The Bellande Node Importance Executable is an n-dimensional tool that determines node significance through coverage, connectivity, and neighborhood density analysis.
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📦 Bellande Node Importance Models & Executables

Demo of Bellande Node Importance

Demo GIF

🧙 Organization Website

  • Organization Website

🧙 Organization Github

  • 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

  1. passcode: The access key (must be "bellande_node_importance_executable_access_key")
  2. node: Node to evaluate as [coordinates, segment] (e.g., "[[5.0, 5.0, 5.0], 1]")
  3. 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")
  4. 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}")
  5. adjacent_segments: Dictionary of adjacent segments (e.g., "{'1': [2], '2': [1]}")
  6. grid_steps: Step sizes for each dimension as a list (e.g., "[10.0, 10.0, 10.0]")
  7. 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.