homophilic_directed_scalefree_networks

Inequalities in Homophilic Directed ScaleFree Networks

https://github.com/gesiscss/homophilic_directed_scalefree_networks

Science Score: 57.0%

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CITATION.cff file
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Scientific vocabulary similarity
Low similarity (2.9%) to scientific vocabulary

Keywords

directed-graph homophily inequalities preferential-attachment python3 random-networks

Last synced: 6 months ago · JSON representation ·

Repository

Inequalities in Homophilic Directed ScaleFree Networks

Basic Info

Host: GitHub
Owner: gesiscss
License: apache-2.0
Language: Jupyter Notebook
Default Branch: master
Homepage:
Size: 74.3 MB

Statistics

Stars: 10
Watchers: 9
Forks: 6
Open Issues: 1
Releases: 0

Topics

directed-graph homophily inequalities preferential-attachment python3 random-networks

Created about 6 years ago · Last pushed over 1 year ago

Metadata Files

Readme License Citation

Homophilic & Directed scale-free networks

Inequality and Inequity in Network-based Ranking and Recommendation Algorithms

Notebooks

| # | Description | Launch in Binder | | :---: | :- | :---: | | 1 | Example: Inquality and Inequity in ranking | | | 2 | Datasets: Empirical metworks | | | 3 | Model: Generating Random, DPA, DH and DPAH networks | | | 4 | Paper: Main plots | | | 5 | Paper: Supplementary material | | |

Publications

Inequality and Inequity in Network-based Ranking and Recommendation Algorithms Lisette Espín-Noboa, Claudia Wagner, Markus Strohmaier and Fariba Karimi. Sci Rep 12, 2012 (2022). https://doi.org/10.1038/s41598-022-05434-1
Towards Quantifying Sampling Bias in Network Inference. Lisette Espín-Noboa, Fariba Karimi, Markus Strohmaier and Claudia Wagner. In LatinX in AI workshop at ICML. https://icml.cc/virtual/2020//7094

Owner

Name: GESIS – Leibniz Institute for the Social Sciences
Login: gesiscss
Kind: organization
Location: Cologne, Germany

Website: https://www.gesis.org/en/institute/departments/computational-social-science
Repositories: 46
Profile: https://github.com/gesiscss

Department Computational Social Science

Citation (citation.cff)

cff-version: 1.2.0
message: "If you use this software, please cite it as below."
authors:
- family-names: "Espín-Noboa"
  given-names: "Lisette"
  orcid: "https://orcid.org/0000-0002-3945-2966"
- family-names: "Wagner"
  given-names: "Claudia"
  orcid: "https://orcid.org/0000-0002-0640-8221"
- family-names: "Strohmaier"
  given-names: "Markus"
  orcid: "https://orcid.org/0000-0002-5485-5720"
- family-names: "Karimi"
  given-names: "Fariba"
  orcid: "https://orcid.org/0000-0002-0037-2475"
title: "Inequality and inequity in network-based ranking and recommendation algorithms"
url: "https://github.com/gesiscss/Homophilic_Directed_ScaleFree_Network"
preferred-citation:
  type: article
  authors:
  - family-names: "Espín-Noboa"
    given-names: "Lisette"
    orcid: "https://orcid.org/0000-0002-3945-2966"
  - family-names: "Wagner"
    given-names: "Claudia"
    orcid: "https://orcid.org/0000-0002-0640-8221"
  - family-names: "Strohmaier"
    given-names: "Markus"
    orcid: "https://orcid.org/0000-0002-5485-5720"
  - family-names: "Karimi"
    given-names: "Fariba"
    orcid: "https://orcid.org/0000-0002-0037-2475"
  doi: "10.1038/s41598-022-05434-1"
  journal: "Scientific Reports"
  month: 2
  start: 1 # First page number
  end: 14 # Last page number
  title: " Inequality and inequity in network-based ranking and recommendation algorithms."
  issue: 1
  volume: 12
  year: 2022

GitHub Events

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Last synced: over 1 year ago

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Total issues: 2
Total pull requests: 4
Average time to close issues: about 2 months
Average time to close pull requests: about 5 hours
Total issue authors: 2
Total pull request authors: 1
Average comments per issue: 0.5
Average comments per pull request: 0.0
Merged pull requests: 4
Bot issues: 0
Bot pull requests: 4

Past Year

Issues: 0
Pull requests: 1
Average time to close issues: N/A
Average time to close pull requests: about 2 hours
Issue authors: 0
Pull request authors: 1
Average comments per issue: 0
Average comments per pull request: 0.0
Merged pull requests: 1
Bot issues: 0
Bot pull requests: 1

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dependencies (5)

Dependencies

requirements.txt pypi

fast_pagerank ==0.0.4
joblib ==1.2.0
matplotlib ==3.0.0
networkx ==2.2
numpy ==1.22.0
palettable ==3.3.0
pandas ==0.22.0
powerlaw ==1.4.6
scikit-learn ==0.22.1
scipy ==1.2.0
seaborn ==0.9.0
statsmodels ==0.9.0

ecosyste.ms

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