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@netzschleuder@social.skewed.de
2025-08-31 00:00:09

dbpedia_recordlabel: DBpedia artist-label affiliations
Bipartite networks of the affiliations (contractual relations) between artists and the record labels under which they have performed, as extracted from Wikipedia by the DBpedia project.
This network has 186758 nodes and 233286 edges.
Tags: Economic, Employment, Unweighted

dbpedia_recordlabel: DBpedia artist-label affiliations. 186758 nodes, 233286 edges. https://networks.skewed.de/net/dbpedia_recordlabel

dbpedia_recordlabel — DBpedia artist-label affiliations
Bipartite networks of the affiliations (contractual relations) between artists and the record labels under which they have performed, as extracted from Wikipedia by the DBpedia project.

@cdarwin@c.im
2025-08-31 00:04:56

Luskentyre Beach on the Isle of Harris is one of the many beautiful beaches in Scotland
mirror.co.uk/travel/ive-travel

'I've travelled world with David Attenborough but one of my top places is on our doorstep'
Chadden Hunter has spent the last 25 years travelling the world with the likes of Sir David Attenborough and has visited some of the most remote and beautiful places on the planet

@Techmeme@techhub.social
2025-06-29 23:11:23

Spinwheel, which helps fintech companies and banks authenticate users, automate data retrieval, and facilitate payments, raised a $30M Series A led by F-Prime (Ryan Lawler/Axios)
axios.com/pro/fintech-deals/20

Exclusive: Spinwheel raises $30M to streamline debt management
Debt management remains fragmented and difficult to connect

@benb@osintua.eu
2025-08-30 13:07:56

Ukraine destroys underground explosives depot in western Russia, intelligence source claims: benborges.xyz/2025/08/30/ukrai

Tracking information about the Russian War against Ukraine — Support the OSINT Ukraine Archive the 🇷🇺 War against Ukraine 🇺🇦
Tracking information about the Russian War against Ukraine

@rmdes@mstdn.social
2025-07-30 15:37:15

Débat de 2023 sur les victimes de sectes, de l’emprise Š la reconstruction. Quels sont les mécanismes Š l'oeuvre, comment identifier le discours sectaire, comment trouver de l'aide pour s'en sortir et se reconstruire ? chardonsbleus.org/debat-victim

@netzschleuder@social.skewed.de
2025-08-31 04:00:08

dbpedia_genre: DBpedia work-genre network
A bipartite network of the affiliations between artists and their works on one side and genre classifications on the other, as extracted from Wikipedia by the DBpedia project. The date of this snapshot is uncertain.
This network has 266717 nodes and 463497 edges.
Tags: Informational, Relatedness, Unweighted

dbpedia_genre: DBpedia work-genre network. 266717 nodes, 463497 edges. https://networks.skewed.de/net/dbpedia_genre

dbpedia_genre — DBpedia work-genre network
A bipartite network of the affiliations between artists and their works on one side and genre classifications on the other, as extracted from Wikipedia by the DBpedia project. The date of this snapshot is uncertain.

@cdarwin@c.im
2025-06-30 05:08:37

Senate Republicans seek to vote on Trump’s massive tax bill Monday

The Senate version of the bill would cause the national debt to soar by $3 trillion,
-- even more than previous estimates,
according to newly released projections.
washingtonpost.com/p…

Senate rushes to pass Trump’s tax bill, as cost tops $3 trillion
The legislation would cause the national debt to soar even more than previous estimates, according to new projections released Sunday.

@netzschleuder@social.skewed.de
2025-06-29 07:00:07

dbpedia_location: DBpedia entity-location network
A bipartite network of the affiliations between named entities from Wikipedia and particular notable locations, as extracted from Wikipedia by the DBpedia project. The date of this snapshot is uncertain.
This network has 225498 nodes and 293697 edges.
Tags: Informational, Relatedness, Unweighted

dbpedia_location: DBpedia entity-location network. 225498 nodes, 293697 edges. https://networks.skewed.de/net/dbpedia_location

dbpedia_location — DBpedia entity-location network
A bipartite network of the affiliations between named entities from Wikipedia and particular notable locations, as extracted from Wikipedia by the DBpedia project. The date of this snapshot is uncertain.

@netzschleuder@social.skewed.de
2025-06-01 01:00:14

dbpedia_team: DBpedia athlete-team affiliations
Bipartite network of the affiliations (employment relations) between professional athletes and their teams, as extracted from Wikipedia by the DBpedia project.
This network has 935627 nodes and 1366466 edges.
Tags: Economic, Employment, Unweighted
netwo…

dbpedia_team: DBpedia athlete-team affiliations. 935627 nodes, 1366466 edges. https://networks.skewed.de/net/dbpedia_team

dbpedia_team — DBpedia athlete-team affiliations
Bipartite network of the affiliations (employment relations) between professional athletes and their teams, as extracted from Wikipedia by the DBpedia project.

@netzschleuder@social.skewed.de
2025-06-30 04:00:06

dbpedia_genre: DBpedia work-genre network
A bipartite network of the affiliations between artists and their works on one side and genre classifications on the other, as extracted from Wikipedia by the DBpedia project. The date of this snapshot is uncertain.
This network has 266717 nodes and 463497 edges.
Tags: Informational, Relatedness, Unweighted

dbpedia_genre: DBpedia work-genre network. 266717 nodes, 463497 edges. https://networks.skewed.de/net/dbpedia_genre

dbpedia_genre — DBpedia work-genre network
A bipartite network of the affiliations between artists and their works on one side and genre classifications on the other, as extracted from Wikipedia by the DBpedia project. The date of this snapshot is uncertain.