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@heiseonline@social.heise.de
2025-09-10 09:07:00

Bericht: Chinas Geedge Networks liefert Zensursysteme an Länder 
Geedge-Networks aus China verkauft offenbar Überwachungstechnologien an autokratische Staaten, darunter Pakistan, Kasachstan, Äthiopien und Myanmar.

Bericht: Chinas Geedge Networks liefert Zensursysteme an Länder 
Geedge-Networks aus China verkauft offenbar Überwachungstechnologien an autokratische Staaten, darunter Pakistan, Kasachstan, Äthiopien und Myanmar.

@Techmeme@techhub.social
2025-09-10 05:35:53

Leaked docs: Chinese network-monitoring provider Geedge Networks has sold Great Firewall-style censorship systems to at least four countries, including Pakistan (Zeyi Yang/Wired)
wired.com/story/geedge-network

Massive Leak Shows How a Chinese Company Is Exporting the Great Firewall to the World
Geedge Networks, a company with ties to the founder of China’s mass censorship infrastructure, is selling its censorship and surveillance systems to at least four other countries in Asia and Africa.

@netzschleuder@social.skewed.de
2025-10-10 07:00:05

python_dependency: Python Dependency Network
Python's package dependency networks. Nodes in the network are Python's packages registered to PyPI and edges are dependencies among packages.
This network has 58743 nodes and 108399 edges.
Tags: Technological, Software, Unweighted
networks.sk…

python_dependency: Python Dependency Network. 58743 nodes, 108399 edges. https://networks.skewed.de/net/python_dependency

python_dependency — Python Dependency Network
Python's package dependency networks. Nodes in the network are Python's packages registered to PyPI and edges are dependencies among packages.

@metacurity@infosec.exchange
2025-09-09 18:26:21

cyberscoop.com/nozomi-networks
Mitsubishi Electric to acquire Nozomi Networks in $1 billion deal

Mitsubishi Electric to acquire Nozomi Networks in $1 billion deal
Industrial conglomerate Mitsubishi Electric has agreed to acquire OT and IoT cybersecurity specialist Nozomi Networks in a transaction that values the firm near the $1 billion mark.

@heiseonline@social.heise.de
2025-11-10 11:02:00

Niedersächsische Bildungsministerin dringt auf Altersgrenze für Social Media
Während eine Elterninitiative in Berlin für ein Mindestalter von 16 Jahren für Social Media kämpft, fordert die niedersächsische Kultusministerin 14 Jahre.

Niedersächsische Bildungsministerin dringt auf Altersgrenze für Social Media
Während eine Elterninitiative in Berlin für ein Mindestalter von 16 Jahren für Social Media kämpft, fordert die niedersächsische Kultusministerin 14 Jahre.

@netzschleuder@social.skewed.de
2025-11-10 00:00:50

hyves: Hyves friendship network (2010)
A network of friendships among users of Hyves, an online social networking site in the Netherlands (comparable to Facebook at the time). Nodes represent users and an edge exists if two users are friends. These data were crawled in December 2010.
This network has 1402673 nodes and 2777419 edges.
Tags: Social, Online, Unweighted

hyves: Hyves friendship network (2010). 1402673 nodes, 2777419 edges. https://networks.skewed.de/net/hyves

hyves — Hyves friendship network (2010)
A network of friendships among users of Hyves, an online social networking site in the Netherlands (comparable to Facebook at the time). Nodes represent users and an edge exists if two users are friends. These data were crawled in December 2010.

@netzschleuder@social.skewed.de
2025-11-10 01:00:15

visualizeus: vi.sualize.us picture tagging network
Three bipartite networks of tag-picture, user-picture, and user-tag linkages that represent the folksonomy of the picture tagging network of vi.sualize.us. The date of this snapshot is uncertain.
This network has 577437 nodes and 2298816 edges.
Tags: Informational, Folksonomy, Unweighted, Multigraph

visualizeus: vi.sualize.us picture tagging network. 577437 nodes, 2298816 edges. https://networks.skewed.de/net/visualizeus

visualizeus — vi.sualize.us picture tagging network
Three bipartite networks of tag-picture, user-picture, and user-tag linkages that represent the folksonomy of the picture tagging network of vi.sualize.us. The date of this snapshot is uncertain.

@netzschleuder@social.skewed.de
2025-09-10 20:00:04

physician_trust: Physician trust network (1966)
A network of trust relationships among physicians in four midwestern (USA) cities in 1966. Edge direction indicates that node i trusts or asks for advice from node j. Each of the four components represent the network within a given city.
This network has 241 nodes and 1098 edges.
Tags: Social, Offline, Unweighted

physician_trust: Physician trust network (1966). 241 nodes, 1098 edges. https://networks.skewed.de/net/physician_trust

physician_trust — Physician trust network (1966)
A network of trust relationships among physicians in four midwestern (USA) cities in 1966. Edge direction indicates that node i trusts or asks for advice from node j. Each of the four components represent the network within a given city.

@netzschleuder@social.skewed.de
2025-10-10 08:00:03

word_adjacency: Word Adjacency Networks
Directed Networks of word adjacency in texts of several languages including English, French, Spanish and Japanese.
This network has 11586 nodes and 45129 edges.
Tags: Informational, Language, Unweighted
networks.skewed.de/net/word_ad

word_adjacency: Word Adjacency Networks. 11586 nodes, 45129 edges. https://networks.skewed.de/net/word_adjacency#spanish

word_adjacency — Word Adjacency Networks
Directed Networks of word adjacency in texts of several languages including English, French, Spanish and Japanese

@netzschleuder@social.skewed.de
2025-10-10 13:00:03

london_transport: London Transport Network
Multiplex network with 3 edge types representing links within the three layers of London train stations: Underground, Overground and DLR.
This network has 369 nodes and 441 edges.
Tags: Transportation, Public Transport, Multilayer, Weighted
networks.skew…

london_transport: London Transport Network. 369 nodes, 441 edges. https://networks.skewed.de/net/london_transport

london_transport — London Transport Network
Multiplex network with 3 edge types representing links within the three layers of London train stations: Underground, Overground and DLR.