Tootfinder

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

Francisco Alsina from @… presents the effects the #ORCID Global Participation Fund has on advancing ORCID integration into #DSpace and

At work @…, we are testing a new format where everyone from the support team has a one on one with everyone else. I created a python script to create the combinations and dates. At home, I thought it would be nice to make it easier to use and get back into learning Vue. I re-created the script as a tiny web app: MatchICS.
You enter a list of entities (people, t…

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

Cyber Command, NSA nominee Rudd advances to Senate floor https://therecord.media/cyber-command-nsa-nominee-rudd-advances-to-senate

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

A bunch of countries issued a joint advisory highlighting a Russian state-sponsored cyber campaign targeting Western logistics entities and technology companies.
https://media.defense.gov/2025/May/21/2003719846/-1/-1/0/CSA_RUSSIAN_GRU_TARGET_LOGI…

Cool - managed to move one of my Uptime Kumas from Sqlite3 to MariaDB... and I created 2 additional instances so I could split up my concerns among the responsible entities (relevant companies/communities). It's impressive software, though I think it'd be cool if it supported user accounts (currently there's just scope for a single account on each instance). That's being explored...

French authorities charge four people with spying for China by allegedly seeking to obtain satellite data from Starlink and other critical entities (Jenny Che/Bloomberg)
https://www.bloomberg.com/news/articles/2026-02-05/fran…

Binance pledged to crack down on crime.
But internal investigators at the world’s largest crypto exchange continued to find evidence of potential legal violations on the platform
🔥Binance Employees Find $1.7 Billion in Crypto Was Sent to Iranian Entities
https://www.

Binance Employees Find $1.7 Billion in Crypto Was Sent to Iranian Entities
Binance pledged to crack down on crime. But internal investigators at the world’s largest crypto exchange continued to find evidence of potential legal violations on the platform.

The group "Department of Peace" hacked the DHS' internal tool for managing contracts and leaked a list of contractors working with ICE ~6000 of them released today. https://ddosecrets.org/article/ice-contracts
Here is a handy explorer for it

#Moltbook #AI #Vulnerability Exposes Email Addresses, Login Tokens, and API Keys

A US district court judge agrees to permanently block the Trump administration from implementing an executive order to end federal funding for NPR and PBS (Associated Press)
https://apnews.com/article/trump-npr-pbs-funding-executive-order-fbd…

Judge blocks Trump order to end funding for NPR and PBS
A federal judge has agreed to permanently block the Trump administration from implementing a presidential directive to end federal funding for National Public Radio and the Public Broadcasting Service. The two are media entities that the White House has said are counterproductive to American priorities. U.S. District Judge Randolph Moss cited the First Amendment in his decision. The impact was not immediately clear — both because it will likely be appealed and because too much damage to the p…

Docs: Binance investigators found accounts, including those of VIP Chinese traders and a suspected Iranian gold smuggler, helped move $1B to Iran-linked groups (Fortune)
https://fortune.com/2026/03/12/binance-accounts-iranian-entities-sa…

Inside the Binance accounts internal investigators say helped transfer more than $1 billion to Iran-linked entities: A 79-year-old VIP Chinese trader and a suspected Iranian gold smuggler
Compliance experts expressed surprise that Binance did not immediately restrict the accounts, most of which have since been offboarded.

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

Thank you local public institution for only making important operational announcements on foreign, corporate-owned social media. Those of us who haven't given our data to these entities and who are naive enough to imagine you'd put important announcements on your website salute you!

The state has become an existential threat to humanity in multiple ways. Not only are we *all* at risk of being killed at any time by the monsterous incompetence and malice of these systems (yeah, listen to this: https://www.iheart.com/podcast/105-behind-the-bastards-29236323/episode/part-one-the-men-who-might-310407494/), but we are also slowly being killed by systems enforced and protected by these same entities.
States won't fix climate change. Ecocide is enabled by the existence of states.
Maybe... just maybe... it's time to think of other ways to organize ourselves.

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

Sounds like Google Workspace isn't going to support DNS-based Authentication of Named Entities. https://support.google.com/a/thread/327751597/feature-request-for-support-of-rfc-7671?hl=en

How Binance staffers found $1B was sent to sanctioned Iranian entities via the exchange, which dismantled their probe and suspended them after Trump pardoned CZ (Wall Street Journal)
https://www.wsj.com/finance/currencies/bin

Masses
#iTeachPhysics
#Science
https://bsky.app/profile/hookean.bsky.social/post/3md4…

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

TIEG-Youpu Solution for NeurIPS 2022 WikiKG90Mv2-LSC
Feng Nie, Zhixiu Ye, Sifa Xie, Shuang Wu, Xin Yuan, Liang Yao, Jiazhen Peng, Xu Cheng
https://arxiv.org/abs/2603.28512 https://arxiv.org/pdf/2603.28512 https://arxiv.org/html/2603.28512
arXiv:2603.28512v1 Announce Type: new
Abstract: WikiKG90Mv2 in NeurIPS 2022 is a large encyclopedic knowledge graph. Embedding knowledge graphs into continuous vector spaces is important for many practical applications, such as knowledge acquisition, question answering, and recommendation systems. Compared to existing knowledge graphs, WikiKG90Mv2 is a large scale knowledge graph, which is composed of more than 90 millions of entities. Both efficiency and accuracy should be considered when building graph embedding models for knowledge graph at scale. To this end, we follow the retrieve then re-rank pipeline, and make novel modifications in both retrieval and re-ranking stage. Specifically, we propose a priority infilling retrieval model to obtain candidates that are structurally and semantically similar. Then we propose an ensemble based re-ranking model with neighbor enhanced representations to produce final link prediction results among retrieved candidates. Experimental results show that our proposed method outperforms existing baseline methods and improves MRR of validation set from 0.2342 to 0.2839.
toXiv_bot_toot

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

AI research conference NeurIPS reverses a policy change banning papers from researchers at any entity under US sanctions after backlash from Chinese researchers (Eduardo Baptista/Reuters)
https://www.reuters.com/world/china/china-

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

How Russia-linked crypto exchanges, like Bitpapa, Exmo, and others help Russian entities move money across borders, bypassing banking oversight and sanctions (Elliptic)
https://www.elliptic.co/blog/russia-linked-cryptocurrency-services-and-sanctions-e…

Russia-linked cryptocurrency services and sanctions evasion
Despite growing enforcement, several cryptoasset exchanges continue to enable Russian sanctions evasion through wallet obfuscation and ruble-to-crypto trading.

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)
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)
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

NSA, Cyber Command nominee defends record during Senate hearing https://therecord.media/nsa-cyber-command-nom-joshua-rudd-senate-hearing

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_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_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_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_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
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_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_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
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