions separately.
I'm with you on this. One great analogy is people in movies who are trying to solve a crime or uncover a conspiracy. So they put pictures or pieces of paper on a board on a wall and then pin a string between different pictures or groups. In v23 there's a "Concept map" option,
But I feel misled because this is what you get:
One of these things is not like the other.
I'm with you on this. One great analogy is people in movies who are trying to solve a crime or uncover a conspiracy. So they put pictures or pieces of paper on a board on a wall and then pin a string between different pictures or groups. In v23 there's a "Concept map" option,
But I feel misled because this is what you get:
One of these things is not like the other.
The two pictures you posted are quite funny considering your crime scene scenario. But the film wouldn't even need actors - the crime solves itself!
Why? The pictures share a glaring clue. The unmistakable "handwriting" exposes the culprit before the director could cast the detective for the wall network scene. Now, some suspenseful music would be needed to keep the audience from leaving!
For those still in their seats, the solution: Both images represent network structures, but neither is a true/typical concept map. One resembles a mind map due to an unfortunate symbol selection. The other is a decision tree, a surprising result of using the "Insert" key in a concept map context. Seeing them together can be disorienting.
The culprit's signature? Consistent undervaluing of concept maps through half-heartedly implementation, below their potential. Or let's call it "work in progress"...
Your profile suggests you're new to MindManager. The situation in the images might seem confusing. However, I believe you've discovered concept maps offer more, right? (Insert, Enter, or Double-click to create nodes. Drag nodes over each other to link them, or use the relationship button - probably similar to my slightly older version)
While I playfully critique concept maps here, MindManager itself is powerful software with a vast array of solutions for diverse scenarios.
The two pictures you posted are quite funny considering your crime scene scenario. But the film wouldn't even need actors - the crime solves itself!
Why? The pictures share a glaring clue. The unmistakable "handwriting" exposes the culprit before the director could cast the detective for the wall network scene. Now, some suspenseful music would be needed to keep the audience from leaving!
For those still in their seats, the solution: Both images represent network structures, but neither is a true/typical concept map. One resembles a mind map due to an unfortunate symbol selection. The other is a decision tree, a surprising result of using the "Insert" key in a concept map context. Seeing them together can be disorienting.
The culprit's signature? Consistent undervaluing of concept maps through half-heartedly implementation, below their potential. Or let's call it "work in progress"...
Your profile suggests you're new to MindManager. The situation in the images might seem confusing. However, I believe you've discovered concept maps offer more, right? (Insert, Enter, or Double-click to create nodes. Drag nodes over each other to link them, or use the relationship button - probably similar to my slightly older version)
While I playfully critique concept maps here, MindManager itself is powerful software with a vast array of solutions for diverse scenarios.
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