Tootfinder

jester: Jester joke ratings (2001)
Two bipartite networks of users and jokes, extracted from the online joke recommender system Jester. A user connects to all jokes for which that user entered a rating. Edge weights give the rating score, scaled from -10 to 10. The two files differ by how many joke nodes are included, 100 or 150.
This network has 73521 nodes and 4136360 edges.
Tags: Economic, Preferences, Weighted

"Lottery before peer review is associated with increased female representation and reduced estimated economic cost in a German funding line" https://doi.org/10.1038/s41467-025-65660-9
[via @…

Just look at the position Trump is in right now. Elites are already turning against him. There are already fractures in his own party. I honestly think all it will take is a tiny push, and an economic shock is probably all it would take to push things over the edge into 25th amendment territory, or even impeachment and removal... Especially right now, when they can say it's because of the Epstein files.
It turns out that we too can "make the economy scream."

github: GitHub contest (2009)
The bipartite project-user membership network of the software development hosting site GitHub. A user connects to a project if that user is a member of that project.
This network has 177386 nodes and 440237 edges.
Tags: Economic, Production, Unweighted
https://networks.skewed.de/net/github

The consequences of the 996 working hour system:
"On the Chinese internet, the country’s current predicament – slowing economic growth, a falling birthrate, a meagre social safety net, increasing isolation on the world stage – is often expressed through buzzwords. There is tangping, or “lying flat”, a term used to describe the young generation of Chinese who are choosing to chill out rather than hustle in China’s high-pressure economy. There is runxue, or “run philosophy”, which re…

Kimi Onoda, Japan's new Minister of State for Economic Security, is a 43 year old half-Irish ex-game industry PR femcel with an extensive history of defending her exclusive attraction to anime boys on twitter

dbpedia_team: DBpedia athlete-team affiliations
Bipartite network of the affiliations (employment relations) between professional athletes and their teams, as extracted from Wikipedia by the DBpedia project.
This network has 935627 nodes and 1366466 edges.
Tags: Economic, Employment, Unweighted
https://netwo…

Russia's strong currency puzzles economists, signals economic woes: https://benborges.xyz/2025/12/16/russias-strong-currency-puzzles-economists.html

dbpedia_team: DBpedia athlete-team affiliations
Bipartite network of the affiliations (employment relations) between professional athletes and their teams, as extracted from Wikipedia by the DBpedia project.
This network has 935627 nodes and 1366466 edges.
Tags: Economic, Employment, Unweighted
https://netwo…

dbpedia_recordlabel: DBpedia artist-label affiliations
Bipartite networks of the affiliations (contractual relations) between artists and the record labels under which they have performed, as extracted from Wikipedia by the DBpedia project.
This network has 186758 nodes and 233286 edges.
Tags: Economic, Employment, Unweighted
http…

"In summary, #AGI, as commonly conceived, will not happen because it ignores the physical constraints of computation, the exponential costs of linear progress, and the fundamental limits we are already encountering. Superintelligence is a fantasy because it assumes that intelligence can recursively self-improve without bound, ignoring the physical and economic realities that constrain all systems. …

epinions: Epinions product ratings (2005)
A bipartite network of users and the products they rated on the website Epinions.com. A user connects to all products on which that user entered a rating. Edge weight represents the rating score, and edges are timestamped.
This network has 876252 nodes and 13668320 edges.
Tags: Economic, Preferences, Timestamps, Weighted

The more I study capitalism, the more I realize it is a system structured to divide people. It uses the state and economic institutions strategically to keep the working majority fragmented and powerless, preventing them from uniting against their common exploitation.
It’s wrong, deeply wrong, that capitalism enslaves people not only economically but socially and politically. It steals freedom and dignity, forcing the overwhelming majority to serve the selfish interests of a tiny rulin…

German/French TV station #ARTE has an interesting mini series about the history and rivalry of 3 major economic centers: Amsterdam, London, New York.
https://www.arte.tv/en/videos/069809-001-A

epinions: Epinions product ratings (2005)
A bipartite network of users and the products they rated on the website Epinions.com. A user connects to all products on which that user entered a rating. Edge weight represents the rating score, and edges are timestamped.
This network has 876252 nodes and 13668320 edges.
Tags: Economic, Preferences, Timestamps, Weighted

stackoverflow: Stack Overflow favorites (2011)
A bipartite network of users and the posts they have favorited, from the online Q&A site Stack Overflow. An edge (i,j) connects a user i to a post j if that user "favorited" that post (a kind of a rating). Edges are timestamped.
This network has 641876 nodes and 1301942 edges.
Tags: Economic, Preferences, Unweighted, Timestamps

Did you know that the Learning With AI toolkit has a speakers bureau for AI and education? Filter for expertise like "agents administration" or "data bias," then click on presenters to watch recordings that demonstrate their presentation styles.
Have a speaker to recommend who's not on the list? DM me and I'll send you a form to submit a name, specialty, and recording of any events for consideration.

corporate_directors: Global corporate directors (2016)
Bipartite network of directors and the companies on whose boards they sit, spanning 54 countries worldwide, constructed from data collected by the Financial Times (c. Sept. 2016). Person nodes are annotated with age and gender. Company nodes are annotated with their country, sector, industry, and number of employees.
This network has 356638 nodes and 377060 edges.
Tags: Economic, Governance, Unweighted, Metadata
<…

Mutale Nkonde: Building the AI Future We Want to Live In
Event on December 5th at the Toronto Reference Library
https://www.eventbrite.ca/e/mutale-nkonde-building-the-ai-future-we-want-to-live-in-tickets-178232…

Europe prepares economic "knockout" for Putin! Will the Kremlin be left without assets?: https://benborges.xyz/2025/12/09/europe-prepares-economic-quotknockoutquot-for.html

One of the reasons I support free transit is because relying on fare revenue is a trap. One economic downturn, one pandemic, and suddenly the transit system is on life support and needs to drastically reduce service. On the other hand, funding operations through general taxes allows voters to dictate how to handle funding operations, rather than markets.
[This is just one reason I like free transit; I have many. And yes, if your democracy is broken, so is your transit]

Hey, reminder about #BlackOutTheSystem and #MassBlackout. (#Trump to go, there's a way to make that happen. Mass economic action sends the absolutely clearest message there is in the one language American power speaks. From November 25th through December 1st, they're calling for a mass coordinated economic action.
You don't have to feel helpless anymore. There are things you can do that actually hurt the system and can force it to comply.
Here's some info from the announcement page:
The Mass Blackout is a nationwide economic action, coordinated across aligned organizations, calling Americans to:
- Stop online or in-store shopping (except for small businesses)
- Stop work
- Stop streaming, cancel subscriptions, no digital purchases
- Remove the regime
If you must spend: support small, local businesses only. Pay in cash.
#USPol #FiftyFiftyOne #50501movment #NoKings

The problem with greed
Our economic system benefits only those at the very top – but it’s not too late for change
TIM WU
THE GLOBE AND MAIL
https://www.theglobeandmail.com/opinion/article-extraction-economy-wealth-inequality-solu…

Can we go back to the optimism of the 1990s, before the extraction economy took over?
Our economic system benefits only those at the very top – but it’s not too late for change

Techno-economic analysis of self-sustainable thermophotovoltaic systems for grid-scale energy generation
Jihun Lim, Sungwon Lee
https://arxiv.org/abs/2510.07338 https://

Techno-economic analysis of self-sustainable thermophotovoltaic systems for grid-scale energy generation
To facilitate the widespread adoption of renewable energy, dispatchable, zero-emission power sources are essential for grid stability. This work performs a comprehensive techno-economic analysis of a self-sustainable thermophotovoltaic (TPV) system, an architecture that integrates solar charging to function as a standalone power generation asset. Using theory-based models for air-bridge InGaAs and Si diode cells, our analysis reveals that while the system is not currently competitive from a pur…

What are you going to do when the regime falls? After calling all your friends, after the great memes, after the parties, what are you going to do to make sure it never happens again? What world should we create?
Taxing billionaires is great and all, but we could build systems where billionaires are impossible. Is hoarding wealth and using it to control people even something we should consider part of a functional and humane system? Any system where one group of people doesn't have rights means that anyone can be stripped of their rights, like has happened with all the US citizens who've been illegally detained and deported by ICE. Does the concept of "rights" that must be defended with violence, that can be stripped away by people who can exercise more violence, even make sense? Or should the bedrock of a functional system be the obligations that we have to each other and to society, that cannot be severed or taken from us, that tell us we *must* defend regardless of whether systemic oppression will impact us or not?
Americans have been so restricted by the limitations of the two party system, only able to choose between options acceptable to different sections of the capitalist class. Would we even be able to imagine what we could do if those restrictions went away?
The fall of the Berlin wall was a surprise. The fall of Assad was faster than anyone expected. One day the government of Nepal was an unrepentant oligarchy, the next it was on fire. Everything can change in an instant, faster than anyone expects. No one can predict revolutionary change. Will you be ready if the opportunity presents itself?
The US cannot be fixed. The economic system is a ponzi scheme that has been patched again and again, but has finally run out of options. Racism, sexism, and Christian nationalism are baked into the system at every level. Trump gutted the system of soft power that held the US economy together, now there is only a slow decline. Even after he's gone, the damage is done. Once we let go of how to fix something that cannot be fixed, we can start to imagine something that cannot be achieved within the current system.
This is a time of opportunity. Do not burrow so deep in terror that you miss your chance to dream.
#USPol

dbpedia_producer: DBpedia producer network (2014)
A bipartite network of producers and the works they created, as extracted from Wikipedia by the DBpedia project.
This network has 187677 nodes and 207268 edges.
Tags: Economic, Production, Unweighted
https://networks.skewed.de/net/dbpedia

dbpedia_producer: DBpedia producer network (2014)
A bipartite network of producers and the works they created, as extracted from Wikipedia by the DBpedia project.
This network has 187677 nodes and 207268 edges.
Tags: Economic, Production, Unweighted
https://networks.skewed.de/net/dbpedia

Capitalism is the iron cage in which human potential withers, an economic despotism that breeds inequality, alienation, and the hollowing of community life.
#Capitalism #AntiCapitalism #Anarchism

dbpedia_writer: DBpedia writer network (2014)
A bipartite network of writers and the written works they created, as extracted from Wikipedia by the DBpedia project.
This network has 135569 nodes and 144340 edges.
Tags: Economic, Production, Unweighted
https://networks.skewed.de/net/dbpedia

github: GitHub contest (2009)
The bipartite project-user membership network of the software development hosting site GitHub. A user connects to a project if that user is a member of that project.
This network has 177386 nodes and 440237 edges.
Tags: Economic, Production, Unweighted
https://networks.skewed.de/net/github

digg_votes: Digg story votes (2009)
A bipartite network between users and stories on digg.com from 2009. Each user node connects to all story nodes on which that user voted. Edges are timestamped.
This network has 142962 nodes and 3018197 edges.
Tags: Economic, Preferences, Multigraph, Timestamps
https://netwo…

Ukraine, US hold first reconstruction talks as economic recovery tied to peace deal: https://benborges.xyz/2025/12/10/ukraine-us-hold-first-reconstruction.html

bitcoin: Bitcoin transactions (2009-2013)
A network of Bitcoin transactions spanning January 2009 to April 2013. Nodes are public-key "addresses" at some time within the given period, and each edge is marked with the time (at a resolution of seconds) of the transaction.
This network has 6336770 nodes and 16057711 edges.
Tags: Economic, Cryptocurrency, Unweighted, Timestamps

dbpedia_recordlabel: DBpedia artist-label affiliations
Bipartite networks of the affiliations (contractual relations) between artists and the record labels under which they have performed, as extracted from Wikipedia by the DBpedia project.
This network has 186758 nodes and 233286 edges.
Tags: Economic, Employment, Unweighted
http…

product_space: Atlas of Economic Complexity export network
Two networks of economic products, where a pair of products are connected if they are exported at similar rates by the same countries. The data are a projection from a bipartite network of nations and the products they export. Edges weights represent a similarity score (called "proximity"). Data based on UN Comtrade worldwide trade patterns. SITC network based on the Standard International Trade Classification and HS …

jester: Jester joke ratings (2001)
Two bipartite networks of users and jokes, extracted from the online joke recommender system Jester. A user connects to all jokes for which that user entered a rating. Edge weights give the rating score, scaled from -10 to 10. The two files differ by how many joke nodes are included, 100 or 150.
This network has 73521 nodes and 4136360 edges.
Tags: Economic, Preferences, Weighted

New economic watchdog head aims to bust Ukraine's billion-dollar shadow economy: https://benborges.xyz/2025/10/01/new-economic-watchdog-head-aims.html

I cannot stress enough how effective economic attacks have been as a tool throughout US history. They're basically *the thing that works* historically.
Edit:
Someone else pointed out that the American Revolution started with a big economic blockade. The Civil Rights movement involved a boycott of Woolworths and there was the bus boycott. Yeah... lots of examples, and a lot of them ended with their demands being met.

dbpedia_producer: DBpedia producer network (2014)
A bipartite network of producers and the works they created, as extracted from Wikipedia by the DBpedia project.
This network has 187677 nodes and 207268 edges.
Tags: Economic, Production, Unweighted
https://networks.skewed.de/net/dbpedia

github: GitHub contest (2009)
The bipartite project-user membership network of the software development hosting site GitHub. A user connects to a project if that user is a member of that project.
This network has 177386 nodes and 440237 edges.
Tags: Economic, Production, Unweighted
https://networks.skewed.de/net/github

This is also a good way to make the protests actually valuable. The #NoKingsDay protests let people see how big the resistance was. It informed a section of the elite that their best bet was to resist rather than comply. The shutdown is already hurting the economy. The an economic blackout could be enough to break it... and we're all still waiting for the AI bubble to pop. It's gonna get really hot, really fast.
The great thing about the economic blackout as a strategy is that they don't have a mechanism to compel people to buy stuff. So it turns out that "make the economy scream" is a two player game. Go fucking figure.

Unstoppable economic crisis: Russian leaders take their own lives | Explainer: https://benborges.xyz/2025/09/23/unstoppable-economic-crisis-russian-leaders.html

product_space: Atlas of Economic Complexity export network
Two networks of economic products, where a pair of products are connected if they are exported at similar rates by the same countries. The data are a projection from a bipartite network of nations and the products they export. Edges weights represent a similarity score (called "proximity"). Data based on UN Comtrade worldwide trade patterns. SITC network based on the Standard International Trade Classification and HS …

jester: Jester joke ratings (2001)
Two bipartite networks of users and jokes, extracted from the online joke recommender system Jester. A user connects to all jokes for which that user entered a rating. Edge weights give the rating score, scaled from -10 to 10. The two files differ by how many joke nodes are included, 100 or 150.
This network has 73521 nodes and 4136360 edges.
Tags: Economic, Preferences, Weighted

European "socialism" is a compromise wherein the population gets services and, in exchange, the rich are allowed to continue to exist. This compromise developed to save capitalism from the threat of the working class just rising up and just doing it all themselves. Revolutions, it turns out, can be dangerous and may be subverted. It's generally safer, so Europe's working class decided, to accept some exploitation in exchange for not taking that chance.
The the strategy of "point guns at everyone until they comply" was a sustainable strategy, all of Europe would still be absolute monarchies, feudalism would still be the dominant economic system globally, and England would still control most of the land on Earth. Recognizing that this *isn't* the state of the world should give some clues as to how well Yarvin's ideas continue will play out in the real world.
#USPol

dbpedia_team: DBpedia athlete-team affiliations
Bipartite network of the affiliations (employment relations) between professional athletes and their teams, as extracted from Wikipedia by the DBpedia project.
This network has 935627 nodes and 1366466 edges.
Tags: Economic, Employment, Unweighted
https://netwo…

amazon_copurchases: Amazon co-purchasing network (2003)
Network of items for sale on amazon.com in 2003 and the items they "recommend" (via the "Customers Who Bought This Item Also Bought" feature). If one item is frequently co-purchased with another, then the first item recommends the second.
This network has 410236 nodes and 3356824 edges.
Tags: Economic, Commerce, Unweighted

product_space: Atlas of Economic Complexity export network
Two networks of economic products, where a pair of products are connected if they are exported at similar rates by the same countries. The data are a projection from a bipartite network of nations and the products they export. Edges weights represent a similarity score (called "proximity"). Data based on UN Comtrade worldwide trade patterns. SITC network based on the Standard International Trade Classification and HS …

github: GitHub contest (2009)
The bipartite project-user membership network of the software development hosting site GitHub. A user connects to a project if that user is a member of that project.
This network has 177386 nodes and 440237 edges.
Tags: Economic, Production, Unweighted
https://networks.skewed.de/net/github

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

fao_trade: FAO Multiplex Trade Network
Multiplex network representing trade relationships between countries from the Food and Agricultural Organization of the United Nations. Countries are nodes and edge types represent import/export of varying products. Data hosted by Manlio De Domenico.
This network has 214 nodes and 318346 edges.
Tags: Economic, Trade, Weighted, Multilayer

at_migrations: Austrian internal migrations (2002-2022)
A network of migrations between municipalities in Austria, from 2002 to 2022. A weighted directed link from source to target indicates a migration flow from these two municipalities. Edges are annotated with migration volume (number of people), nationality, sex, and year.
This network has 2115 nodes and 2908569 edges.
Tags: Social, Economic, Travel, Weighted, Politlcal, Timestamps, Metadata

dbpedia_recordlabel: DBpedia artist-label affiliations
Bipartite networks of the affiliations (contractual relations) between artists and the record labels under which they have performed, as extracted from Wikipedia by the DBpedia project.
This network has 186758 nodes and 233286 edges.
Tags: Economic, Employment, Unweighted
http…

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

jester: Jester joke ratings (2001)
Two bipartite networks of users and jokes, extracted from the online joke recommender system Jester. A user connects to all jokes for which that user entered a rating. Edge weights give the rating score, scaled from -10 to 10. The two files differ by how many joke nodes are included, 100 or 150.
This network has 73521 nodes and 4136360 edges.
Tags: Economic, Preferences, Weighted

dbpedia_team: DBpedia athlete-team affiliations
Bipartite network of the affiliations (employment relations) between professional athletes and their teams, as extracted from Wikipedia by the DBpedia project.
This network has 935627 nodes and 1366466 edges.
Tags: Economic, Employment, Unweighted
https://netwo…

digg_votes: Digg story votes (2009)
A bipartite network between users and stories on digg.com from 2009. Each user node connects to all story nodes on which that user voted. Edges are timestamped.
This network has 142962 nodes and 3018197 edges.
Tags: Economic, Preferences, Multigraph, Timestamps
https://netwo…

fao_trade: FAO Multiplex Trade Network
Multiplex network representing trade relationships between countries from the Food and Agricultural Organization of the United Nations. Countries are nodes and edge types represent import/export of varying products. Data hosted by Manlio De Domenico.
This network has 214 nodes and 318346 edges.
Tags: Economic, Trade, Weighted, Multilayer

amazon_copurchases: Amazon co-purchasing network (2003)
Network of items for sale on amazon.com in 2003 and the items they "recommend" (via the "Customers Who Bought This Item Also Bought" feature). If one item is frequently co-purchased with another, then the first item recommends the second.
This network has 262111 nodes and 1234877 edges.
Tags: Economic, Commerce, Unweighted

amazon_copurchases: Amazon co-purchasing network (2003)
Network of items for sale on amazon.com in 2003 and the items they "recommend" (via the "Customers Who Bought This Item Also Bought" feature). If one item is frequently co-purchased with another, then the first item recommends the second.
This network has 262111 nodes and 1234877 edges.
Tags: Economic, Commerce, Unweighted

dbpedia_team: DBpedia athlete-team affiliations
Bipartite network of the affiliations (employment relations) between professional athletes and their teams, as extracted from Wikipedia by the DBpedia project.
This network has 935627 nodes and 1366466 edges.
Tags: Economic, Employment, Unweighted
https://netwo…

epinions: Epinions product ratings (2005)
A bipartite network of users and the products they rated on the website Epinions.com. A user connects to all products on which that user entered a rating. Edge weight represents the rating score, and edges are timestamped.
This network has 876252 nodes and 13668320 edges.
Tags: Economic, Preferences, Timestamps, Weighted

bitcoin: Bitcoin transactions (2009-2013)
A network of Bitcoin transactions spanning January 2009 to April 2013. Nodes are public-key "addresses" at some time within the given period, and each edge is marked with the time (at a resolution of seconds) of the transaction.
This network has 6336770 nodes and 16057711 edges.
Tags: Economic, Cryptocurrency, Unweighted, Timestamps

amazon_copurchases: Amazon co-purchasing network (2003)
Network of items for sale on amazon.com in 2003 and the items they "recommend" (via the "Customers Who Bought This Item Also Bought" feature). If one item is frequently co-purchased with another, then the first item recommends the second.
This network has 410236 nodes and 3356824 edges.
Tags: Economic, Commerce, Unweighted

amazon_copurchases: Amazon co-purchasing network (2003)
Network of items for sale on amazon.com in 2003 and the items they "recommend" (via the "Customers Who Bought This Item Also Bought" feature). If one item is frequently co-purchased with another, then the first item recommends the second.
This network has 403394 nodes and 3387388 edges.
Tags: Economic, Commerce, Unweighted

eu_procurements_alt: EU national procurement networks (2008-2016)
These 234 networks represent the annual national public procurement markets of 26 European countries from 2008-2016, inclusive. Data is sourced from Tenders Electronic Daily (TED), the official procurement portal of the European Union.
This network has 10215 nodes and 11837 edges.
Tags: Economic, Commerce, Weighted, Temporal

jester: Jester joke ratings (2001)
Two bipartite networks of users and jokes, extracted from the online joke recommender system Jester. A user connects to all jokes for which that user entered a rating. Edge weights give the rating score, scaled from -10 to 10. The two files differ by how many joke nodes are included, 100 or 150.
This network has 73521 nodes and 4136360 edges.
Tags: Economic, Preferences, Weighted

product_space: Atlas of Economic Complexity export network
Two networks of economic products, where a pair of products are connected if they are exported at similar rates by the same countries. The data are a projection from a bipartite network of nations and the products they export. Edges weights represent a similarity score (called "proximity"). Data based on UN Comtrade worldwide trade patterns. SITC network based on the Standard International Trade Classification and HS …

dbpedia_writer: DBpedia writer network (2014)
A bipartite network of writers and the written works they created, as extracted from Wikipedia by the DBpedia project.
This network has 135569 nodes and 144340 edges.
Tags: Economic, Production, Unweighted
https://networks.skewed.de/net/dbpedia

dbpedia_starring: DBpedia film-actor network
A bipartite network of movies and the actors that played in them, as extracted from Wikipedia by the DBpedia project. The date of this snapshot is uncertain.
This network has 157184 nodes and 281396 edges.
Tags: Economic, Employment, Unweighted
https://network…

amazon_copurchases: Amazon co-purchasing network (2003)
Network of items for sale on amazon.com in 2003 and the items they "recommend" (via the "Customers Who Bought This Item Also Bought" feature). If one item is frequently co-purchased with another, then the first item recommends the second.
This network has 403394 nodes and 3387388 edges.
Tags: Economic, Commerce, Unweighted

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

bitcoin: Bitcoin transactions (2009-2013)
A network of Bitcoin transactions spanning January 2009 to April 2013. Nodes are public-key "addresses" at some time within the given period, and each edge is marked with the time (at a resolution of seconds) of the transaction.
This network has 6336770 nodes and 16057711 edges.
Tags: Economic, Cryptocurrency, Unweighted, Timestamps

dbpedia_team: DBpedia athlete-team affiliations
Bipartite network of the affiliations (employment relations) between professional athletes and their teams, as extracted from Wikipedia by the DBpedia project.
This network has 935627 nodes and 1366466 edges.
Tags: Economic, Employment, Unweighted
https://netwo…

github: GitHub contest (2009)
The bipartite project-user membership network of the software development hosting site GitHub. A user connects to a project if that user is a member of that project.
This network has 177386 nodes and 440237 edges.
Tags: Economic, Production, Unweighted
https://networks.skewed.de/net/github

digg_votes: Digg story votes (2009)
A bipartite network between users and stories on digg.com from 2009. Each user node connects to all story nodes on which that user voted. Edges are timestamped.
This network has 142962 nodes and 3018197 edges.
Tags: Economic, Preferences, Multigraph, Timestamps
https://netwo…

amazon_copurchases: Amazon co-purchasing network (2003)
Network of items for sale on amazon.com in 2003 and the items they "recommend" (via the "Customers Who Bought This Item Also Bought" feature). If one item is frequently co-purchased with another, then the first item recommends the second.
This network has 400727 nodes and 3200440 edges.
Tags: Economic, Commerce, Unweighted

product_space: Atlas of Economic Complexity export network
Two networks of economic products, where a pair of products are connected if they are exported at similar rates by the same countries. The data are a projection from a bipartite network of nations and the products they export. Edges weights represent a similarity score (called "proximity"). Data based on UN Comtrade worldwide trade patterns. SITC network based on the Standard International Trade Classification and HS …

dbpedia_producer: DBpedia producer network (2014)
A bipartite network of producers and the works they created, as extracted from Wikipedia by the DBpedia project.
This network has 187677 nodes and 207268 edges.
Tags: Economic, Production, Unweighted
https://networks.skewed.de/net/dbpedia

dbpedia_producer: DBpedia producer network (2014)
A bipartite network of producers and the works they created, as extracted from Wikipedia by the DBpedia project.
This network has 187677 nodes and 207268 edges.
Tags: Economic, Production, Unweighted
https://networks.skewed.de/net/dbpedia

amazon_copurchases: Amazon co-purchasing network (2003)
Network of items for sale on amazon.com in 2003 and the items they "recommend" (via the "Customers Who Bought This Item Also Bought" feature). If one item is frequently co-purchased with another, then the first item recommends the second.
This network has 403394 nodes and 3387388 edges.
Tags: Economic, Commerce, Unweighted

amazon_copurchases: Amazon co-purchasing network (2003)
Network of items for sale on amazon.com in 2003 and the items they "recommend" (via the "Customers Who Bought This Item Also Bought" feature). If one item is frequently co-purchased with another, then the first item recommends the second.
This network has 403394 nodes and 3387388 edges.
Tags: Economic, Commerce, Unweighted

at_migrations: Austrian internal migrations (2002-2022)
A network of migrations between municipalities in Austria, from 2002 to 2022. A weighted directed link from source to target indicates a migration flow from these two municipalities. Edges are annotated with migration volume (number of people), nationality, sex, and year.
This network has 2115 nodes and 2908569 edges.
Tags: Social, Economic, Travel, Weighted, Politlcal, Timestamps, Metadata

dbpedia_producer: DBpedia producer network (2014)
A bipartite network of producers and the works they created, as extracted from Wikipedia by the DBpedia project.
This network has 187677 nodes and 207268 edges.
Tags: Economic, Production, Unweighted
https://networks.skewed.de/net/dbpedia

eu_procurements_alt: EU national procurement networks (2008-2016)
These 234 networks represent the annual national public procurement markets of 26 European countries from 2008-2016, inclusive. Data is sourced from Tenders Electronic Daily (TED), the official procurement portal of the European Union.
This network has 1619 nodes and 3197 edges.
Tags: Economic, Commerce, Weighted, Temporal

epinions: Epinions product ratings (2005)
A bipartite network of users and the products they rated on the website Epinions.com. A user connects to all products on which that user entered a rating. Edge weight represents the rating score, and edges are timestamped.
This network has 876252 nodes and 13668320 edges.
Tags: Economic, Preferences, Timestamps, Weighted

bitcoin: Bitcoin transactions (2009-2013)
A network of Bitcoin transactions spanning January 2009 to April 2013. Nodes are public-key "addresses" at some time within the given period, and each edge is marked with the time (at a resolution of seconds) of the transaction.
This network has 6336770 nodes and 16057711 edges.
Tags: Economic, Cryptocurrency, Unweighted, Timestamps

stackoverflow: Stack Overflow favorites (2011)
A bipartite network of users and the posts they have favorited, from the online Q&A site Stack Overflow. An edge (i,j) connects a user i to a post j if that user "favorited" that post (a kind of a rating). Edges are timestamped.
This network has 641876 nodes and 1301942 edges.
Tags: Economic, Preferences, Unweighted, Timestamps

at_migrations: Austrian internal migrations (2002-2022)
A network of migrations between municipalities in Austria, from 2002 to 2022. A weighted directed link from source to target indicates a migration flow from these two municipalities. Edges are annotated with migration volume (number of people), nationality, sex, and year.
This network has 2115 nodes and 2908569 edges.
Tags: Social, Economic, Travel, Weighted, Politlcal, Timestamps, Metadata

bitcoin: Bitcoin transactions (2009-2013)
A network of Bitcoin transactions spanning January 2009 to April 2013. Nodes are public-key "addresses" at some time within the given period, and each edge is marked with the time (at a resolution of seconds) of the transaction.
This network has 6336770 nodes and 16057711 edges.
Tags: Economic, Cryptocurrency, Unweighted, Timestamps

dbpedia_starring: DBpedia film-actor network
A bipartite network of movies and the actors that played in them, as extracted from Wikipedia by the DBpedia project. The date of this snapshot is uncertain.
This network has 157184 nodes and 281396 edges.
Tags: Economic, Employment, Unweighted
https://network…

eu_procurements_alt: EU national procurement networks (2008-2016)
These 234 networks represent the annual national public procurement markets of 26 European countries from 2008-2016, inclusive. Data is sourced from Tenders Electronic Daily (TED), the official procurement portal of the European Union.
This network has 2586 nodes and 3548 edges.
Tags: Economic, Commerce, Weighted, Temporal

product_space: Atlas of Economic Complexity export network
Two networks of economic products, where a pair of products are connected if they are exported at similar rates by the same countries. The data are a projection from a bipartite network of nations and the products they export. Edges weights represent a similarity score (called "proximity"). Data based on UN Comtrade worldwide trade patterns. SITC network based on the Standard International Trade Classification and HS …

digg_votes: Digg story votes (2009)
A bipartite network between users and stories on digg.com from 2009. Each user node connects to all story nodes on which that user voted. Edges are timestamped.
This network has 142962 nodes and 3018197 edges.
Tags: Economic, Preferences, Multigraph, Timestamps
https://netwo…

epinions: Epinions product ratings (2005)
A bipartite network of users and the products they rated on the website Epinions.com. A user connects to all products on which that user entered a rating. Edge weight represents the rating score, and edges are timestamped.
This network has 876252 nodes and 13668320 edges.
Tags: Economic, Preferences, Timestamps, Weighted

stackoverflow: Stack Overflow favorites (2011)
A bipartite network of users and the posts they have favorited, from the online Q&A site Stack Overflow. An edge (i,j) connects a user i to a post j if that user "favorited" that post (a kind of a rating). Edges are timestamped.
This network has 641876 nodes and 1301942 edges.
Tags: Economic, Preferences, Unweighted, Timestamps

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

at_migrations: Austrian internal migrations (2002-2022)
A network of migrations between municipalities in Austria, from 2002 to 2022. A weighted directed link from source to target indicates a migration flow from these two municipalities. Edges are annotated with migration volume (number of people), nationality, sex, and year.
This network has 2115 nodes and 2908569 edges.
Tags: Social, Economic, Travel, Weighted, Politlcal, Timestamps, Metadata

product_space: Atlas of Economic Complexity export network
Two networks of economic products, where a pair of products are connected if they are exported at similar rates by the same countries. The data are a projection from a bipartite network of nations and the products they export. Edges weights represent a similarity score (called "proximity"). Data based on UN Comtrade worldwide trade patterns. SITC network based on the Standard International Trade Classification and HS …

bitcoin: Bitcoin transactions (2009-2013)
A network of Bitcoin transactions spanning January 2009 to April 2013. Nodes are public-key "addresses" at some time within the given period, and each edge is marked with the time (at a resolution of seconds) of the transaction.
This network has 6336770 nodes and 16057711 edges.
Tags: Economic, Cryptocurrency, Unweighted, Timestamps