twitch_viewers — Twitch stream viewers (2019)

Description

A bipartite network of the users and the streamers (channels) of the live streaming platform Twitch, collected by J. Rappaz, J. McAuley and K. Aberer in July and August 2019 to study recommendation on live-streaming platforms. Every 10 minutes during 43 days, the authors listed all the live streams with the public Twitch API, and the users who were logged in to the chat of each stream. The source data have one record per user and broadcast (a stream of a streamer), with the first and the last round (of 10 minutes) at which the user was seen in its chat; the user names were anonymized by the source.

Here a user is connected to a streamer if the user was present in the chat of at least one broadcast of the streamer, and the edges are weighted by the number of these broadcasts; the individual records (about 475 million, according to the authors) are aggregated into these weighted edges. The subset of 100,000 users provided by the source for benchmarks (100k_a.csv) is not included.

The network has the following properties:

is_user: whether the node is a user (otherwise a streamer).
user_id: the (anonymized) id of the user in the source data (-1 for streamers).
name: the name of the channel of the streamer (empty for users).
Edge weight: the number of broadcasts of the streamer in whose chat the user was seen.
Edge rounds: the total number of 10-minute rounds the user was seen in the chats of these broadcasts (the sum of the differences between the last and the first round of each).
Edges first and last: the first and the last round at which the user was seen in a chat of the streamer (rounds of 10 minutes, numbered from 0 to 6148).

Tags

Social Online Preferences Weighted Metadata

Citation

J. Rappaz, J. McAuley, K. Aberer, "Recommendation on Live-Streaming Platforms: Dynamic Availability and Repeat Consumption." Proceedings of the 15th ACM Conference on Recommender Systems (RecSys), 390-399 (2021) 10.1145/3460231.3474267 Sci-Hub

Upstream URL OK

https://cseweb.ucsd.edu/~jmcauley/datasets.html#twitch
https://github.com/JRappaz/liverec

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
twitch_viewers	16,314,409	234,422,289	28.74	1577.76	2541.19	219.95	-0.08	0.00	12	1.00	Undirected	Bipartite	is_user user_id name	weight rounds first last	1.310 GiB	2.273 GiB	2.158 GiB	2.226 GiB