Tootfinder

college_freshmen: Dutch college freshman (1995)
A small network of friendships among freshmen at Dutch College in 1994-1995. Friendship ties were surveyed at 7 different times over the year, and each edge is timestamped. The direction of an edge indicates that person i named person j, and the edge weight represents their level of friendship, ranging from -1 (risk of conflict) to 3 (best friend).
This network has 32 nodes and 3062 edges.
Tags: Social, Offline, Weighted, Tim…

Jaydon Blue rips 'fake article' claiming Cowboys staff has work ethic concerns https://www.si.com/nfl/cowboys/news/jaydon-blue-rips-fake-article-claiming-dallas-cowboys-work-ethic-concerns

#ImprecRecords has a new #WeirdAl t-shirt with an #Accordion and the cryptic reference "Satan eats Cheese-Whiz" (Taken from a back-masked message on Al's song "Nature Trail To…

Satan Eats Cheese Whiz - T Shirt

Q&A with Hugging Face Chief Ethics Scientist Margaret Mitchell on aligning AI development with human needs, the "illusion of consensus" around AGI, and more (Melissa Heikkilä/Financial Times)
https://www.ft.com/content/7089bff2-25fc-4a25-98bf-8828ab24…

Margaret Mitchell: artificial general intelligence is ‘just vibes and snake oil’
One of the pioneers of AI ethics explains why human needs should be the central driver in the development of the technology

What Can Robots Teach Us About Trust and Reliance? An interdisciplinary dialogue between Social Sciences and Social Robotics
Julien Wacquez (ETIS, CNRS), Elisabetta Zibetti (CHART), Joffrey Becker (ENSEA, ETIS), Lorenzo Aloe (ETIS, CHART), Fabio Amadio (LARSEN), Salvatore Anzalone (CHART), Lola Ca\~namero (ETIS, CY, CNRS, ENSEA), Serena Ivaldi (LARSEN, LORIA - AIS)

What Can Robots Teach Us About Trust and Reliance? An interdisciplinary dialogue between Social Sciences and Social Robotics
As robots find their way into more and more aspects of everyday life, questions around trust are becoming increasingly important. What does it mean to trust a robot? And how should we think about trust in relationships that involve both humans and non-human agents? While the field of Human-Robot Interaction (HRI) has made trust a central topic, the concept is often approached in fragmented ways. At the same time, established work in sociology, where trust has long been a key theme, is rarely br…

wikiconflict: Wikipedia edit wars (2009)
A network representing editorial interactions among editors of the English Wikipedia. Nodes are editors, and an edge denotes an edit conflict between the two editors. Edge are timestamped and signed. A positive sign indicates the users have agreement on the edit, and the negative sign indicates a disagreement (a reversion) on the edit.
This network has 118100 nodes and 2917785 edges.
Tags: Social, Conflict, Signed, Timestamps

un_migrations: UN migration stock (2015)
A network of migration between countries, collected by the United Nations. A directed edge gives the flow of migration, and an edge property gives the number of migrants, for each given year and sex. Estimates are presented for 1990, 1995, 2000, 2005, 2010 and 2015 and are available for all countries and areas of the world. The estimates are based on official statistics on the foreign-born or the foreign population.
This network has 232 no…

advogato: Advogato trust network (2009)
A network of trust relationships among users on Advogato, an online community of open source software developers. Edge direction indicates that node i trusts node j, and edge weight denotes one of four increasing levels of declared trust from i to j: observer (0.4), apprentice (0.6), journeyer (0.8), and master (1.0).
This network has 6541 nodes and 51127 edges.
Tags: Social, Online, Weighted

freshmen: Zeggelink's freshmen (1999)
Snapshots of friendships among freshmen majoring in Sociology at the University of Groningen, collected five times over the 1998-1999 year. The direction of an edge indicates that student i is friends with student j, and the edge weight gives their friendship level from 1 (best friend) to 5 (troubled relation). Metadata include gender, age, program type, and smoking behavior.
This network has 34 nodes and 1156 edges.
Tags: Social, O…

bookcrossing: BookCrossing ratings (2005)
Two bipartite networks representing people and the books they have interacted with, from the BookCrossing website. Nodes represent users and books, and an edge connects a user to a book they have interacted with. The file book_implicit is unweighted; edge weights in book_ratings give the rating a user assigned to a book.
This network has 445801 nodes and 1149739 edges.
Tags: Economic, Preferences, Unweighted, Weighted