eventernote — Japanese idol and voice actor events (Eventernote, 1980-2024)

Description

A bipartite network of Japanese idols, voice actors and other artists, and the events they took part in (concerts, release events, stage greetings, broadcasts, etc.), from Eventernote, a crowdsourced Japanese website that lists such events, as collected for XGI-data. Events span from July 1980 to April 2024; an event of several days is split into one event per day. An artist node is either an individual artist or a group of artists (e.g. an idol group); individuals and their groups are distinct nodes, and which artists belong to which groups is not given. The data list 5,381 artists without any event, which are isolated nodes.

XGI-data also distributes a bipartite network of the artists and the places of their events; it is not included as a separate network, since it follows from this one (the places are given as properties of the events).

The network has the following properties:

is_event: whether the node is an event (otherwise an artist).
eventernote_id: the identifier of the artist or event on Eventernote (e.g. https://www.eventernote.com/actors/<id> or https://www.eventernote.com/events/<id>).
Artists: name, the name of the artist or group; kana, the reading of the name in kana; sex, female, male, or other (non-binary, not specified or not applicable, e.g. for groups).
Events: name, the name of the event; date, the date of the event (YYYY-MM-DD); time, the same date in Unix time (midnight UTC); place_id, the Eventernote identifier of the place of the event (https://www.eventernote.com/places/<id>; -1 if unknown); place_name, the name of the place; prefecture, the prefecture of the place, as its ISO 3166-2:JP code (1 for Hokkaido to 47 for Okinawa; 0 if the prefecture of a known place is not given, 90 for places outside Japan, and -1 for events without a known place).

Tags

Social Offline Affiliation Unweighted Timestamps Metadata

Citation

N. W. Landry, M. Lucas, I. Iacopini, G. Petri, A. Schwarze, A. Patania, L. Torres, "XGI: A Python package for higher-order interaction networks." Journal of Open Source Software 8(85), 5162 (2023) 10.21105/joss.05162 Sci-Hub

Upstream URL OK

https://www.eventernote.com/
https://zenodo.org/records/21917912
https://zenodo.org/records/21917851
https://github.com/xgi-org/xgi-data

Upstream license

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

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
eventernote	427,803	2,076,182	9.71	38.53	121.06	568.06	-0.25	0.00	25	0.98	Undirected	Bipartite	is_event eventernote_id name kana sex date time place_id place_name prefecture		16.3 MiB	24.5 MiB	23.6 MiB	29.7 MiB

Ridiculograms^*

^* These are automatically generated force-directed visualizations, and can be quite meaningless for networks both big and small. They should not be taken seriously as sources of scientific insight. See here for a discussion.