GitHub MUSAE
Donated on 10/6/2019
A social network of GitHub users with user-level attributes, connectivity data and a binary target variable.
Dataset Characteristics
Multivariate
Subject Area
Social
Associated Tasks
Classification
Attribute Type
-
# Instances
37700
# Attributes
4006
Information
Additional Information
A large social network of GitHub developers which was collected from the public API in June 2019. Nodes are developers who have starred at least 10 repositories and edges are mutual follower relationships between them. The vertex features are extracted based on the location, repositories starred, employer and e-mail address. The task related to the graph is binary node classification - one has to predict whether the GitHub user is a web or a machine learning developer. This target feature was derived from the job title of each user.
Attribute Information
Additional Information
Attributes are binary indicators extracted based on the location, repositories starred, employer and e-mail address.
GitHub MUSAE. (2019). UCI Machine Learning Repository. https://doi.org/10.24432/C5Z02B.
@misc{misc_github_musae_588,
title = {{GitHub MUSAE}},
year = {2019},
howpublished = {UCI Machine Learning Repository},
note = {{DOI}: https://doi.org/10.24432/C5Z02B}
}DOI
License
This dataset is licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) license.
This allows for the sharing and adaptation of the datasets for any purpose, provided that the appropriate credit is given.