financial-contagion

[WWW 2022] Supplementary Code for "Allocating Stimulus Checks in Times of Crisis"

https://github.com/papachristoumarios/financial-contagion

Science Score: 44.0%

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CITATION.cff file
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Scientific vocabulary similarity
Low similarity (9.2%) to scientific vocabulary

Keywords

access-to-opportunity bailouts eisenberg-noe fairness financial-contagion information-network optimization

Last synced: 6 months ago · JSON representation ·

Repository

[WWW 2022] Supplementary Code for "Allocating Stimulus Checks in Times of Crisis"

Basic Info

Host: GitHub
Owner: papachristoumarios
Language: Python
Default Branch: main
Homepage: https://arxiv.org/pdf/2106.07560.pdf
Size: 18.8 MB

Statistics

Stars: 8
Watchers: 2
Forks: 3
Open Issues: 1
Releases: 1

Topics

access-to-opportunity bailouts eisenberg-noe fairness financial-contagion information-network optimization

Created about 5 years ago · Last pushed about 4 years ago

Metadata Files

Readme Citation

Supplementary Code for "Allocating Stimulus Checks in Times of Crisis"

Setup

Install the required packages with

bash pip install -r requirements.txt

Usage

Use the following command to see available options for every snippet

bash python {snippet.py} --help

Scripts

A list of scripts to reproduce the results of the paper follows:

seed_subsidy_allocation.py. Produces a plot that compares the greedy, the randomized rounding algorithm and the baselines on optimizing the welfare objective. The values are also compared to the optimal solution of the fractional relaxation.
seed_subsidy_allocation_fairness.py. Compares the randomized rounding solution and the corresponding fractional solutions where fairness constraints on the Gini Coefficient are present.
seed_subsidy_allocation_fairness_pof.py. Similarly to seed_subsidy_allocation_fairness.py it plots the relation between the PoF and the upper bound on the value of the corresponding Gini Coefficient
seed_subsidy_allocation_sbm.py. Plots the behaviour of PoF for a stochastic blockmodel generated from two equally-sized cliques connected with i.i.d. edges of bias q with one another.

The data that can be used via the --dataset flag are the following:

Citation

Please use the following citation when referring to the paper and the source code

bibtex @article{papachristou2021allocating, title={Allocating Stimulus Checks in Times of Crisis}, author={Papachristou, Marios and Kleinberg, Jon}, journal={Proceedings of The Web Conference}, year={2022} }

Owner

Name: Marios Papachristou
Login: papachristoumarios
Kind: user
Location: Ithaca, NY
Company: Cornell CS

Website: papachristoumarios.github.io
Twitter: papachristoum
Repositories: 78
Profile: https://github.com/papachristoumarios

Cornell CS PhD Student

Citation (CITATION.cff)

cff-version: 1.1.0
authors:
  - family-names: Papachristou
    given-names: Marios
  - family-names: Kleinberg
    given-names: Jon
title: Allocating Stimulus Checks in Times of Crisis
version: 2106.07560
date-released: 2021-06-21
references:
  - type: article
    authors:
      - family-names: Papachristou
        given-names: Marios
      - family-names: Kleinberg
        given-names: Jon
    title: Allocating Stimulus Checks in Times of Crisis
    journal: 'Proceedings of the Web Conference 2022'
    year: 2022

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