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@netzschleuder@social.skewed.de
2025-11-04 08:00:06

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

Ventura County Voluntary Organizations Active in Disaster ( #VCVOAD )
is a collaborative of nearly 50 local non-profit agencies,
faith-based organizations,
volunteer groups,
public institutions,
and private entities
dedicated to improving outcomes for people affected by disasters.
VC-VOAD helps communities respond to and recover from major disasters guided by our f…

@newsie@darktundra.xyz
2025-10-30 18:18:28

Diplomatic entities in Belgium and Hungary hacked in China-linked spy campaign therecord.media/belgium-hungar

@metacurity@infosec.exchange
2025-10-31 14:10:13

Don't be scared, but today's Metacurity is super-packed with frightening cyber developments you should know before you head out to trick and treat, including
--Google and Amazon used secret code to dodge data disclosure laws, investigation,
--Suspected Conti member extradited to US from Ukraine,
--FCC will vote to eliminate cyber reporting requirements for carriers,
--UNC6384 targeted Hungarian and Belgian diplomatic entities,
--Medusa creators reportedl…

@netzschleuder@social.skewed.de
2026-01-03 22:00:07

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
@netzschleuder@social.skewed.de
2026-01-01 19:00:16

dbpedia_all: DBpedia network (v3.6)
A network among all entries in DBpedia, a project that extracts structured information from Wikipedia. Nodes represent entities in DBpedia and an edge connects two entities based on DBpedia's notion of their relatedness. The data is extracted from the version 3.6 of the database.
This network has 3966924 nodes and 13820853 edges.
Tags: Informational, Relatedness, Unweighted, Multigraph

dbpedia_all: DBpedia network (v3.6). 3966924 nodes, 13820853 edges. https://networks.skewed.de/net/dbpedia_all
@grumpybozo@toad.social
2025-12-01 23:03:54
Content warning: legal (in MI) drugs

I hold out vain hope that the coming washout of marginal operators in the #Michigan #Cannabis sector when the wholesale tax goes in will help tighten up the entities that remain. Every year or so, I have to hunt down new CBN/Indica edibles that work for me (for sleep) because the manufacturers keep lettin…

@memeorandum@universeodon.com
2025-11-27 06:50:55

Alleged National Guard shooter worked with US government entities in Afghanistan, including CIA: Ratcliffe (Brooke Singman/Fox News)
foxnews.com/politics/alleged-n
memeorandum.com/251127/p2#a251

@benb@osintua.eu
2025-10-31 14:04:08

India's largest oil refiner reportedly buys Russian crude from non-sanctioned entities: benborges.xyz/2025/10/31/india

@netzschleuder@social.skewed.de
2025-11-04 05:00:17

dbpedia_country: Person-Country Affiliations (DBpedia, 2016)
A bipartite network of the affiliations between notable people and countries of the world, as extracted from Wikipedia via the DBpedia project. Countries include former countries, empires, kingdoms, and some country-like entities.
This network has 592414 nodes and 637134 edges.
Tags: Social, Affiliation, Unweighted

dbpedia_country: Person-Country Affiliations (DBpedia, 2016). 592414 nodes, 637134 edges. https://networks.skewed.de/net/dbpedia_country
@arXiv_csCL_bot@mastoxiv.page
2025-10-13 10:35:10

On the Representations of Entities in Auto-regressive Large Language Models
Victor Morand, Josiane Mothe, Benjamin Piwowarski
arxiv.org/abs/2510.09421

@netzschleuder@social.skewed.de
2025-11-30 15:00:17

dbpedia_all: DBpedia network (v3.6)
A network among all entries in DBpedia, a project that extracts structured information from Wikipedia. Nodes represent entities in DBpedia and an edge connects two entities based on DBpedia's notion of their relatedness. The data is extracted from the version 3.6 of the database.
This network has 3966924 nodes and 13820853 edges.
Tags: Informational, Relatedness, Unweighted, Multigraph

dbpedia_all: DBpedia network (v3.6). 3966924 nodes, 13820853 edges. https://networks.skewed.de/net/dbpedia_all
@GroupNebula563@mastodon.social
2025-12-29 10:42:19

alt text stolen from another variant of this meme posted by @… and modified to fit this version
tags and such: #VOTV #VOTVPosting

Calvin and Hobbes strip, but edited:
Panel 1:
(Calvin is using a record player as his dad walks into frame)
Dad: "Playing some VOTV? I'll show you something interesting."
Panel 2:
Dad: "The two types of entities are canon and non-canon. Furfur? Canon. Chime Guy? Non-canon. Grays? Canon. Poolwalker? Non-canon."
Calvin: "Yeah..."
Panel 3:
Dad: "Stolas? Canon. Looker? Non-canon."
Dad: "Despite being invisible, the Arirals are canon."
Panel 4:
(Calvin is in a dark room on his bed, unable to sleep w…
@groupnebula563@mastodon.social
2025-12-29 10:42:19

alt text stolen from another variant of this meme posted by @… and modified to fit this version
tags and such: #VOTV #VOTVPosting

Calvin and Hobbes strip, but edited:
Panel 1:
(Calvin is using a record player as his dad walks into frame)
Dad: "Playing some VOTV? I'll show you something interesting."
Panel 2:
Dad: "The two types of entities are canon and non-canon. Furfur? Canon. Chime Guy? Non-canon. Grays? Canon. Poolwalker? Non-canon."
Calvin: "Yeah..."
Panel 3:
Dad: "Stolas? Canon. Looker? Non-canon."
Dad: "Despite being invisible, the Arirals are canon."
Panel 4:
(Calvin is in a dark room on his bed, unable to sleep w…
@Techmeme@techhub.social
2025-11-24 23:30:44

Nvidia refuted accounting questions in a memo to analysts, saying "Unlike Enron, NVIDIA does not use Special Purpose Entities to hide debt and inflate revenue" (Tae Kim/Barron's Online)
barrons.com/articles/nvidia-st…

@thijs_lucas@norden.social
2025-10-24 07:27:30

Diese Arbeit von Janna H. Schulte an der #TUHH setzt sich mit den Stellplatzsatzungen in SH auseinander und bringt wichtige Punkte hervor:
- die Datenlage ist schwach
- Stellplatzsatzungen werden nicht sinnvoll hergeleitet
- Stellplatzsatzungen behindern Fortschritte im Verkehr
- Privatparkplätze werden aus Angst einer Überflutung des öffentlichen Raums gefordert, aber tatsächlich…

@arXiv_csHC_bot@mastoxiv.page
2025-10-07 10:22:32

NERVIS: An Interactive System for Graph-Based Exploration and Editing of Named Entities
Uro\v{s} \v{S}majdek, Ciril Bohak
arxiv.org/abs/2510.04971

@newsie@darktundra.xyz
2025-10-29 11:38:39

'Living off the land' allowed Russia-linked group to breach Ukrainian entities this summer therecord.media/russia-linked-

@gwire@mastodon.social
2025-10-27 13:19:15

I don't actually think there's an obligation (in the UK) for ISPs or AI companies to block content from sanctioned entities.
ISPs have an obligation to block "an internet service provided by a designated person" and a "person who provides a social media service" must take "reasonable steps to prevent content...". But AI services aren't ordinarily social media services.

U.S. Senator Mike Lee (R-UT) introduced dumb-ass legislation today
that would allow private entities to play at Pirates🏴‍☠️in the Caribbean
The "Cartel Marque and Reprisal Reauthorization Act"
authorizes felon-president Trump to commission American pirates,
under "letters of marque"
to seize property and persons on land or sea.
Representative Tim Bimbo Burchett (R-TN) introduced the House version of the legislation.

@Mediagazer@mstdn.social
2025-12-19 14:40:57

Memo: TikTok CEO Shou Zi Chew says ByteDance's US entities will retain direct control over core US revenue drivers, including ecommerce, ads, and marketing (Financial Times)
ft.com/content/7a778d46-8bf8-4

@steve@s.yelvington.com
2025-10-20 14:38:34

Voting is under way in Georgia for two seats on the utilities regulatory commission. Current GOP members are totally in the pocket of the entities they're supposed to be regulating.
energyandpolicy.org/georgia-ps

@arXiv_csAI_bot@mastoxiv.page
2025-10-10 10:29:49

Can Risk-taking AI-Assistants suitably represent entities
Ali Mazyaki, Mohammad Naghizadeh, Samaneh Ranjkhah Zonouzaghi, Amirhossein Farshi Sotoudeh
arxiv.org/abs/2510.08114

@tante@tldr.nettime.org
2025-12-12 19:10:07

RE: hci.social/@fasterandworse/115
We all know the pitch is just that you no longer have to write. They want to be the infrastructure for entities to "create content" (derogatory)

@Techmeme@techhub.social
2025-10-10 12:20:44

China bans TechInsights from working with or receiving data from Chinese entities, citing national security concerns, after a report on Huawei's Ascend AI chips (Dylan Butts/CNBC)
cnbc.com/2025/10/10/china-blac

Open-Access Scientific Game-Theory Paper Shows Religion Worth a Damn
Fear of supernatural PUNISHMENT can harmonize human societies with nature: an evolutionary game-theoretic approach
nature.com/articles/s41599-025

@grifferz@social.bitfolk.com
2025-10-16 17:26:17

Yeah! How hard would it be anyway to get thousands of volunteers who work on a completely free project to emulate these other commercial entities with full time employees who are making stuff that they sell for actual money? Just, like, commit to some schedule, folks! What? No, I can't use something else that suits me better. I like your thing.

@krispijn@social.sargasso.nl
2025-10-16 11:15:09

"If you’re thinking all of this looks a lot like Musk trying to juice his #Tesla sales numbers—and therefore his Tesla stock share price—by playing a shell game with his own companies, you’re not alone. It isn’t quite the same as the disastrous special purpose entities that ultimately brought energy company #Enron

@arXiv_csIR_bot@mastoxiv.page
2025-10-14 08:54:38

PairSem: LLM-Guided Pairwise Semantic Matching for Scientific Document Retrieval
Wonbin Kweon, Runchu Tian, SeongKu Kang, Pengcheng Jiang, Zhiyong Lu, Jiawei Han, Hwanjo Yu
arxiv.org/abs/2510.09897

@davidaugust@mastodon.online
2025-11-06 18:38:57

CFO Palantir talking about how they're working to make the various data streams of surveillance efficiently useful and remove the needle-in-a-haystack anonymity we have previously enjoyed. Awesome.
nytimes.com/2025/10/30/opinion

So if we walk outside of this room and enter Midtown Manhattan, we are under constant surveillance. It’s not all government surveillance, but there’s a relaxation that you can feel where you’re like: OK, but all of this surveillance is distributed across so many different public and private entities, and unless I am literally a terrorist, the odds that people are going to be constantly watching and scrutinizing me are very low.

But then the fear becomes: Well, if we have this incredible way to…
@netzschleuder@social.skewed.de
2025-12-30 07:00:16

dbpedia_country: Person-Country Affiliations (DBpedia, 2016)
A bipartite network of the affiliations between notable people and countries of the world, as extracted from Wikipedia via the DBpedia project. Countries include former countries, empires, kingdoms, and some country-like entities.
This network has 592414 nodes and 637134 edges.
Tags: Social, Affiliation, Unweighted

dbpedia_country: Person-Country Affiliations (DBpedia, 2016). 592414 nodes, 637134 edges. https://networks.skewed.de/net/dbpedia_country
@mcdanlj@social.makerforums.info
2025-11-08 03:41:42

Tonight, I'm drilling morse code POTA in Morse Walker with simulated callers at 22–30WPM, and I think for the first time I copied a 2x3 at 30 WPM on the first hearing ("WG0KTQ"), and copied some shorter 30WPM calls on the first hearing in 2-way pileups. Not reliably though, not even reliably without a pile-up!
Tomorrow afternoon, I expect to be in park US-6888, calling CQ at around 15WPM, aft…

@Cognessence@social.linux.pizza
2025-10-12 00:58:16

I don’t mean this presupposes belief in the actual existence of such entities or realities - but has anyone here experienced anything that unsettled their materialism?

@Techmeme@techhub.social
2025-12-19 14:30:55

Memo: TikTok CEO Shou Zi Chew says ByteDance's US entities will retain direct control over core US revenue drivers, including ecommerce, ads, and marketing (Financial Times)
ft.com/content/7a778d46-8bf8-4

@Mediagazer@mstdn.social
2025-12-16 14:50:45

Russia calls Deutsche Welle an "undesirable organization", a label it applies to entities it says undermine its constitutional order or national security (Reuters)
reuters.com/business/media-tel

@burger_jaap@mastodon.social
2025-12-04 09:53:06

Can you guess which country's EV charging strategy prioritises market-based price signals to guide charging and discharging?
#V2G

(6) Continuously expand the scope of vehicle-grid interaction pilot schemes. Solidly advance the construction of the first batch of vehicle-grid interaction pilot projects, establishing mechanisms for coordinated promotion and tracking evaluation. Fully leverage the guiding role of time-of-use pricing signals in the electricity market, exploring market-based vehicle-grid interaction response models. Organise grid companies, virtual power plants (load aggregators), and other entities to conduct …
@arXiv_csCV_bot@mastoxiv.page
2025-10-09 10:13:31

StaR-KVQA: Structured Reasoning Traces for Implicit-Knowledge Visual Question Answering
Zhihao Wen, Wenkang Wei, Yuan Fang, Xingtong Yu, Hui Zhang, Weicheng Zhu, Xin Zhang
arxiv.org/abs/2510.06638

@netzschleuder@social.skewed.de
2025-11-20 19:00:17

dbpedia_all: DBpedia network (v3.6)
A network among all entries in DBpedia, a project that extracts structured information from Wikipedia. Nodes represent entities in DBpedia and an edge connects two entities based on DBpedia's notion of their relatedness. The data is extracted from the version 3.6 of the database.
This network has 3966924 nodes and 13820853 edges.
Tags: Informational, Relatedness, Unweighted, Multigraph

dbpedia_all: DBpedia network (v3.6). 3966924 nodes, 13820853 edges. https://networks.skewed.de/net/dbpedia_all
@johnm@social.tchncs.de
2025-12-17 09:06:44

Beim @… in der Timeline den #CyberCircleCreator entdeckt.
ccc.cyber.to/

A stylized cyber network diagram with a black background featuring a central binary code circle surrounded by interconnected circular profile icons, images, and logos, representing various users or entities; the icons are linked with green and yellow dashed lines, creating a web-like structure.
@arXiv_csCR_bot@mastoxiv.page
2025-10-10 09:58:19

AI-Driven Post-Quantum Cryptography for Cyber-Resilient V2X Communication in Transportation Cyber-Physical Systems
Akid Abrar, Sagar Dasgupta, Mizanur Rahman, Ahmad Alsharif
arxiv.org/abs/2510.08496

@newsie@darktundra.xyz
2025-12-10 13:13:12

British government sanctions Russian and Chinese groups over information warfare therecord.media/uk-sanctions-r

@arXiv_physicsoptics_bot@mastoxiv.page
2025-10-14 09:18:18

Time-diffracting 2D wave vortices
Boris A. Khanikati, Konstantin Y. Bliokh
arxiv.org/abs/2510.10147 arxiv.org/pdf/2510.10147

@metacurity@infosec.exchange
2025-11-04 19:58:57

therecord.media/north-korea-us
Treasury sanctions 8 for laundering North Korea earnings from cybercrime, IT worker scheme

@gwire@mastodon.social
2025-11-14 13:39:15

Does anyone know what happened to the BBC Things linked-data service? It looks like it's been down since at least February 2025?
bbc.co.uk/things/

@arXiv_csAI_bot@mastoxiv.page
2025-10-14 12:24:28

Unifying Deductive and Abductive Reasoning in Knowledge Graphs with Masked Diffusion Model
Yisen Gao, Jiaxin Bai, Yi Huang, Xingcheng Fu, Qingyun Sun, Yangqiu Song
arxiv.org/abs/2510.11462

@netzschleuder@social.skewed.de
2025-10-13 16:00:16

dbpedia_all: DBpedia network (v3.6)
A network among all entries in DBpedia, a project that extracts structured information from Wikipedia. Nodes represent entities in DBpedia and an edge connects two entities based on DBpedia's notion of their relatedness. The data is extracted from the version 3.6 of the database.
This network has 3966924 nodes and 13820853 edges.
Tags: Informational, Relatedness, Unweighted, Multigraph

dbpedia_all: DBpedia network (v3.6). 3966924 nodes, 13820853 edges. https://networks.skewed.de/net/dbpedia_all
@arXiv_condmatsoft_bot@mastoxiv.page
2025-10-07 08:29:42

Mixing of a binary passive particle system using smart active particles
Thomas Jacob, Siddhant Mohapatra, Rajalingam A, Sam Mathew, Pallab Sinha Mahapatra
arxiv.org/abs/2510.04305

@arXiv_csMA_bot@mastoxiv.page
2025-10-10 07:35:08

Network Topology and Information Efficiency of Multi-Agent Systems: Study based on MARL
Xinren Zhang, Sixi Cheng, Zixin Zhong, Jiadong Yu
arxiv.org/abs/2510.07888

@arXiv_csCL_bot@mastoxiv.page
2025-10-13 10:42:00

WUGNECTIVES: Novel Entity Inferences of Language Models from Discourse Connectives
Daniel Brubaker, William Sheffield, Junyi Jessy Li, Kanishka Misra
arxiv.org/abs/2510.09556

@Techmeme@techhub.social
2025-10-10 15:25:50

Chainalysis: crypto balances tied to illicit activity top $75B, including ~$15B held by illicit entities and $60B in wallets with downstream exposure to them (Sam Bourgi/Cointelegraph)
cointelegraph.com/news/chainal

@netzschleuder@social.skewed.de
2025-10-13 07:00:14

dbpedia_all: DBpedia network (v3.6)
A network among all entries in DBpedia, a project that extracts structured information from Wikipedia. Nodes represent entities in DBpedia and an edge connects two entities based on DBpedia's notion of their relatedness. The data is extracted from the version 3.6 of the database.
This network has 3966924 nodes and 13820853 edges.
Tags: Informational, Relatedness, Unweighted, Multigraph

dbpedia_all: DBpedia network (v3.6). 3966924 nodes, 13820853 edges. https://networks.skewed.de/net/dbpedia_all
@arXiv_csIR_bot@mastoxiv.page
2025-10-14 11:54:49

REGENT: Relevance-Guided Attention for Entity-Aware Multi-Vector Neural Re-Ranking
Shubham Chatterjee
arxiv.org/abs/2510.11592 arxiv.org/pd…

@arXiv_nlinAO_bot@mastoxiv.page
2025-10-14 08:00:35

Interplay of sync and swarm: Theory and application of swarmalators
Gourab Kumar Sar, Kevin O'Keeffe, Joao U. F. Lizarraga, Marcus A. M. de Aguiar, Christian Bettstetter, Dibakar Ghosh
arxiv.org/abs/2510.09819

@netzschleuder@social.skewed.de
2025-12-10 10:00:16

dbpedia_all: DBpedia network (v3.6)
A network among all entries in DBpedia, a project that extracts structured information from Wikipedia. Nodes represent entities in DBpedia and an edge connects two entities based on DBpedia's notion of their relatedness. The data is extracted from the version 3.6 of the database.
This network has 3966924 nodes and 13820853 edges.
Tags: Informational, Relatedness, Unweighted, Multigraph

dbpedia_all: DBpedia network (v3.6). 3966924 nodes, 13820853 edges. https://networks.skewed.de/net/dbpedia_all
@newsie@darktundra.xyz
2025-12-10 20:08:26

DOJ, CISA warn of Russia-linked attacks targeting meat processing plants, nuclear regulatory entities and other critical infrastructure therecord.media/doj-cisa-warn-

@arXiv_csAI_bot@mastoxiv.page
2025-10-13 09:25:00

EcphoryRAG: Re-Imagining Knowledge-Graph RAG via Human Associative Memory
Zirui Liao
arxiv.org/abs/2510.08958 arxiv.org/pdf/2510.08958

@Techmeme@techhub.social
2025-12-05 03:40:57

US and Canadian authorities warn that Chinese hackers are using the Brickstorm malware to install backdoor access within unnamed government and IT entities (A.J. Vicens/Reuters)
reuters.com/world/china/chines

@netzschleuder@social.skewed.de
2025-11-20 11:00:18

dbpedia_country: Person-Country Affiliations (DBpedia, 2016)
A bipartite network of the affiliations between notable people and countries of the world, as extracted from Wikipedia via the DBpedia project. Countries include former countries, empires, kingdoms, and some country-like entities.
This network has 592414 nodes and 637134 edges.
Tags: Social, Affiliation, Unweighted

dbpedia_country: Person-Country Affiliations (DBpedia, 2016). 592414 nodes, 637134 edges. https://networks.skewed.de/net/dbpedia_country
@arXiv_csCL_bot@mastoxiv.page
2025-10-06 10:16:39

PGMEL: Policy Gradient-based Generative Adversarial Network for Multimodal Entity Linking
KM Pooja, Cheng Long, Aixin Sun
arxiv.org/abs/2510.02726

@newsie@darktundra.xyz
2025-11-21 14:58:14

China’s APT31 linked to hacks on Russian tech firms therecord.media/russia-report-

@netzschleuder@social.skewed.de
2025-10-19 22:00:08

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
@netzschleuder@social.skewed.de
2025-12-16 06:00:18

dbpedia_country: Person-Country Affiliations (DBpedia, 2016)
A bipartite network of the affiliations between notable people and countries of the world, as extracted from Wikipedia via the DBpedia project. Countries include former countries, empires, kingdoms, and some country-like entities.
This network has 592414 nodes and 637134 edges.
Tags: Social, Affiliation, Unweighted

dbpedia_country: Person-Country Affiliations (DBpedia, 2016). 592414 nodes, 637134 edges. https://networks.skewed.de/net/dbpedia_country
@newsie@darktundra.xyz
2025-12-17 21:58:46

FBI takes down alleged money laundering service for ransomware groups therecord.media/fbi-takes-down

@netzschleuder@social.skewed.de
2025-12-13 01:00:07

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
@netzschleuder@social.skewed.de
2025-10-12 01:00:07

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
@beeb@hachyderm.io
2025-12-07 10:33:10
Content warning: Advent of Code 2025 Day 7

Today's puzzle in #AdventOfCode was another grid puzzle, where I again represented the entities as a sparse set.
Part 1 was relatively straightforward, a simplified BFS-like process allowed to construct the beams going through the system.
For part 2, additionally to gathering where a beam was present, I added metadata about how many paths were going through each position, adding them up and splitting them as required. Summing the paths for the last row gave the required result.
#AoC #AoC2025 #AdventOfCode2025 #RustLang #rust

@netzschleuder@social.skewed.de
2025-12-11 11:00:08

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
@newsie@darktundra.xyz
2025-10-14 20:13:58

Feds sanction Cambodian conglomerate over cyber scams, seize $15 billion from chairman therecord.media/feds-sanction-

@netzschleuder@social.skewed.de
2025-12-12 13:00:17

dbpedia_country: Person-Country Affiliations (DBpedia, 2016)
A bipartite network of the affiliations between notable people and countries of the world, as extracted from Wikipedia via the DBpedia project. Countries include former countries, empires, kingdoms, and some country-like entities.
This network has 592414 nodes and 637134 edges.
Tags: Social, Affiliation, Unweighted

dbpedia_country: Person-Country Affiliations (DBpedia, 2016). 592414 nodes, 637134 edges. https://networks.skewed.de/net/dbpedia_country
@netzschleuder@social.skewed.de
2025-11-09 19:00:06

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
@newsie@darktundra.xyz
2025-11-14 18:18:16

Chinese state hackers used Anthropic AI systems in dozens of attacks therecord.media/chinese-hacker

@netzschleuder@social.skewed.de
2025-12-07 13:00:08

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
@netzschleuder@social.skewed.de
2025-12-07 20:00:09

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
@newsie@darktundra.xyz
2025-12-12 21:18:22

Hamas-affiliated APT targeting government agencies in the Middle East, Morocco therecord.media/hamas-apt-targ

@netzschleuder@social.skewed.de
2025-10-06 04:00:07

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
@netzschleuder@social.skewed.de
2025-12-05 01:00:07

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
@newsie@darktundra.xyz
2025-11-04 18:28:33

Treasury sanctions 8 for laundering North Korea earnings from cybercrime, IT worker scheme therecord.media/north-korea-us