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a-blue-start

The ABlueStart dataset

https://github.com/nwlandry/a-blue-start

Science Score: 67.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ✓
    CITATION.cff file
    Found CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
  • ✓
    DOI references
    Found 2 DOI reference(s) in README
  • ✓
    Academic publication links
    Links to: arxiv.org
  • ○
    Committers with academic emails
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    Institutional organization owner
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    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (8.1%) to scientific vocabulary
Last synced: 6 months ago · JSON representation ·

Repository

The ABlueStart dataset

Basic Info
  • Host: GitHub
  • Owner: nwlandry
  • License: other
  • Language: Jupyter Notebook
  • Default Branch: main
  • Size: 70.8 MB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 3
Created 12 months ago · Last pushed 6 months ago
Metadata Files
Readme License Citation

README.md

a-blue-start

This repository accompanies the preprint "A Blue Start: A large-scale pairwise and higher-order social network dataset" by Alyssa Smith, Ilya Amburg, Sagar Kumar, Brooke Foucault Welles, and Nicholas W. Landry. It provides all codes for reproducing the analyses and figures in the manuscript.

Repository structure:

  • data contains data on the network statistics plotted in Figs. 1-6 in the paper.
  • figures contains the Figs. 1-6 in the paper.

Scripts

The following scripts are used to generate statistics from the network data: * get_network_stats.py: This script is used to get the in- and out-degree sequences and the sizes of the weakly and strongly connected components for the following network and save them as a JSON file. * get_starterpack_clustering: This script is used to get node cluster labels based on the Leiden algorithm and then compute the normalized entropies of each edge. * get_starterpack_k-core.py: This script performs a k-core decomposition of the starter packs. * get_starterpack_kendall_tau.py: This script compares nodal rankings from the starter pack network and compares to the following network ranking using the Kendall Tau measure. * get_starterpack_pair_co-occurrence.py: This script returns the distribution of two-node co-occurrence frequencies in the starter pack network. python python get_pair_co-occurrence.py --input_filepath "data/deidentified_starterpack_hif.json" --max_pack_size 4070 --num_workers 10 * get_starterpack_pair_s-line_count.py: This script returns the number of nodes and edges in the s-line graph for $s=1,2,\dots,345$. It can be run as follows: python python s_line_count.py data/deidentified_starterpack_hif.json --smin 1 --smax 345 --output data/s_count.txt * get_starterpack_stats.py: This script returns basic statistics of the starter pack network as a JSON file.

Plotting

  • plot_network_stats.ipynb: This notebook plots Fig. 4 and also prints the basic network statistics in a readable way.
  • plot_starterpack_stats.ipynb: This notebook plots Figs. 1-3, 5 and also prints the basic starter pack statistics in a readable way.

Getting started

Start by downloading the data from the Social Media Archive @ ICPSR (SOMAR).

Owner

  • Name: Nicholas Landry
  • Login: nwlandry
  • Kind: user
  • Location: Burlington, VT
  • Company: University of Vermont

Citation (CITATION.cff) 

cff-version: 1.2.0
message: "If you use this software, please cite it as below."
authors:
- family-names: "Smith"
  given-names: "Alyssa"
  orcid: "https://orcid.org/0000-0001-6259-3698"
- family-names: "Amburg"
  given-names: "Ilya"
  orcid: "https://orcid.org/0000-0003-1632-5427"
- family-names: "Landry"
  given-names: "Nicholas"
  orcid: "https://orcid.org/0000-0003-1270-4980"
title: "nwlandry/a-blue-start"
version: 0.1
date-released: 2025-05-16
url: "https://github.com/nwlandry/a-blue-start"

GitHub Events

Total
  • Release event: 3
  • Delete event: 1
  • Public event: 1
  • Push event: 10
  • Pull request review event: 1
  • Pull request event: 3
  • Create event: 4
Last Year
  • Release event: 3
  • Delete event: 1
  • Public event: 1
  • Push event: 10
  • Pull request review event: 1
  • Pull request event: 3
  • Create event: 4

Committers

Last synced: 9 months ago

All Time
  • Total Commits: 44
  • Total Committers: 2
  • Avg Commits per committer: 22.0
  • Development Distribution Score (DDS): 0.091
Past Year
  • Commits: 44
  • Committers: 2
  • Avg Commits per committer: 22.0
  • Development Distribution Score (DDS): 0.091
Top Committers
Name Email Commits
Nicholas Landry n****1@g****m 40
ilyaamburg 4****g 4

Issues and Pull Requests

Last synced: 9 months ago

All Time
  • Total issues: 0
  • Total pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Total issue authors: 0
  • Total pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
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Top Authors
Issue Authors
Pull Request Authors
  • nwlandry (1)
Top Labels
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Dependencies

requirements.txt pypi
  • igraph *
  • leidenalg *
  • matplotlib *
  • numpy *
  • pandas *
  • scipy *
  • seaborn *
  • tarjan *
  • tqdm *
  • xgi *