thgl_github — GitHub activity in January and March 2024 (thgl-github and thgl-software, TGB 2.0)

Description

Temporal heterogeneous networks of the activity on GitHub, from the thgl-github and thgl-software datasets of the Temporal Graph Benchmark (TGB 2.0), built from the public event stream of GitHub collected by GH Archive. The nodes are users, repositories, issues and pull requests, anonymized by TGB (they are identified only by indices). Each timestamped directed edge is an event of one of 14 kinds: a user opens, closes or reopens an issue or a pull request (with a corresponding edge from the issue or pull request to its repository), a user is added as a member of a repository, or a repository is forked from another one (the edge goes from the new fork to the forked repository). The comments on issues and pull requests, which TGB extracted as well, were removed by TGB since they rarely interact more than once. The networks are:

march_2024 (thgl-github): the activity of March 2024, keeping only the nodes with more than two edges;
january_2024 (thgl-software): the activity of January 2024, keeping only the nodes with at least 10 edges.

The networks have the following properties:

kind: the kind of the node: user, repository, issue or pull_request.
Edge relation: the kind of event: user_opened_issue, user_closed_issue, user_reopened_issue, issue_opened_in_repository, issue_closed_in_repository, issue_reopened_in_repository, user_opened_pull_request, user_closed_pull_request, user_reopened_pull_request, pull_request_opened_in_repository, pull_request_closed_in_repository, pull_request_reopened_in_repository, user_added_as_member or forked_from.
Edge time: the time of the event, in Unix time, as given by TGB. The times appear to be shifted by the offset of the US Eastern time zone (4 or 5 hours later than the actual times of the events, which GH Archive gives in UTC): those of march_2024 span from 2024-03-01 05:00 to 2024-04-01 03:59 UTC, and those of january_2024 from 2024-01-01 05:01 to 2024-02-01 04:59 UTC.

Tags

Technological Software Online Collaboration Unweighted Multigraph Timestamps Metadata

Citation

J. Gastinger, S. Huang, M. Galkin, E. Loghmani, A. Parviz, F. Poursafaei, J. Danovitch, E. Rossi, I. Koutis, H. Stuckenschmidt, R. Rabbany, G. Rabusseau, "TGB 2.0: A Benchmark for Learning on Temporal Knowledge Graphs and Heterogeneous Graphs." Advances in Neural Information Processing Systems 37 (Datasets and Benchmarks Track) (2024) 10.48550/arXiv.2406.09639 Sci-Hub

Upstream URL OK

https://tgb.complexdatalab.com/docs/thg/
https://github.com/shenyangHuang/TGB
https://www.gharchive.org/

Upstream license

CC BY 4.0, https://creativecommons.org/licenses/by/4.0/

Networks

Tip: click on a column header to sort the list, or hover over it for a description.

Column legend

$\left<k\right>$: Mean degree
$\sigma_k$: Standard deviation of the degrees
$\lambda_h$: Largest eigenvalue of the Hashimoto (non-backtracking) matrix
$\tau$: Random walk mixing time
$r$: Degree assortativity
$c$: Global clustering coefficient
$\oslash$: (Pseudo-) diameter
$S$: Relative size of the largest component
NPs: Node properties
EPs: Edge properties

Name	Nodes	Edges	$\left<k\right>$	$\sigma_k$	$\lambda_h$	$\tau$	$r$	$c$	$\oslash$	$S$	Kind	Mode	NPs	EPs	gt	GraphML	GML	csv
march_2024	5,856,765	17,499,577	2.99	384.90	237.13	99618.60	-0.05	0.00	77	0.59	Directed	Unipartite	kind	time relation	77.4 MiB	156.0 MiB	154.2 MiB	153.1 MiB
january_2024	681,927	1,489,806	2.18	26.30	32.51	19108.85	-0.01	0.00	71	0.46	Directed	Unipartite	kind	time relation	17.3 MiB	26.7 MiB	26.6 MiB	24.0 MiB