Project Folder Structure

This document outlines the folder structure of the project and the purpose of each main folder and sub-folder. Below is a detailed description of what each directory contains and its significance in the project.

source_code

Contains all the source code files for the project. It is where the main functionality of the project is implemented.

data

This directory stores various types of data used and generated by the project. It includes:

• edge_lists

  Contains lists of edges used in graph-based analyses.

• original_positions

  Stores data on the original positions of elements or nodes before any processing, usually created during simulations.

• reconstructed_positions

  Holds the positions of nodes after they have been reconstructed

• pixelgen_data

  Contains pixelgen data

• slidetag_data

  Contains slidetag data

• colorfolder

  Stores color code data, potentially used for visualization or categorization.

results

This directory is dedicated to storing the output of analyses and computations. It includes:

• individual_spatial_constant_results

  Results from spatial constant analyses on individual elements.

• plots

  A comprehensive collection of plots generated from the project’s data. It includes:

  • main_spatial_coherence_results

    Summary folder of running the spatial coherence algorithm. It contains spatial constant analysis, correlation dimension prediction and rank gram matrix analysis. Also can contain the reconstructed images.

  • original_image

    Plots of original images before processing.

  • reconstructed_image

    Plots showing images after reconstruction.

  • shortest_path_heatmap

    Heatmaps of shortest paths within networks or graphs.

  • mst_image

    Images showing the minimum spanning tree of a graph.

  • correlation_euclidean_sp

    Plots correlating Euclidean distances and shortest paths.

  • main_spatial_coherence_results

    Results highlighting the spatial coherence in the data.

  • spatial_constant

    A series of plots related to spatial constants, including variations, graph growth analyses, and subgraph sampling.

  • predicted_dimension

    Plots related to the dimensionality predictions of data or networks.

  • clustering_coefficient, degree_distribution, shortest_path_distribution, weight_distribution

    Statistical distributions and analyses related to the graph properties.

• all_subgraphs_reconstruction

  Contains results from reconstructing all subgraphs, including positions and images.

Miscellaneous

• pixelgen_quality_plots

  Plots assessing the quality of pixel generation.

• bfs_animation

  Animations created using a Breadth-First Search algorithm, showcasing the process or results.

• profiler

  Performance profiling results of the project’s code or algorithms.