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@metacurity@infosec.exchange
2025-07-17 07:26:11

crikey.com.au/2025/07/17/clive
I don’t know enough about Australian politics but it sounds like the country’s version of the MAG…

@memeorandum@universeodon.com
2025-06-16 16:35:44

Young Graduates Are Facing an Employment Crisis (Wall Street Journal)
wsj.com/economy/jobs/jobs-unem
memeorandum.com/250616/p69#a25

@netzschleuder@social.skewed.de
2025-07-16 17:00:08

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

More than half of industries are already shedding workers,
a ‘telling’ sign that’s accompanied past recessions, top economist says
fortune.com/2025/08/10/recessi

@trochee@dair-community.social
2025-07-09 03:42:21

Just learned about NYC Local Law 144 which requires bias audits for hiring decisions
nyc.gov/site/dca/about/automat
(From younger, more principled brother; happy birthday dkg!)
I am really interes…

@karlauerbach@sfba.social
2025-08-15 10:34:13

Why don't a large number of good-minded people take DHS/ICE up on its employment give-away, go through the training, collect the $$, and then simply do nothing until they are fired?
In other words, dilute ICE, drain their money, and gum up their works - from the inside.

@benb@osintua.eu
2025-07-02 10:21:54

Ukrainian Migrants: Spending, Employment, and Impact on Host Country Economies: benborges.xyz/2025/07/02/ukrai

@arXiv_csSE_bot@mastoxiv.page
2025-08-14 09:00:52

Inclusive Employment Pathways: Career Success Factors for Autistic Individuals in Software Engineering
Orvila Sarker, Mona Jamshaid, M. Ali Babar
arxiv.org/abs/2508.09680

@arXiv_statME_bot@mastoxiv.page
2025-08-15 09:50:32

Does fertility affect woman's labor force participation in low- and middle-income settings? Findings from a Bayesian nonparametric analysis
Lucas Godoy Garraza, Leontine Alkema
arxiv.org/abs/2508.10787

@cheryanne@aus.social
2025-05-31 00:50:18

Support 4 Employment Podcast
Great Australian Pods Podcast Directory: #GreatAusPods

Support 4 Employment Podcast
Screenshot of the podcast listing on the Great Australian Pods website
@arXiv_econGN_bot@mastoxiv.page
2025-06-17 10:06:41

Inequality's Economic and Social Roots: the Role of Social Networks and Homophily
Matthew O. Jackson
arxiv.org/abs/2506.13016

@netzschleuder@social.skewed.de
2025-08-13 20:00:18

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
@doktrock@toad.social
2025-06-03 15:12:14

Surface Geologist 🚨Job opening🚨 #NorthDakota Geological Survey #geology
Field mapping of glacial sediments or sedimentary rock, geologic hazards (landslide) mapping, interpreting aerial and satellite imagery, etc.

@inthehands@hachyderm.io
2025-07-07 04:14:00

And the most recent jobs report has many hints that ICE is indeed having that desired effect: in an otherwise stagnant or contracting labor market, there was job group in leisure and hospitality, private health care, and (somewhat less) construction — all job markets with a concentration of immigrant labor.
I am not an economist and this is not a proper analysis — grain of salt, please! — but a quick skim of these stats is at least superficially consistent with a good chunk of current job growth coming from decreased immigrant participation in the labor force.
bls.gov/ces/publications/highl
2/

@fell@ma.fellr.net
2025-06-12 08:28:11

Anyone with #ADHD or #ADD out there?
Does your work involve a computer with internet access?
How do you manage distractions?
How do you resist the impulse to go on hour long yak shaving tangents all the time?
I'm serious. It's gotten to a point where it threatens my employment.

@arXiv_mathHO_bot@mastoxiv.page
2025-06-10 08:25:02

Meaning as Use, Application, Employment, Purpose, Usefulness
Ruy J. G. B. de Queiroz
arxiv.org/abs/2506.07131 arxiv.o…

On Aug. 1, shortly after the Bureau of Labor Statistics released a surprisingly weak employment report,
the conservative economist E.J. Antoni joined Steve Bannon’s influential “War Room” podcast.
“Have we put in our own person into B.L.S.?” Mr. Bannon asked Dr. Antoni.
“Is a MAGA Republican, that President Trump knows and trusts, are they running the Bureau of Labor Statistics yet?”
“No, unfortunately, Steve, we still haven’t gotten there,” Dr. Antoni replied,
go…

@arXiv_csCL_bot@mastoxiv.page
2025-07-03 10:02:40

LLMs for Legal Subsumption in German Employment Contracts
Oliver Wardas, Florian Matthes
arxiv.org/abs/2507.01734 arx…

@netzschleuder@social.skewed.de
2025-06-15 23:00:05

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
@arXiv_qfinST_bot@mastoxiv.page
2025-07-04 08:57:51

Forecasting Labor Markets with LSTNet: A Multi-Scale Deep Learning Approach
Adam Nelson-Archer, Aleia Sen, Meena Al Hasani, Sofia Davila, Jessica Le, Omar Abbouchi
arxiv.org/abs/2507.01979

@lilmikesf@c.im
2025-07-09 23:05:54

Over 160 indigent Bangladeshi would-be #guestworkers arrive back home in #Dhaka after terrible extortion experience seekng employment in #Libya.
They reported being held captive, extorted by traffickers who demanded large sums …

@Mediagazer@mstdn.social
2025-06-04 14:35:50

An analysis of 61 settlements signed by Channel 4 staff who left amid employment disputes between 2017 and 2021 shows it paid out ~£5M and all but two had NDAs (Jake Kanter/Deadline)
deadline.com/2025/06/channel-4

@timbray@cosocial.ca
2025-06-30 17:05:25

Go is 80/20 language: blog.kowalczyk.info/article/d-
Good piece, a bit misleading on a couple of Go details but essentially right I think. I spent my last 20 years of employment working in Java-heavy …

@gerald_leppert@bonn.social
2025-08-02 11:35:46

New paper published! ➡️ Climate change adaptation preferences of small enterprises
Vulnerable entrepreneurs’ preferences for climate risk management: A discrete choice experiment with micro-enterprises in the Philippines
Authors: #AnnKristin_Becker @…

@memeorandum@universeodon.com
2025-08-04 03:10:35

Trump Claims the Jobs Report Was Rigged. Was It? (Allysia Finley/Wall Street Journal)
wsj.com/opinion/trump-claims-t
memeorandum.com/250803/p72#a25

@netzschleuder@social.skewed.de
2025-08-13 04:00:04

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
@karlauerbach@sfba.social
2025-08-02 00:48:53

I wonder - what if companies around the US adopted and publicized a hiring policy such as the following:
We <company name> require that all employees exercise good judgement. We <company name> have concluded that prior employment with ICE is irrebuttable proof of bad judgement. As a consequence we <company name> will not hire any candidate for employment who has previously worked for, consulted with, or otherwise been associated with ICE.

@dichotomiker@dresden.network
2025-08-03 01:52:36

"Youth bulges tend to be politically destabilizing, because a sudden increase of new worker entry into the labor force tends to depress their employment prospects and wages" [1]
- Abschlussjahr der Wendekinder 1990 6 Kita 10±2 Schule 9±3 Ausb. = 2015±5, Aufstieg dar AfD
"Elite overproduction, presence of more elites and elite aspirants than the society can provide positions for, is inherently destabilizing. […] [I]ntraelite competition drives up conspicuous c…

@inthehands@hachyderm.io
2025-07-07 04:16:43

But that’s not the endpoint. Oh no.
In a move alarmingly close to outright chattel slavery, there is talk of ICE capturing immigrants and then •selling them back to their former employers•, presumably under much-worsened employment conditions.
heathercoxrichardson.substack.
3/

At various times Trump has invoked, and lost, both presidential immunity and Westfall immunity.
The Westfall Act says that the US is responsible for any govt employee’s tort within the scope of his/her employment.
skywriter.blue/pages/did:plc:v

@arXiv_econGN_bot@mastoxiv.page
2025-07-14 08:46:12

Advancing AI Capabilities and Evolving Labor Outcomes
Jacob Dominski, Yong Suk Lee
arxiv.org/abs/2507.08244 arxiv.org…

@arXiv_condmatquantgas_bot@mastoxiv.page
2025-06-11 08:45:45

Wave-function microscopy: Derivation and anatomy of exact algebraic spinful wave functions and full Wigner-molecular spectra of a few highly correlated rapidly rotating ultracold fermionic atoms
Constantine Yannouleas, Uzi Landman
arxiv.org/abs/2506.08145

@saraislet@infosec.exchange
2025-07-24 14:51:20

I have extended thoughts on a few nuances of burnout, resilience, and employment
Before taking time off for burnout, my skip manager reminded me to read the strongly positive 360 feedback from my reports. That's both a shallow and a deep reinforcement of resilience, first and foremost by rebuilding and grounding self-confidence. Reading positive feedback provides evidence that I'm capable and effective at my job.
Beyond self-confidence, I have other needs in a workplace, …

@doktrock@toad.social
2025-06-26 18:28:17

Tenure-track Assistant Professor and Curator in #Mineralogy at Natural History Museum #Denmark #geology

@netzschleuder@social.skewed.de
2025-06-12 08:00:04

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
@cjust@infosec.exchange
2025-07-29 00:53:50

A good friend of mine has the Muppet character "Beaker" as his avatar. For reasons.
He offers me advice. I offer him advice. We chat. These are #ChatsWithBeaker

-> Now have an offer letter
-> HO-HO-HO

<- That's awesome
<- Any word on the hookers and blow per diem?

->  reading the letter now. give me a few.
-> this line will never stop being funny to me....
-> Your employment is expressly conditional upon the successful completion of
-> a satisfactory
-> background check and the return of satisfactory references, as may be
-> appropriate. If the
-> results of the background check or references are not satisfactory to
-> then this
-> agreement will be …
@newsie@darktundra.xyz
2025-06-06 12:33:47

DOJ moves to claim $7.74 million tied to North Korean IT worker scheme therecord.media/north-korea-it

@arXiv_physicssocph_bot@mastoxiv.page
2025-06-25 07:59:19

Gender Imbalance in Physics Education and Employment in Germany: Trends and Challenges
Ruzin Aganoglu, Andrea Bossmann, Ulrike B\"ohm, Anja Metzelthin, Agnes Sandner, Iris Traulsen, Angelica Zacarias
arxiv.org/abs/2506.19021

Trump’s appeal of EJ Carroll’s $83.3 million defamation verdict against him is set for oral argument June 24
Trump & DOJ have jointly moved to postpone
This case involves alleged defamations in 2019, when Trump was president.
At various times Trump has invoked, and lost,
both presidential immunity and "Westfall immunity".
The Westfall Act says that the US is responsible for any govt employee’s tort within the scope of his/her employment

@arXiv_csHC_bot@mastoxiv.page
2025-07-01 08:10:33

Insights in Adaptation: Examining Self-reflection Strategies of Job Seekers with Visual Impairments in India
Akshay Nayak Kolgar, Yash Prakash, Sampath Jayarathna, Hae-Na Lee, Vikas Ashok
arxiv.org/abs/2506.22741

@netzschleuder@social.skewed.de
2025-06-15 08:00:06

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
@arXiv_csCY_bot@mastoxiv.page
2025-06-02 09:56:36

This arxiv.org/abs/2505.18893 has been replaced.
initial toot: mastoxiv.page/@arXiv_csCY_…

@tiotasram@kolektiva.social
2025-06-21 05:46:51

Why AI can't possibly make you more productive; long
Addendum: for those in tech specifically, despite what it might seem like, now is an excellent time to be organizing a union in your workplace. In the current social order, it's one of the only & best ways to have any say in the upcoming AI employment debacles, and the solidarity that the organizing process engenders is amazing.

@netzschleuder@social.skewed.de
2025-08-14 18:00:09

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
@memeorandum@universeodon.com
2025-06-05 15:05:57

Supreme Court makes it easier to claim 'reverse discrimination' in employment, in a case from Ohio (Mark Sherman/Associated Press)
apnews.com/article/supreme-cou
memeorandum.com/250605/p54#a25

@lilmikesf@c.im
2025-07-03 12:09:52

Paycheck processor #ADP release grim data ahead of July 4th showing over 30,000 jobs lost across private employers in #USA.
While described as " a surprise move in the wrong direction" , I'm personally very #unsurprised

 GRADS ARE UNEMPLOYED, NEW RESEARCH SHOWS
Let the golden age begin. Private-Sector Payrolls Drop I ADP employment report shows 2025 drop in US Private Payrolls "Unexpectedly" Declining in June The ADP data reflected a drop in services payrolls that may raise concerns about a more pronounced labor market slowdown.
@arXiv_csSE_bot@mastoxiv.page
2025-07-04 08:13:11

How do Software Engineering Candidates Prepare for Technical Interviews?
Brian Bell, Teresa Thomas, Sang Won Lee, Chris Brown
arxiv.org/abs/2507.02068

@arXiv_csIT_bot@mastoxiv.page
2025-06-27 07:41:18

Semantic-aware Digital Twin for AI-based CSI Acquisition
Jiajia Guo, Yiming Cui, Shi Jin
arxiv.org/abs/2506.21126 arx…

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

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
@arXiv_econGN_bot@mastoxiv.page
2025-08-07 08:44:14

Exports, Labor Markets, and the Environment: Evidence from Brazil
Carlos G\'oes, Otavio Concei\c{c}\~ao, Gabriel Lara Ibarra, Gladys Lopez-Acevedo
arxiv.org/abs/2508.03855

@newsie@darktundra.xyz
2025-06-06 14:38:53

OpenAI takes down ChatGPT accounts linked to state-backed hacking, disinformation therecord.media/openai-takes-d

@arXiv_csHC_bot@mastoxiv.page
2025-07-01 10:37:43

Accessible Data Access and Analysis by People who are Blind or Have Low Vision
Samuel Reinders, Munazza Zaib, Matthew Butler, Bongshin Lee, Ingrid Zukerman, Lizhen Qu, Kim Marriott
arxiv.org/abs/2506.23443

@smurthys@hachyderm.io
2025-08-02 02:41:59

May's #employment gain of 144K revised down BY 125K; June's 147K down BY 133K.
That's BY; not TO.
#Labor numbers are often revised but this seems too much, and it fuels distrust. Hard to believe it's incompetence or some freaky coincidence.
#uspol #usa #jobs #stats

@netzschleuder@social.skewed.de
2025-08-04 23:00:13

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
@inthehands@hachyderm.io
2025-06-20 02:53:01

Whatever’s going on in the employment market, it feels like there’s some kind of fever that needs to break — as bubbles bursting, as a recession, •something• — and it’s only after it does that in hindsight we’ll have some measure of clarity.

@arXiv_physicssocph_bot@mastoxiv.page
2025-06-06 07:35:43

What does making money have to do with crime?: A dive into the National Crime Victimization survey
Sydney Anuyah
arxiv.org/abs/2506.04240

Researchers at security giant CrowdStrike say they have seen hundreds of cases where
North Koreans posing as remote IT workers have infiltrated companies to generate money for the regime,
marking a sharp increase over previous years.
Per CrowdStrike’s latest threat-hunting report,
the company has identified more than 320 incidents over the past 12 months,
up by 220% from the year earlier,
in which North Koreans gained fraudulent employment at Western compa…

@arXiv_econGN_bot@mastoxiv.page
2025-07-01 08:40:53

Digital Transformation and the Restructuring of Employment: Evidence from Chinese Listed Firms
Yubo Cheng
arxiv.org/abs/2506.23230

@arXiv_csCY_bot@mastoxiv.page
2025-05-30 09:51:21

This arxiv.org/abs/2410.23394 has been replaced.
initial toot: mastoxiv.page/@arXiv_csCY_…

@netzschleuder@social.skewed.de
2025-07-12 22:00:09

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

Trump orders two nuclear submarines moved near Russia
after ‘foolish and inflammatory statements’ from Medvedev – live
US president says his decision comes after the former Russian president said Trump should remember Moscow had Soviet-era nuclear strike capabilities

@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

Trump is ‘killing jobs and jacking up prices’, Democrats say,
as global markets fall over tariff turmoil – US politics live
Senate minority leader Jeffreys says
‘chickens are coming home to roost for Trump’
amid markets slump and meagre job growth figures
🔸Trump signs order increasing tariffs on Canadian goods
🔸Full list of new tariff rates

@arXiv_csCY_bot@mastoxiv.page
2025-05-30 09:52:55

This arxiv.org/abs/2505.18893 has been replaced.
initial toot: mastoxiv.page/@arXiv_csCY_…

@buercher@tooting.ch
2025-08-01 22:29:00

Donald Trump fired the federal government official in charge of labor statistics, hours after data revealed jobs growth stalled this summer. The US president claimed that Erika McEntarfer, had “faked” employment figures in the run-up to last year’s election, in an effort to boost Kamala Harris’s chances of victory.
Trump later claimed: “Today’s Jobs Numbers were RIGGED in order to make the Republicans, and ME, look bad.“
theguardian.com/us-news/2025/a

@netzschleuder@social.skewed.de
2025-07-29 04:00:15

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
2025-06-02 23:00:03

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
2025-08-10 02:00:06

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
@lilmikesf@c.im
2025-06-08 17:04:31

Overall #California officially tallies over 30,000 total job losses in first 4 months of year as #DJT admin economic policies took effect. Steepest #federal #employment

@arXiv_statAP_bot@mastoxiv.page
2025-06-18 10:24:24

A statistical framework for dynamic cognitive diagnosis in digital learning environments
Yawen Ma, Anastasia Ushakova, Kate Cain, Gabriel Wallin
arxiv.org/abs/2506.14531

@netzschleuder@social.skewed.de
2025-05-31 21:00:04

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
2025-08-08 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
2025-06-19 11:00:14

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
@arXiv_econGN_bot@mastoxiv.page
2025-07-31 09:01:11

How Exposed Are UK Jobs to Generative AI? Developing and Applying a Novel Task-Based Index
Golo Henseke, Rhys Davies, Alan Felstead, Duncan Gallie, Francis Green, Ying Zhou
arxiv.org/abs/2507.22748

@netzschleuder@social.skewed.de
2025-06-26 14:00:05

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
2025-06-04 20:00:09

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
@arXiv_econGN_bot@mastoxiv.page
2025-05-28 10:14:25

This arxiv.org/abs/2505.04555 has been replaced.
initial toot: mastoxiv.page/@arXiv_eco…

@netzschleuder@social.skewed.de
2025-08-03 23:00:09

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
2025-07-04 05:00:08

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
2025-06-18 10:00:04

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 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
2025-06-03 06:00:09

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
2025-05-30 11:00:09

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
2025-05-30 11:00:09

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
2025-07-23 17:00:05

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
2025-07-22 03:00:06

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
2025-06-20 16:00:06

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
2025-06-18 09:00:07

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