The Bellande Node Importance Executable is an n-dimensional tool that determines node significance through coverage, connectivity, and neighborhood density analysis.
executable | ||
git_scripts | ||
.gitignore | ||
LICENSE | ||
README.md | ||
run_executable.bellos | ||
run_executable.sh |
📦 Bellande Node Importance Models & Executables
Demo of Bellande Node Importance
🧙 Organization Website
🧙 Organization Github
Author, Creator and Maintainer
- Ronaldson Bellande
Usage
./Bellande_Node_Importance passcode node recent_nodes important_nodes adjacent_segments grid_steps min_segment_coverage
Arguments
passcode
: The access key (must be "bellande_node_importance_executable_access_key")node
: Node to evaluate as [coordinates, segment] (e.g., "[[5.0, 5.0, 5.0], 1]")recent_nodes
: List of recent nodes as coordinates, segment], ...] (e.g., "[[[4.0, 4.0, 4.0], 1], [[6.0, 6.0, 6.0], 1")important_nodes
: Dictionary of important nodes by segment (e.g., "{'1': [4.0, 4.0, 4.0], 1, '2': [15.0, 15.0, 15.0], 2}")adjacent_segments
: Dictionary of adjacent segments (e.g., "{'1': [2], '2': [1]}")grid_steps
: Step sizes for each dimension as a list (e.g., "[10.0, 10.0, 10.0]")min_segment_coverage
: Float value for minimum segment coverage ratio (default: 0.5)
Example
./Bellande_Node_Importance \
"bellande_node_importance_executable_access_key" \
"[[5.0, 5.0, 5.0], 1]" \
"[[[4.0, 4.0, 4.0], 1], [[6.0, 6.0, 6.0], 1], [[5.5, 5.5, 5.5], 1]]" \
"{'1': [[[4.0, 4.0, 4.0], 1]], '2': [[[15.0, 15.0, 15.0], 2]]}" \
"{'1': [2], '2': [1]}" \
"[10.0, 10.0, 10.0]" \
"0.5"
Notes
- Passcode must be exactly "bellande_node_importance_executable_access_key"
- All coordinates within nodes must have the same dimensions
- Grid steps must match the dimensionality of the nodes
- Use proper Python list and dictionary syntax for all inputs
- The script supports infinite dimensions, limited only by system resources
- All numeric values can have decimal precision
- The function evaluates node importance based on:
- Coverage ratio in the segment
- Connection potential with important nodes in adjacent segments
- Local neighbor density
Error Handling
The script includes error handling for:
- Incorrect number of arguments
- Invalid passcode
- Mismatched dimensions across coordinates
- Invalid input format (syntax errors)
- Invalid data structure formats
- Inconsistent dimensionality between nodes and grid steps
- Other unexpected errors
License
This Algorithm or Models is distributed under the Creative Commons Attribution-ShareAlike 4.0 International License, see LICENSE and NOTICE for more information.