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@Techmeme@techhub.social
2026-02-19 07:21:01

A study of 12K EU companies finds AI adoption increases labor productivity by 4% on average in the EU, with no evidence of reduced employment in the short run (CEPR)
cepr.org/voxeu/columns/how-ai-

@memeorandum@universeodon.com
2025-12-20 01:46:04

Equal Employment Opportunity Commission head asks white men to report discrimination (Sarah Dean/NBC News)
nbcnews.com/politics/trump-adm
memeorandum.com/251219/p110#a2

@netzschleuder@social.skewed.de
2025-12-20 03:00:15

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
@primonatura@mstdn.social
2026-01-19 13:00:44

"Solar accounted for 7.24 million jobs in 2024"
#SolarPower #Energy #Renewables

@jorgenpt@mastodon.gamedev.place
2025-12-19 20:21:35

I will be looking for new employment in 2026 — it’s been a great 4 years with Spry Fox, but I am ready to explore something new.
If you have any eng roles you think I’d be suited for, please let me know!
Game dev, developer tooling & infrastructure, Rust, or something completely different — I have 15 years of experience, including Unreal/Unity/custom engines (both engine level and gameplay), Linux/macOS/Windows/consoles, and generally just jumping on any problem impacting …

@netzschleuder@social.skewed.de
2026-02-19 02:00:04

facebook_organizations: Within-organization Facebook friendships (2013)
Six networks of friendships among users on Facebook who indicated employment at one of the target corporation. Companies range in size from small to large. Only edges between employees at the same company are included in a given snapshot.
This network has 5793 nodes and 45266 edges.
Tags: Social, Online, Unweighted

facebook_organizations: Within-organization Facebook friendships (2013). 5793 nodes, 45266 edges. https://networks.skewed.de/net/facebook_organizations#L1

A survey of almost 6,000 corporate execs across the US, UK, Germany, and Australia found that
more than 80 percent detect no discernible impact from AI on either employment or productivity.
The study from the National Bureau of Economic Research (NBER) in Massachusetts is based on input from CFOs, CEOs, and executives at enterprises of different sizes across the four countries.
On average, 69 percent of businesses currently use some form of AI, and 75 percent expect to use …

@Mediagazer@mstdn.social
2025-12-18 00:50:51

Senators Warren and Blumenthal call on AG Bondi to recuse herself from reviewing the WBD deal due to her prior employment with lobbying firm Ballard Partners (Brian Stelter/CNN)
cnn.com/2025/12/17/media/warre

@netzschleuder@social.skewed.de
2025-12-19 04:00:09

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
@cjust@infosec.exchange
2026-01-16 16:52:19

#Shitpost #Shitposting #ShamelesslyStolenFromSomewhereElseOnTheInternetHonestlyICantKeepTrackOfThisStuffAnymore

The image is a graphic presenting data about job losses in the U.S. manufacturing sector. The background is a dark gray. The top of the image features text in white, bold font stating "BREAKING: The U.S. lost 68,000 manufacturing jobs last year in the wake of Trump's tariffs." Below this, smaller text reads "CUMULATIVE CHANGE IN MANUFACTURING EMPLOYMENT, 2025."

The main visual element is a line graph illustrating a decline. The graph's y-axis, labeled in white, indicates cumulative change in m…
@zachleat@zachleat.com
2026-01-13 16:36:03

if you want stable and reliable software, give developers stable and reliable employment

@memeorandum@universeodon.com
2025-12-17 18:05:53

Trump and Vance give the economy high marks -- the numbers say otherwise (Philip Bump/MS NOW)
ms.now/opinion/trump-jobs-empl
memeorandum.com/251217/p82#a25

US private payrolls unexpectedly declined in November, the ADP employment report showed on Wednesday.
Private employment decreased by 32,000 jobs last month
after an upwardly revised 47,000 increase in October.
Economists polled by Reuters had forecast private employment rising by 10,000 jobs after a previously reported 42,000 rebound in October.

@bencurthoys@mastodon.social
2025-12-14 08:16:41

quora.com/Why-do-some-still-cl

Screenshot of the above link
@netzschleuder@social.skewed.de
2025-12-16 04:00:14

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

Donald Trump this week touted his administration’s dramatic cuts to the federal workforce,
as remaining workers steeled themselves for another potential government shutdown — and more possible cuts — in the new year.
“Big news for the USA!” Trump wrote in a post on his social media site, over a graph that showed plummeting federal employment.
The post cited jobs numbers from earlier this month showing federal employment at its lowest in more than a decade,
down 271,000…

@netzschleuder@social.skewed.de
2026-01-15 21:00:12

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
@cjust@infosec.exchange
2026-02-13 02:15:27

This was from a veterinarians office, but
♫ to be fair ♪
this coulda been my old place of employment
#Shitpost #Shitposting

The image features a felt letter board placed on a dark, textured desk surface. The letter board, with a light brown wooden frame, displays a humorous message in black and yellow letters. The message reads: "IT HAS BEEN 0 DAYS WITHOUT POOP IN THE LOBBY RECORD 21 DAYS". The "0" is a yellow letter tile, while the "21" is also in yellow. The board is positioned to the right of the viewer, taking up a significant portion of the foreground.

To the left of the letter board, a wooden stand with a ric…
@cheryanne@aus.social
2026-02-05 20:59:47

Buhay Australia
Listen to information that will help improve health, housing, employment, visas and citizenship, Australian laws and more...
Great Australian Pods Podcast Directory: greataustralianpods.com/buhay-

Buhay Australia
Screenshot of the podcast listing on the Great Australian Pods website
@inthehands@hachyderm.io
2025-11-30 18:26:32

What @… said:
Providing employment after deployment = supporting troops
Providing housing = supporting troops
Destigmatizing mental health care = supporting troops
Preventing armed conflict = supporting troops
You know what’s NOT supporting troops? Starting wars as political cover for a failing president. Deploying National Guard just to terrorize people and provoke a backlash. Issuing illegal orders. •That• is not supporting troops.
hachyderm.io/@mekkaokereke/115

@gwire@mastodon.social
2026-02-09 10:16:56

For many years, any advertised contact email address on a company web page will receive *many* unsolicited employment enquires from people in India (ignoring the advertised recruitment process) which I suspect are automated, and I imagine AI tools will only increase this.

@memeorandum@universeodon.com
2026-02-04 00:46:01

ICE demanded Maine sheriff's employment records following his criticism of arrest (Bangor Daily News)
bangordailynews.com/2026/02/03
memeorandum.com/260203/p129#a2

@shriramk@mastodon.social
2026-01-31 12:43:31

What a paragraph. From
restofworld.org/2026/india-tec

India’s Ministry of Labour and Employment did not respond to multiple emails and phone calls from Rest of World. Nasscom, the industry lobby, did not respond to questions about worker treatment and stress. “AI is fundamentally reshaping the structure of work across sectors, but the current disruption is better understood as role compression and redesign rather than broad-based job elimination,” a Nasscom spokesperson said in an emailed statement. The new labor marketplace prioritizes senior rol…
@netzschleuder@social.skewed.de
2026-01-14 21:00:13

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
@finlaydag33k@social.linux.pizza
2026-01-02 14:13:47

Acquired a new phone for work.
Just need to get a new SIM card for it and tell my employer to update phone numbers in their system.
This way, I can have a better separation between work and private (Phone off -> I'm completely unavailable no real work-related apps on my private phone).
Sadly, "right to be unavailable" it's not (yet) in law in The Netherlands.
Luckily, my employment terms does have other clauses that effectively allow me to do this…

@netzschleuder@social.skewed.de
2026-02-18 10:00:06

dbpedia_starring: DBpedia film-actor network
A bipartite network of movies and the actors that played in them, as extracted from Wikipedia by the DBpedia project. The date of this snapshot is uncertain.
This network has 157184 nodes and 281396 edges.
Tags: Economic, Employment, Unweighted
network…

dbpedia_starring: DBpedia film-actor network. 157184 nodes, 281396 edges. https://networks.skewed.de/net/dbpedia_starring
@paulbusch@mstdn.ca
2026-01-03 13:17:56

Good Morning #Canada
Overnight news of Trump attacking another country in a blatant attempt to seize their resources should be a wakeup call for Canada. Does anyone here think a strike on Ottawa to remove the current government couldn't happen? Could the U.S. find a stooge willing to become the interim leader? How much oil, aluminum, uranium, hydropower or other resources would be looted before Trump strokes out from too many big macs. Yesterday I would have laughed at this scenario but today it starts to be less of a fantasy.
I glossed over this article when it was first published back in November but now I'm leaning towards support of developing a volunteer force in Canada. Perhaps a 2-year voluntary military service for our youth to provide employment and training. I don't want a volunteer military force to ever be used and hopefully it becomes a deterrent. But unfortunately a serious discussion is needed.
#CanadaIsAwesome #ElbowsUp
ctvnews.ca/canada/article/the-

@ruth_mottram@fediscience.org
2025-11-21 10:34:41

An evening discussing falling enrollment in #STEM courses at universities across Europe, especially traditional studies like chemistry, geology and meteorology. I wonder if young people are unaware of just how interesting #STEM careers to be? Or do they have the perception it's "too hard" compared to other subjects where easier grades may be had? Or is it simply they think they can have "better"* jobs in other fields?
#AcademicChatter
*Where better might mean higher paid, more prestigious, more certain of employment, or less workload or some combination of all of these... ?

@mgorny@social.treehouse.systems
2025-12-26 15:23:13

Living in a capitalist society makes me simultaneously hate and understand some things.
Back when the Sunday shopping ban was set in Poland by one of the right-wing parties (with some exceptions for petty capitalists, of course), I was outraged. Why are they forcing their religious customs on me?! But nowadays, I do realize that in a capitalist society, where employment laws are full of loopholes and employers explicitly punish employees for taking a day off, an obligatory no-business day is the only way.
On top of that, after living next to a supermarket for a few years… this is literally the only way to have a quiet day, without cars driving, and car doors slamming all the time. And of course night time deliveries, because you obviously can't lose day's business over such things.
And what I hate even more are these multi-day holidays and long weekends, where suddenly all my routine falls apart, and I can't really enjoy holidays while the train timetable is randomly punctuated. But then, I do realize that obligatory multi-day holidays are the only way for many people to simultaneously have a day off and be able to meet their families and friends.
I'm not really compatible with the world I'm living in.
#AntiCapitalism #ActuallyAutistic

@grumpybozo@toad.social
2026-01-22 22:49:27

The fact that Anthony has been looking for work for an extended period is an indictment of the whole IT employment scam. @… tilde.zone/@sirwumpus/11593973

In considering the extent and timing of additional adjustments to the target range for the federal funds rate,
the Committee will carefully assess incoming data, the evolving outlook, and the balance of risks.
The Committee is strongly committed to supporting maximum employment and returning inflation to its 2 percent objective.

@memeorandum@universeodon.com
2025-12-26 19:25:45

Trump touts plummeting federal employment: 'Big news for the USA!' (Jordan Rubin/MS NOW)
ms.now/news/trump-touts-plumme
memeorandum.com/251226/p31#a25

@Mediagazer@mstdn.social
2026-02-03 06:45:45

An interview with Christopher Nolan about becoming president of the Directors Guild of America, labor negotiations, studios striking AI deals, and more (Katie Kilkenny/The Hollywood Reporter)
hollywoodreporter.com/business

@netzschleuder@social.skewed.de
2026-02-11 09:00:13

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
@newsie@darktundra.xyz
2026-01-29 17:58:24

French government agency fined nearly $6 million for data security failings therecord.media/france-travail

@kexpmusicbot@mastodonapp.uk
2025-12-27 09:41:04

🇺🇦 #NowPlaying on KEXP's #MechanicalBreakdown
Desmond Doom:
🎵 All I Want For Christmas Is Gainful Employment
#DesmondDoom
#Christmas)

@netzschleuder@social.skewed.de
2026-02-14 23:00:06

dbpedia_starring: DBpedia film-actor network
A bipartite network of movies and the actors that played in them, as extracted from Wikipedia by the DBpedia project. The date of this snapshot is uncertain.
This network has 157184 nodes and 281396 edges.
Tags: Economic, Employment, Unweighted
network…

dbpedia_starring: DBpedia film-actor network. 157184 nodes, 281396 edges. https://networks.skewed.de/net/dbpedia_starring

Trump says the job market is booming for U.S.-born.
-- The data doesn’t show it. 

Since the summer, Trump officials have been trumpeting the idea that job creation is booming for U.S.-born workers.
Trump said so, too, during a prime-time address last month aimed at assuaging Americans’ concerns about the economy

Trump administration officials also said recently that more than 2.5 million U.S.-born workers gained jobs in 2025
as 1 million immigrants left the workfor…

@Mediagazer@mstdn.social
2025-12-23 23:20:45

Comcast extends Mike Cavanagh's contract through January 1, 2029, and grants a ~$35M performance-based stock package; he's set to become co-CEO in January 2026 (Todd Spangler/Variety)
variety.com/2025/tv/news/comca

@netzschleuder@social.skewed.de
2026-01-09 18:00:04

facebook_organizations: Within-organization Facebook friendships (2013)
Six networks of friendships among users on Facebook who indicated employment at one of the target corporation. Companies range in size from small to large. Only edges between employees at the same company are included in a given snapshot.
This network has 1429 nodes and 32876 edges.
Tags: Social, Online, Unweighted

facebook_organizations: Within-organization Facebook friendships (2013). 1429 nodes, 32876 edges. https://networks.skewed.de/net/facebook_organizations#M1
@netzschleuder@social.skewed.de
2026-02-02 00:00:13

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
@netzschleuder@social.skewed.de
2026-01-02 12:00:16

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

The Associated Press has uncovered a pattern where Bangladeshi workers are enticed to Russia under false pretences of civilian employment, subsequently coerced into combat roles.
Many of these individuals faced threats of violence, imprisonment, or even death if they refused.

@netzschleuder@social.skewed.de
2026-02-13 22:00:10

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
@netzschleuder@social.skewed.de
2025-12-14 12:00:08

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

Some 10,109 doctoral-trained experts in science and related fields left their jobs last year
as Donald Trump dramatically shrank the overall federal workforce.
That exodus was only 3% of the 335,192 federal workers who exited last year
but represents 14% of the total number of Ph.D.s in science, technology, engineering, and math (STEM) or health fields employed at the end of 2024 as then-President Joe Biden prepared to leave office.
The numbers come from employment da…

@netzschleuder@social.skewed.de
2026-01-06 09:00:04

facebook_organizations: Within-organization Facebook friendships (2013)
Six networks of friendships among users on Facebook who indicated employment at one of the target corporation. Companies range in size from small to large. Only edges between employees at the same company are included in a given snapshot.
This network has 320 nodes and 2369 edges.
Tags: Social, Online, Unweighted

facebook_organizations: Within-organization Facebook friendships (2013). 320 nodes, 2369 edges. https://networks.skewed.de/net/facebook_organizations#S1
@netzschleuder@social.skewed.de
2026-02-13 04:00:09

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
@netzschleuder@social.skewed.de
2026-02-05 11:00:04

facebook_organizations: Within-organization Facebook friendships (2013)
Six networks of friendships among users on Facebook who indicated employment at one of the target corporation. Companies range in size from small to large. Only edges between employees at the same company are included in a given snapshot.
This network has 1429 nodes and 32876 edges.
Tags: Social, Online, Unweighted

facebook_organizations: Within-organization Facebook friendships (2013). 1429 nodes, 32876 edges. https://networks.skewed.de/net/facebook_organizations#M1

Donald Trump’s weaponization of the US department of justice
to focus on retribution against political foes,
on fulfilling Maga goals and on granting pardons for allies
has seen thousands of lawyers depart or be fired
and weakened investigations in civil rights, national security and other areas, say ex-prosecutors and legal experts.
Data compiled by the nonpartisan Justice Connection showed that overall DoJ employment has dropped by about 5,500 lawyers and non-…

@netzschleuder@social.skewed.de
2026-02-12 00:00:07

dbpedia_starring: DBpedia film-actor network
A bipartite network of movies and the actors that played in them, as extracted from Wikipedia by the DBpedia project. The date of this snapshot is uncertain.
This network has 157184 nodes and 281396 edges.
Tags: Economic, Employment, Unweighted
network…

dbpedia_starring: DBpedia film-actor network. 157184 nodes, 281396 edges. https://networks.skewed.de/net/dbpedia_starring
@netzschleuder@social.skewed.de
2026-01-02 00:00:04

facebook_organizations: Within-organization Facebook friendships (2013)
Six networks of friendships among users on Facebook who indicated employment at one of the target corporation. Companies range in size from small to large. Only edges between employees at the same company are included in a given snapshot.
This network has 165 nodes and 726 edges.
Tags: Social, Online, Unweighted

facebook_organizations: Within-organization Facebook friendships (2013). 165 nodes, 726 edges. https://networks.skewed.de/net/facebook_organizations#S2
@netzschleuder@social.skewed.de
2025-11-22 20:00:15

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
@netzschleuder@social.skewed.de
2025-12-23 20:00:14

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
@netzschleuder@social.skewed.de
2026-02-01 20:00:05

facebook_organizations: Within-organization Facebook friendships (2013)
Six networks of friendships among users on Facebook who indicated employment at one of the target corporation. Companies range in size from small to large. Only edges between employees at the same company are included in a given snapshot.
This network has 5524 nodes and 94219 edges.
Tags: Social, Online, Unweighted

facebook_organizations: Within-organization Facebook friendships (2013). 5524 nodes, 94219 edges. https://networks.skewed.de/net/facebook_organizations#L2
@netzschleuder@social.skewed.de
2025-12-21 15:00:13

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
@netzschleuder@social.skewed.de
2026-01-09 14:00:08

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
@netzschleuder@social.skewed.de
2026-01-26 01:00:05

facebook_organizations: Within-organization Facebook friendships (2013)
Six networks of friendships among users on Facebook who indicated employment at one of the target corporation. Companies range in size from small to large. Only edges between employees at the same company are included in a given snapshot.
This network has 3862 nodes and 87324 edges.
Tags: Social, Online, Unweighted

facebook_organizations: Within-organization Facebook friendships (2013). 3862 nodes, 87324 edges. https://networks.skewed.de/net/facebook_organizations#M2
@netzschleuder@social.skewed.de
2026-02-02 17:00:07

dbpedia_starring: DBpedia film-actor network
A bipartite network of movies and the actors that played in them, as extracted from Wikipedia by the DBpedia project. The date of this snapshot is uncertain.
This network has 157184 nodes and 281396 edges.
Tags: Economic, Employment, Unweighted
network…

dbpedia_starring: DBpedia film-actor network. 157184 nodes, 281396 edges. https://networks.skewed.de/net/dbpedia_starring
@netzschleuder@social.skewed.de
2026-02-02 15:00:09

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
@netzschleuder@social.skewed.de
2025-12-02 19:00:09

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
@netzschleuder@social.skewed.de
2025-12-01 00:00:06

dbpedia_starring: DBpedia film-actor network
A bipartite network of movies and the actors that played in them, as extracted from Wikipedia by the DBpedia project. The date of this snapshot is uncertain.
This network has 157184 nodes and 281396 edges.
Tags: Economic, Employment, Unweighted
network…

dbpedia_starring: DBpedia film-actor network. 157184 nodes, 281396 edges. https://networks.skewed.de/net/dbpedia_starring
@netzschleuder@social.skewed.de
2025-11-29 12:00:08

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
@netzschleuder@social.skewed.de
2025-11-28 11:00:08

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
@netzschleuder@social.skewed.de
2026-01-26 13:00:06

dbpedia_starring: DBpedia film-actor network
A bipartite network of movies and the actors that played in them, as extracted from Wikipedia by the DBpedia project. The date of this snapshot is uncertain.
This network has 157184 nodes and 281396 edges.
Tags: Economic, Employment, Unweighted
network…

dbpedia_starring: DBpedia film-actor network. 157184 nodes, 281396 edges. https://networks.skewed.de/net/dbpedia_starring
@netzschleuder@social.skewed.de
2026-01-24 15:00:09

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
@netzschleuder@social.skewed.de
2025-11-21 18:00:05

dbpedia_starring: DBpedia film-actor network
A bipartite network of movies and the actors that played in them, as extracted from Wikipedia by the DBpedia project. The date of this snapshot is uncertain.
This network has 157184 nodes and 281396 edges.
Tags: Economic, Employment, Unweighted
network…

dbpedia_starring: DBpedia film-actor network. 157184 nodes, 281396 edges. https://networks.skewed.de/net/dbpedia_starring
@netzschleuder@social.skewed.de
2025-12-21 18:00:05

dbpedia_starring: DBpedia film-actor network
A bipartite network of movies and the actors that played in them, as extracted from Wikipedia by the DBpedia project. The date of this snapshot is uncertain.
This network has 157184 nodes and 281396 edges.
Tags: Economic, Employment, Unweighted
network…

dbpedia_starring: DBpedia film-actor network. 157184 nodes, 281396 edges. https://networks.skewed.de/net/dbpedia_starring
@netzschleuder@social.skewed.de
2025-12-21 02:00:08

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