well-being-diffusion-maps [1], [2]

Code Organization

    ├── data/                               # dataset                        
        └── dataset (.sav file)
    ├── out/                                # output folder
        ├── density-conjecture/
        └── diff-maps-embedding/             
    └── src/     
        ├── ...
        └── main.py                        # source code

Running the code

This code uses the Sacred [2] framework for experiment management. Python version 3.10.13.

running main.py will run the algorithm with the parameters set in the forward_main configuration of the dataset_ingredient (dataset.py) and the configuration presets in diffusion_maps.py and main.py files per the Sacred framework.

running all welfare regimes:

python main.py with dataset.all_welfare_regimes_forward

with is the Sacred command for running configurations.

References

[1] Lahat, Lihi and Sharony, Chen and Van-Dam, Guy and Sharon, Nir. "The Relationship Between Perceptions of Social Service Quality and Subjective Well-Being." Social Policy & Administration, 2025. https://doi.org/10.1111/spol.13141

[2] Ronald R. Coifman and Stéphane Lafon. "Diffusion maps." Applied and Computational Harmonic Analysis, Volume 21, Issue 1, 2006, Pages 5-30. https://doi.org/10.1016/j.acha.2006.04.006

[3] Klaus Greff, Aaron Klein, Martin Chovanec, Frank Hutter, and Jürgen Schmidhuber. "The Sacred Infrastructure for Computational Research." Proceedings of the 16th Python in Science Conference, 2017. http://conference.scipy.org/proceedings/scipy2017/klaus_greff.html