Smart #toilets could leak your #medical #data, warn #security experts
https://www.newscientist.com/article/2390113-smart-toilets-could-leak-your-medical-data-warn-security-experts/?amp;utm_source=NSNS&utm_medium=RSS&utm_content=news

Putting your #charity on the #map: How mapping can improve your mission, from DataKind UK https://medium.com/datakinduk/putting-your-charity-on-the-map-5526eba4d116 #data #GIS

On IoT Data Sets and Processing (2015) - Data profiles, types and mechanical translation for small Internet-of-Things devices. #IoT #data - https://www.earth.org.uk/note-on-IoT-data-sets-and-processing.html

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
https://networks.skewed.de/net/dbpedia_country

#networks #data #networkscience #netzschleuder

marvel_partnerships: Marvel character partnerships (2018)

A network of partnerships among characters in the Marvel comic book universe. Nodes are either heroes or villains, and edges represent partnerships between such characters. The partnership network was extracted from Wikipedia pages of these characters, which indicate partnership relations with other such pages.

This network has 350 nodes and 346 edges.

Tags: Social, Fictional, Unweighted
https://networks.skewed.de/net/marvel_partnerships

#networks #data #networkscience #netzschleuder

copenhagen: Copenhagen Networks Study

A network of social interactions among university students within the Copenhagen Networks Study, over a period of four weeks, sampled every 5 minutes. Interactions include physical proximity (undirected), phone calls (directed, weighted), text messages (directed), and information about Facebook friendships (undirected). Nodes include some metadata, including gender.

This network has 536 nodes and 3600 edges.

Tags: Social, Offline, Unweighted, Weighted, Timestamps, Multilayer, Metadata
https://networks.skewed.de/net/copenhagen#calls

#networks #data #networkscience #netzschleuder

bitcoin_alpha: Bitcoin Alpha trust network (2017)

A network of who-trusts-whom relationships among users of the Bitcoin Alpha platform. Each directed edge (i,j,w) represents the rating of user j by user i, in which i assigns j a weight w on a scale of -10 (total distrust) to +10 (total trust) in steps of 1.

This network has 3783 nodes and 24186 edges.

Tags: Social, Online, Weighted, Signed, Timestamps
https://networks.skewed.de/net/bitcoin_alpha

#networks #data #networkscience #netzschleuder

urban_streets: Urban street networks (2017)

20 urban street networks, corresponding to 1-square-mile maps of 20 cities around the world.

This network has 192 nodes and 303 edges.

Tags: Transportation, Roads, Unweighted, Metadata
https://networks.skewed.de/net/urban_streets#washington

#networks #data #networkscience #netzschleuder

stay safe, everyone! keep masking! even if everyone around you is irate about you masking still! #covid #wastewater #data

source: https://covid.nywastewatcher.io/

stay safe, everyone! keep masking! even if everyone around you is irate about you masking still! #covid #wastewater #data

lkml_thread: Linux kernel mailing list

A bipartite network of contributions by users to threads on the Linux kernel mailing list. A left node is a person, and a right node is a thread, and each timestamped edge (i,j,t) denotes that user i contributed to thread j at time t. The date of the snapshot is not given.

This network has 379554 nodes and 1565683 edges.

Tags: Social, Communication, Unweighted, Timestamps
https://networks.skewed.de/net/lkml_thread

#networks #data #networkscience #netzschleuder

Get information on-the-go with our Telegram Bot
#AvDelphi #telegram #bot #nats #images #data
https://avdelphi.com/bot

kidnappings: Abu Sayyaf kidnappings (2014)

Bipartite network of members of the Abu Sayyaf Group in the Philippines, and the kidnapping events they were involved in.

This network has 351 nodes and 402 edges.

Tags: Social, Offline, Unweighted
https://networks.skewed.de/net/kidnappings

#networks #data #networkscience #netzschleuder

Of course, it’s also possible that the answer is mere #negligence. But for all the #dysfunction of #Twitter in the #Dorsey days, at least back then the site had rules for it to fail to follow. All evidence suggests that #X in the #ElonMusk days is run mostly by its owner’s whim. And the renovated firm appears, unlike its former incarnation, to be accepting most every request from most every country to turn over #user #data.

Many of these #subpoenas came in the form of so-called #EmergencyDataRequests —a mechanism #hackers have lately gotten into the habit of abusing to vacuum up #data from #technology cos outside of usual #review processes. Apparently, these requests were often approved w/in hours.
Why did #Twitter treat #SaudiArabia so generously? The answer, critics charge, is #money. One of the largest investors in the company is Prince #AlwaleedbinTalal, …whose $2B stake was purchased through SaudiArabia’s KHC.

elec: Wikipedia adminship vote (2008)

A network of votes on Request for Adminship (RfA) elections from a 2008 snapshot of Wikipedia. Nodes represent editors, and a directed edge (i,j) indicates that editor i voted on editor j. Edge sign indicates the direction of the vote: positive = for, and negative = against. Edges are timestamped.

This network has 7118 nodes and 103675 edges.

Tags: Social, Online, Signed, Timestamps
https://networks.skewed.de/net/elec

#networks #data #networkscience #netzschleuder

#Observability is expensive💰, can get to 30% of your cloud budget!
But do you really need all this data?
@chris_cooney sharing eye-opening usage stats ContainerDays #cds23
A good prep for my talk on observability being a #data #analytics problem 😀

fresh_webs: Freshwater stream webs

A set of 26 networks of trophic-level species interactions in streams in New Zealand, Maine and North Carolina. Networks include the identities of aquatic insect, algae and fish species and their trophic interactions. Excel and plain text adjacency matrices available; webs can be downloaded individually or as a group.

This network has 83 nodes and 335 edges.

Tags: Biological, Food web, Unweighted, Metadata
https://networks.skewed.de/net/fresh_webs#SuttonAu

#networks #data #networkscience #netzschleuder

nematode_mammal: Global nematode–mammal interactions (2018)

A global interaction web of interactions between nematodes and their host mammal species, extracted from the helminthR package and dataset. Nodes are annotated with species-level information.

This network has 30516 nodes and 146683 edges.

Tags: Biological, Food web, Unweighted, Metadata
https://networks.skewed.de/net/nematode_mammal

#networks #data #networkscience #netzschleuder

revolution: American Revolutionary groups (1765-1783)

A bipartite network of the memberships of notable people and organizations, from the American Revolution (1765-1783) between users and groups on YouTube, extracted from a larger YouTube network in 2007.

This network has 141 nodes and 160 edges.

Tags: Social, Affiliation, Unweighted
https://networks.skewed.de/net/revolution

#networks #data #networkscience #netzschleuder