🧐 Background
In the large-scale reconstruction of CWFrame v0.2, we are dealing with increasingly complex knowledge map displays. Currently, as the number of nodes increases or relationships become denser, the calculation logic for node positions leads to severe visual overlap and hierarchical confusion.
We need a smarter, more aesthetically pleasing layout algorithm.
🎯 Key Objectives
We hope the optimized algorithm will achieve the following goals:
Anti-collision: Automatically calculate node coordinates to ensure that nodes maintain a minimum safe distance.
Logical clustering: Closely related nodes should be spatially closer.
🛠️ Requirements
If you have experience with graph theory algorithms, Canvas/SVG layout optimization, or a related mathematical background, please share your insights:
Recommended algorithm libraries or existing mathematical models.
Optimization strategies for knowledge graph scenarios like CWFrame.
Or simply submit a prototype PR!
Let's build a more beautiful "Computer World" together! 🚀
🧐 Background
In the large-scale reconstruction of CWFrame v0.2, we are dealing with increasingly complex knowledge map displays. Currently, as the number of nodes increases or relationships become denser, the calculation logic for node positions leads to severe visual overlap and hierarchical confusion.
We need a smarter, more aesthetically pleasing layout algorithm.
🎯 Key Objectives
We hope the optimized algorithm will achieve the following goals:
Anti-collision: Automatically calculate node coordinates to ensure that nodes maintain a minimum safe distance.
Logical clustering: Closely related nodes should be spatially closer.
🛠️ Requirements
If you have experience with graph theory algorithms, Canvas/SVG layout optimization, or a related mathematical background, please share your insights:
Recommended algorithm libraries or existing mathematical models.
Optimization strategies for knowledge graph scenarios like CWFrame.
Or simply submit a prototype PR!
Let's build a more beautiful "Computer World" together! 🚀