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@netzschleuder@social.skewed.de
2025-06-24 20:00:08

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
@grumpybozo@toad.social
2025-06-24 16:26:26
Content warning: #USPOL

There’s a reason for all that…
For all of my adult life the dominant cultural message has been that government is too big, bloated, and incompetent. This has rarely been true. Idiot pols have also talked about "running government like a business" and/or "budgeting government like a family" even though neither is desirable and they are incompatible. The result has been the starvation of government, including the courts. "Packing" the courtS needs to recogn…

@netzschleuder@social.skewed.de
2025-07-22 16:00:09

social_location: Location-based social networks
Two location-based online social networks, where nodes are accounts and edges are declared friendships. Networks includes checkins by these users.
This network has 196591 nodes and 1900654 edges.
Tags: Social, Online, Spatial
networks.skewed.…

social_location: Location-based social networks. 196591 nodes, 1900654 edges. https://networks.skewed.de/net/social_location#gowalla
@lysander07@sigmoid.social
2025-07-24 13:00:20

This week's ISE 2025 lecture was focussed on artificial neural networks. In particular, we were discussing how to get rid of manual feature engineering and doing representation learning from raw data with convolutional neural networks.
#AI #ArtificialNeuralNetworks

Slide from the ISE 2025 lecture on Neural Networks and Deep Learning.
Imagine you want to detect cats in images. Of course you have to consider that not every cat looks alike. Moreover, its position in the picture, the distance (size), the illumination/lighting, potential occlusion, etc. have to be considered. For this reason, originally well suited features had to be extracted from the images, which allowed to consider all these requirements. Nowadays, there is no need for this manual feature …
@cheryanne@aus.social
2025-06-24 00:50:13

The Fantasy Writing Show With Jed Herne
Great Australian Pods Podcast Directory: #GreatAusPods

The Fantasy Writing Show With Jed Herne
Screenshot of the podcast listing on the Great Australian Pods website
@netzschleuder@social.skewed.de
2025-07-23 15:00:04

sp_colocation: Social co-locations (2018)
Network of colocations between peoople, based on the information on which RFID readers received information from the RFID tags. Namely, we define two individuals to be in co-presence if the same exact set of readers have received signals from both individuals during a 20s time window.
This network has 100 nodes and 394247 edges.
Tags: Social, Offline, Unweighted, Weighted, Temporal, Metadata

sp_colocation: Social co-locations (2018). 100 nodes, 394247 edges. https://networks.skewed.de/net/sp_colocation#InVS13
@netzschleuder@social.skewed.de
2025-06-23 11:00:04

sp_colocation: Social co-locations (2018)
Network of colocations between peoople, based on the information on which RFID readers received information from the RFID tags. Namely, we define two individuals to be in co-presence if the same exact set of readers have received signals from both individuals during a 20s time window.
This network has 81 nodes and 150126 edges.
Tags: Social, Offline, Unweighted, Weighted, Temporal, Metadata

sp_colocation: Social co-locations (2018). 81 nodes, 150126 edges. https://networks.skewed.de/net/sp_colocation#LH10
@netzschleuder@social.skewed.de
2025-07-24 10:00:04

foursquare: Foursquare NYC restaurants (2012)
Two bipartite networks of users and restaurant locations in New York City on Foursquare, from 24 October 2011 to 20 February 2012. In one network, an edge denotes a check-in event of a user at a restaurant. In the other, an edge exists if a user left a tip/comment on a restaurant. Metadata include comments.
This network has 6410 nodes and 10377 edges.
Tags: Social, Online, Unweighted, Metadata

foursquare: Foursquare NYC restaurants (2012). 6410 nodes, 10377 edges. https://networks.skewed.de/net/foursquare#NYC_restaurant_tips
@netzschleuder@social.skewed.de
2025-07-20 12:00:06

social_location: Location-based social networks
Two location-based online social networks, where nodes are accounts and edges are declared friendships. Networks includes checkins by these users.
This network has 58228 nodes and 428156 edges.
Tags: Social, Online, Spatial
networks.skewed…

social_location: Location-based social networks. 58228 nodes, 428156 edges. https://networks.skewed.de/net/social_location#brightkite
@netzschleuder@social.skewed.de
2025-06-19 13:00:06

social_location: Location-based social networks
Two location-based online social networks, where nodes are accounts and edges are declared friendships. Networks includes checkins by these users.
This network has 58228 nodes and 428156 edges.
Tags: Social, Online, Spatial
networks.skewed…

social_location: Location-based social networks. 58228 nodes, 428156 edges. https://networks.skewed.de/net/social_location#brightkite