Tootfinder

Opt-in global Mastodon full text search. Join the index!

No exact results. Similar results found.
@netzschleuder@social.skewed.de
2025-12-17 06:00:04

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
@midtsveen@social.linux.pizza
2026-01-17 20:24:48

I don't know who needs to hear this right now but remember that you did everything you could in that situation, its not your fault.
Stop stressing about it and blaming yourself for things that are out of your control, I promise it will get better for you and you will find a beautiful future ahead of you.
You have what it takes to endure any hardship. I wish you all peace, love and happiness ❤💓 love from me! 🪷🙏🕉️☸️

A person with long light hair rests their cheek and hand against a moss-covered tree trunk in a forest, surrounded by thin branches and green-yellow leaves, with soft evening light filtering through the trees.
@blakes7bot@mas.torpidity.net
2026-01-16 19:35:03

Series D, Episode 12 - Warlord
CHALSA: All right, all right, I agree. I accept. [Avon looks about at the others. Boorva nods. Avon gives a sickeningly sweet smile.]
AVON: Then are we all friends here, with one common enemy?
blake.torpidity.net/m/412/81 B7B5

Claude Sonnet 3.7 describes the image as: "This image shows a person with brown hair styled in a 1970s-80s fashion, wearing what appears to be a dark outfit with some decorative elements or embellishments visible at the shoulder. They have a distinctive slight smirk or knowing smile on their face against a neutral background. 

The styling, costume, and filming quality suggest this is from a television production from that era. The dark costume with decorative elements could indicate this is fr…
@netzschleuder@social.skewed.de
2025-11-18 07:00:04

faculty_hiring: Faculty hiring networks (Comp. Sci., Business, History)
Three networks of faculty hiring in Computer Science Departments, Business Schools, and History Departments. Each node is a PhD-granting institution in the respective field, and a directed edge (i,j) indicates that a person received their PhD from node i and was tenure-track faculty at node j during time of collection (2011-2013). All data collected from faculty public rosters at the sampled institutions.
Thi…

faculty_hiring: Faculty hiring networks (Comp. Sci., Business, History). 206 nodes, 4988 edges. https://networks.skewed.de/net/faculty_hiring#computer_science
@netzschleuder@social.skewed.de
2025-12-17 04:00:05

dblp_cite: DBLP citations (2014)
Citations among papers contained in the DBLP computer science bibliography. If a paper i cites a paper j also in this data set, then a directed edge connects i to j. (Papers not in the data set are excluded.) Self-loops may be present. This snapshot from May 2014.
This network has 12590 nodes and 49759 edges.
Tags: Informational, Citation, Unweighted

dblp_cite: DBLP citations (2014). 12590 nodes, 49759 edges. https://networks.skewed.de/net/dblp_cite
@netzschleuder@social.skewed.de
2026-01-17 05:00:06

us_congress: US Congressional co-sponsorship (1973-2016)
Two temporal networks of bill co-sponsorship tendencies among US Congresspeople, from 1973 (93rd Congress) to 2016 (114th Congress). Edges are signed, indicating the presence of a significant tendency to co-sponsor, or tendency to not co-sponsor, bills. Two networks per year, one for each chamber (House, Senate). Each file contains the signed network for a chamber of congress (H = House, S = Senate) in one session (e.g. 93 = 93rd…

us_congress: US Congressional co-sponsorship (1973-2016). 452 nodes, 70923 edges. https://networks.skewed.de/net/us_congress#H110
@netzschleuder@social.skewed.de
2025-11-18 16:00:04

us_congress: US Congressional co-sponsorship (1973-2016)
Two temporal networks of bill co-sponsorship tendencies among US Congresspeople, from 1973 (93rd Congress) to 2016 (114th Congress). Edges are signed, indicating the presence of a significant tendency to co-sponsor, or tendency to not co-sponsor, bills. Two networks per year, one for each chamber (House, Senate). Each file contains the signed network for a chamber of congress (H = House, S = Senate) in one session (e.g. 93 = 93rd…

us_congress: US Congressional co-sponsorship (1973-2016). 101 nodes, 2073 edges. https://networks.skewed.de/net/us_congress#S97
@netzschleuder@social.skewed.de
2026-01-18 12:00:04

sp_infectious: Art exhibit dynamic contacts (2011)
This dataset contains the daily dynamic contact networks collected during the Infectious SocioPatterns event that took place at the Science Gallery in Dublin, Ireland, during the artscience exhibition INFECTIOUS: STAY AWAY. Each file in the downloadable package contains a tab-separated list representing the active contacts during 20-second intervals of one day of data collection. Each line has the form “t i j“, where i and j are the a…

sp_infectious: Art exhibit dynamic contacts (2011). 10972 nodes, 415912 edges. https://networks.skewed.de/net/sp_infectious
@netzschleuder@social.skewed.de
2025-11-18 01:00:04

terrorists_911: 9-11 terrorist network
Network of individuals and their known social associations, centered around the hijackers that carried out the September 11th, 2001 terrorist attacks. Associations extracted after-the-fact from public data. Metadata labels say which plane a person was on, if any, on 9/11.
This network has 62 nodes and 152 edges.
Tags: Social, Offline, Unweighted, Metadata

terrorists_911: 9-11 terrorist network. 62 nodes, 152 edges. https://networks.skewed.de/net/terrorists_911
@netzschleuder@social.skewed.de
2026-01-16 10:00:04

faculty_hiring: Faculty hiring networks (Comp. Sci., Business, History)
Three networks of faculty hiring in Computer Science Departments, Business Schools, and History Departments. Each node is a PhD-granting institution in the respective field, and a directed edge (i,j) indicates that a person received their PhD from node i and was tenure-track faculty at node j during time of collection (2011-2013). All data collected from faculty public rosters at the sampled institutions.
Thi…

faculty_hiring: Faculty hiring networks (Comp. Sci., Business, History). 145 nodes, 4538 edges. https://networks.skewed.de/net/faculty_hiring#history