thgl_forum — Reddit comments of January 2014 (thgl-forum, TGB 2.0)

Description

A temporal heterogeneous network of the comments posted on Reddit in January 2014, from the thgl-forum dataset of the Temporal Graph Benchmark (TGB 2.0), extracted from the Reddit data of Nadiri and Takes (2022), based on the Pushshift collection of Reddit comments. The nodes are users and subreddits, and each comment gives two timestamped directed edges: one from its author to the user it replies to (reply), and one from its author to the subreddit it is posted in (post), both with the number of words and the score of the comment. Only the users and subreddits with at least 100 edges were kept by TGB. The users and subreddits are anonymized (they are identified only by indices).

The network has the following properties:

(Node) is_subreddit: whether the node is a subreddit (otherwise a user).
(Edge) relation: reply (from a user to the user replied to) or post (from a user to a subreddit).
(Edge) time: the time of the comment, in Unix time.
(Edge) num_words: the number of words of the comment.
(Edge) score: the score of the comment (upvotes minus downvotes).

Tags

Social Online Communication Unweighted Multigraph Timestamps Metadata

Added

2026-10-27

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
A. Nadiri, F. W. Takes, "A large-scale temporal analysis of user lifespan durability on the Reddit social media platform." Companion Proceedings of the Web Conference 2022, 677-685 (2022) 10.1145/3487553.3524699 Sci-Hub

Upstream URL OK

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

Upstream license

CC BY-NC 2.0, https://creativecommons.org/licenses/by-nc/2.0/

Networks

Tip: hover over a column header 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
thgl_forum	152,816	23,757,707	155.47	3840.86	573.70	2169.72	-0.07	0.06	7	1.00	Directed	Unipartite	is_subreddit	relation time num_words score	73.9 MiB	197.5 MiB	185.5 MiB	146.1 MiB