Network visualization: Mastodon Instances - Hashtags
- 2 284 #Mastodon instances from https://fediverse.network/mastodon
- 2 000 public Toots (API) per instance
- Hashtags of those Toots
Network visualization: Mastodon Instances - Hashtags
- 2 284 #Mastodon instances from https://fediverse.network/mastodon
- 2 000 public Toots (API) per instance
- Hashtags of those Toots
Core of the hashtag network. Instances are white with fixed size, hashtags colored and size by number of uses.
Most used #hashtags in the collected Toots:
#mastodon 2 825
#nowplaying 2 130
#drawing 1733
#qanon 1356
#気象警報注意報 1283
#vape 1154
#vegan 1067
#funkwhale 966
#introductions 785
#openstreetmap 760
#電子タバコ 753
#photography 722
#fediverse 618
Interactive Mastodon Hashtag Network: https://lucahammer.at/vis/fediverse/2018-08-29-mastoverse_hashtags/
You can search for hashtags and instances.
Clicking on a #hashtag shows the instances it was recently used on.
Clicking on a instance shows the hashtags that were recently used there.
I found some problems in yesterdays data. Primarily caused by a bug in the code (same Toots were collected over and over). I updated the Gist with the fixed code. https://gist.github.com/lucahammer/8e31fa100446c3b7c783a00bd006003a
For todays run I used my own list of #mastodon instances which I collected for the #fediverse visualization: https://vis.social/@Luca/100606625507856187
Python script to generate a GDF for Gephi to visualize the Mastodon Hashtag Network https://vis.social/web/statuses/100634263439065513 - mastodon-hashtag-network.py
#Hashtags used by most instances:
#mastodon 204
#introductions 171
#introduction 132
#linux 104
#music 96
#nowplaying 92
#art 83
#fediverse 82
#twitter 73
#android 72
#privacy 67
#facebook 66
#peertube 61
#opensource 59
#ff 55
#google 54
#security 54
#youtube 53
#cats 52
#firefox 50
#gaming 50
#python 50
#np 50
#gdpr 48
#foss 48
#javascript 47
#photography 47
#programming 45
#cat 45
#ubuntu 45
#mastoart 44
#history 44
#podcast 43
#science 43
#books 41
#activitypub 40
#github 40
Instances highest hashtag density:
https://route66.social 17922
https://unnerv.jp 8532
https://equestria.social 8513
https://social.homunyan.com 7566
https://s2.libera.blue 6989
https://assortedflotsam.com 5622
https://www.frei.social 5574
https://frei.social 5574
https://mastodon.dc919.org 4627
https://diaspodon.fr 4468
https://akashiensis.com 4393
https://photog.social 4238
https://bonn.social 3634
https://s10y.eu 3597
https://qoto.org 3563
https://baraag.net 3384
Instances by most diverse hashtag usage:
https://route66.social 3233
https://bonn.social 1672
https://s10y.eu 1669
https://assortedflotsam.com 1664
https://social.tchncs.de 1561
https://diaspodon.fr 1521
https://social.coop 1323
https://toot.chat 1059
https://baraag.net 1058
https://fosstodon.org 1058
https://mastodon.technology 1003
https://occitanie.social 986
https://mastodon.social 985
https://sunbeam.city 943
https://photog.social 926
https://www.frei.social 899
Updated version of the Interactive
Mastodon Hashtag Network.
Warning: 10MB. Desktop computer recommended.
https://lucahammer.at/vis/fediverse/2018-08-30-mastoverse_hashtags/