Tootfinder

wordnet: WordNet relationships
A network of English words from the WordNet. Node is a word, and edge denotes relationships between words (synonymy, hyperonymy, meronymy, etc.). The date at which this network was extracted from WordNet is not unknown.
This network has 146005 nodes and 656999 edges.
Tags: Informational, Language, Unweighted
htt…

The product delivery lifecycle is composed of service relationships. AI's main value proposition is freedom from relationships.
When designers champion AI tools, we are not making ourselves layoff-proof. We are reinforcing a system that frames us as unnecessary friction.
If we don't want to serve as janitors for vibe prototypes, We must invest in deliberately designing the service relationships that make up the PDLC.

UX works through social relationships. AI tools are erasing them.
Stakeholders want to vibe code and have designers clean up after them afterwards. But rather than helping with velocity, there is just more noise and more work for everyone.

wordnet: WordNet relationships
A network of English words from the WordNet. Node is a word, and edge denotes relationships between words (synonymy, hyperonymy, meronymy, etc.). The date at which this network was extracted from WordNet is not unknown.
This network has 146005 nodes and 656999 edges.
Tags: Informational, Language, Unweighted
htt…

To ship better software, you need to hire expert people (it won’t be cheap) and work on research what problems your customers face, proper design (across many disciplines, from graphic design, interface design, user experience and all the way to the high-level and low-level technical implementation), realistic planning, marketing to reach potential customers and definitely spend a lot of time on building trustworthy relationships with your users.

After the whole Adam Something "dating advice for leftist men" thing, I realized I should probably write something about that. I didn't, but I realized I should. Here I am sort of getting around to it.
I had a friend call me an "elder" at one point. I was like 35 at that time, but like... a lot of old leftists are just dead or in prison, so we take what we can get I guess. Being also an elder in the sense that I'm an elder millennial, who is also a parent and married for almost 10 years and all that, I guess I'm technically qualified.
So here it is, dating advice for (straight cis) leftist men:
1. Don't.
That's it, actually. That's the whole thing. Let me explain a bit.
First of all, this is dating advice for neuroatypical folks. We're way overrepresented in both extremes because this system wasn't built for us. And that's who is *the most* confused by all the relationship stuff, and most likely to try to apply all this masculinity/manosphere bullshit. I'm also talking a bit from experience here, as a neruo-spicy trying to "figure out" how to date within a paradigm entirely built around neurotypicals and their relationships. It's garbage. Throw it out. There's nothing worth saving.
His video had some line comparing not having sex to your house being on fire. I'm not gonna bother to quote it because I'm busy with actual life. But like, that's exactly what I'm talking about. I recognize that and it's horribly destructive. Men who buy in to patriarchy actually believe this, because those men value themselves based on (hetro) sex. Yeah, if you think you're worthless because you aren't "getting laid" then yeah, you're gonna feel like that's an emergency.
"Dating" as a paradigm turns humans into roles. It dehumanizes us all, and thus makes human connection much harder. It is a game that, like thermonuclear war, can only be won by not playing.
When you abandon "dating" and just act like a human, everything starts to be easier. There's no such thing as being "friend zoned" because you're just friends. Sometimes friendships become other things, sometimes they don't. It doesn't actually matter, because if you're actually there for friendship then you don't *need* anything else.
My grandma, at 98 I think, gave me some advice. My grandparents always got along well, and were married for enough decades that I listened really closely. She told me I should just do things I loved to do and everything else would work itself out.
And it kind of did.
I understand the fear, the idea that you'll die alone. I get that. I get the loneliness. It all hits a lot harder when you have ADHD emotions and past trauma. I get that. But that fear is self-manifesting. When you build your confidence, when you don't *need* to be "in a relationship," you have more room to actually build relationships. For me, dating was dehumanizing. When I abandoned that, I was able to actually be a good partner, and I was able to find my partner.
I would advise against marriage as well, but we did get married for legal reasons. It can still be hard to maintain that, to see each other as people rather than roles. That becomes extra hard as parents. But the times that we cut through that are the times we're closest. Those are the times when it becomes easier to remember that we're both humans and all human relationships need tending.
Roles don't need to be tended because they are classifications. Classifications are static. But relationships between humans are not. Humans are messy and chaotic. Humans have all kinds of complex needs and desires.
So yeah, don't date. Just be a human and see what happens. Maybe google "relationship anarchy" and see where it takes you.
If you have ADHD, it can be especially useful to understand that relationships with neurotypical folks can be especially difficult. Assume you're incompatible with 90% of the population as your baseline, and you'll start to understand why the standard "dating" thing has made you feel so alienated and miserable.
Neurotypical folks generally have no idea that atypicality exists, much less how it impacts relationships. Having to conform to a neurotypical relationship just adds additional mental strain unless you find someone (really special) who can do at least some of the work.
The ADHD thing was especially important for me. There were so many things I was told to do in specific ways by neurotypicals that never worked for me. Their advice always made me feel like a failure. When I was finally diagnosed, I realized they were just giving advice for the wrong type of brain. It was advice I could never use. Basically all dating advice I ever got fell into this same category.
That's my braindump. Maybe I'll develop it more in the future, but I'm busy so maybe not. I hope it helps someone who is struggling like I was.

With the extension of the CVE record format in GCVE, we added the related vulnerabilities for the "recent" telnetd. Very nifty for analyst. The edit functionality in vulnerability-lookup supports the BCP-05 extensions including relationships.
Thanks to @… for digging

Saying partner is a very inclusive way to show support to all types of relationships. There are times I prefer partner over fiance as it feels more committed and doesn’t remind me of the wedding that is a long ways off due to immigration.

Plaid, which connects banks and fintechs, acquires This Week in Fintech, a newsletter with around 200K subscribers, as it seeks to broaden its products suite (Lucinda Shen/Axios)
https://www.axios.com/pro/fintech-deals/2026/03/25/plaid-media-this-week-in-f…

Exclusive: Plaid buys media company This Week in Fintech
It's first media buy comes as Plaid seeks to extend customer relationships.

RE: https://mastodon.energy/@TransitionShow/116132590105703966
Tune in for some great insights on how the energy transition is realigning geopolitics, global trade relationships, investment, hydrogen supply chains, and more, as well as the UK's …

It's What's Inside (2024) - Eight friends with somewhat messy relationships spend a night screwing around with mind swaps (or body swaps). It's cleverly constructed, and it does a lot to help you keep track of who's who, but I still got confused at a few points (mild face blindness doesn't help). It did all make sense on 2nd viewing.
Thrash pointed out that fursuiters can actually do this type of identity swap, but this movie does a few things that does need the mag…

There are days when I feel more lonely than usual, and I wonder if that will ever change. The problem is, there's a whole lot of unusual things I need, probably due to a combination of being on the spectrum, with all the oversensitivity of the senses, rich imagination and the trauma from past relationships.
So right now my girlfriend couldn't smoke, support capitalism, use strong perfumes, wear noisy shoes, jewelry, piercings, makeup, long nails, long/thick eyelashes… and probably there would be more if I put my mind to it. And it's only clear that the list will get longer with more experiences…
#ActuallyAutistic

I am completely fascinated by this small two-minute animation by eco feminist and punk rock musician(!) Catherine Weir.
It inhabits the same space as the work of Olga Tokarczuk. The sound is uplifting!
All my life I've felt that surrealism is one of the few art forms that can reveal the hidden relationships between nature and humanity.

Crossmodal interaction of flashes and beeps across time and number follows Bayesian causal inference #SiFI

Crossmodal interaction of flashes and beeps across time and number follows Bayesian causal inference - Psychonomic Bulletin & Review
Multisensory perception requires the brain to dynamically infer causal relationships between sensory inputs across various dimensions, such as temporal and spatial attributes. Traditionally, Bayesian Causal Inference (BCI) models have generally provided a robust framework for understanding sensory processing in unidimensional settings where stimuli across sensory modalities vary along one dimension such as spatial location, or numerosity (Samad et al., PloS one, 10 (2), e0117178, 2015). However…

From Isolation to Integration: Building an Adaptive Expert Forest for Pre-Trained Model-based Class-Incremental Learning
Ruiqi Liu, Boyu Diao, Hangda Liu, Zhulin An, Fei Wang, Yongjun Xu
https://arxiv.org/abs/2602.20911 https://arxiv.org/pdf/2602.20911 https://arxiv.org/html/2602.20911
arXiv:2602.20911v1 Announce Type: new
Abstract: Class-Incremental Learning (CIL) requires models to learn new classes without forgetting old ones. A common method is to freeze a pre-trained model and train a new, lightweight adapter for each task. While this prevents forgetting, it treats the learned knowledge as a simple, unstructured collection and fails to use the relationships between tasks. To this end, we propose the Semantic-guided Adaptive Expert Forest (SAEF), a new method that organizes adapters into a structured hierarchy for better knowledge sharing. SAEF first groups tasks into conceptual clusters based on their semantic relationships. Then, within each cluster, it builds a balanced expert tree by creating new adapters from merging the adapters of similar tasks. At inference time, SAEF finds and activates a set of relevant experts from the forest for any given input. The final prediction is made by combining the outputs of these activated experts, weighted by how confident each expert is. Experiments on several benchmark datasets show that SAEF achieves SOTA performance.
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wordnet: WordNet relationships
A network of English words from the WordNet. Node is a word, and edge denotes relationships between words (synonymy, hyperonymy, meronymy, etc.). The date at which this network was extracted from WordNet is not unknown.
This network has 146005 nodes and 656999 edges.
Tags: Informational, Language, Unweighted
htt…

'Guys can't get comfortable': Get to know new Cowboys DC Christian Parker https://cowboyswire.usatoday.com/story/sports/nfl/cowboys/2026/01/22/cowboys-christian-parker-quotes-accountabi…

CALL FOR PAPERS> Asian-Global Networks and Relationship in the Modern Spread of Buddhism
https://ift.tt/yC5Dgq0
Treaties and Empire Seminar Series: Trần Thị Xuân (Hamburg University) - Interpreters and Foreign…
via Input 4 RELCFP

moreno_sociograms: Moreno's sociograms (1934)
Relationships between pupils in a classroom. A directed edge exists if the source wants to sit next to the target. Each child can only choose two others.
This network has 32 nodes and 64 edges.
Tags: Social, Offline, Weighted
https://networks.ske…

Event: Relationships and Commitments: Land Beyond Ownership
There are ways to exist in harmony with all of creation that cultivate the soul and a relationship with the Divine. Hussein Rashid and Gordon Tucker bring Muslim and Jewish texts into dialogue to explore how religious traditions resist transactional relationships with the earth and with one

montreal: Montreal street gangs (2007)
Network representing relationships between gangs, obtained from Montreal Police’s central intelligence database, spanning 2004 to 2007. Nodes are gangs, and an edge represents some kind of relationship between two gangs (as elicited from interviews with gang members).
This network has 35 nodes and 78 edges.
Tags: Social, Affiliation, Unweighted

One more thought...
One of the more toxic elements of the whole "manosphere" thing relative to dating is the application of game theory to relationships. They've got people trying to "maximize their dating potential" or whatever, trying to find the "most attractive march" (which is it's own fucked up thing I'm not even going to dig in to). But that whole mindset is basically going to always leave you miserable.
Oh, you're single? You need a partner. Oh you have a partner? Could you get a "better" one?
It turns relationships into the endless pointless grind of capitalism. Fuck that. None of that shit makes sense. No matter how "well" you do in that game, you always feel like a loser. Everyone does. Fuck that game. Quit.
The constant desire makes you miserable and your misery makes you unlikable. When you let go of it, you leave room to experience what is instead of constantly imagining what could be.
You will always be able to imagine a better "could be" than what is now. By comparing your situation now to that "could be" you will always see your situation as bad because it's worse than your yardstick.
Is your situation good for you? Is it serving you? It can be good and it can also be possible to make it better. When was the last time you just experience your life instead of trying to strategize your way into "something better."
Throw away the yardstick. Something something Buddha.
Edit: all this is of course aside from the whole objectification thing, which is it's own whole set of fucked up. But yeah... All that shit is real bad news.

Every Womyn & Her Dog
This is a raw and embodied conversation space where modern women explore identity, leadership, relationships, motherhood, business, burnout, and the ongoing becoming of who they truly are...
Great Australian Pods Podcast Directory: https://www.greataustralianpods.com/every-

moreno_taro: Papuan gift-giving (1970)
A network of gift-giving relationships (taro exchange) among households in a Papuan village. Data collected by survey c.1970.
This network has 22 nodes and 78 edges.
Tags: Social, Offline, Unweighted
https://networks.skewed.de/net/moreno_ta…

For #IIIF / digital collections folk, 'Requirements for core Annotation properties' need review/input 'to define the requirements for relationships like body, target, motivation, source... these four are very inconsistent in the way they're used in Annotation documents'

Requirements for core Annotation properties · Issue #2426 · IIIF/api
In 4.0, we are importing the annotation properties to IIIF as the 3d work requires a lot of extensions and processing rules. This means that we need to define the requirements for relationships lik...

CALL FOR PAPERS> Asian-Global Networks and Relationship in the Modern Spread of Buddhism https://networks.h-net.org/group/announcements/20142729/call-papers-asian-global-networks-and-relationship-modern-spread…

montreal: Montreal street gangs (2007)
Network representing relationships between gangs, obtained from Montreal Police’s central intelligence database, spanning 2004 to 2007. Nodes are gangs, and an edge represents some kind of relationship between two gangs (as elicited from interviews with gang members).
This network has 35 nodes and 78 edges.
Tags: Social, Affiliation, Unweighted

I hate when my inability to have healthy relationships with women becomes a vaginal monster that eats me.

Scaling Vision Transformers: Evaluating DeepSpeed for Image-Centric Workloads
Huy Trinh, Rebecca Ma, Zeqi Yu, Tahsin Reza
https://arxiv.org/abs/2602.21081 https://arxiv.org/pdf/2602.21081 https://arxiv.org/html/2602.21081
arXiv:2602.21081v1 Announce Type: new
Abstract: Vision Transformers (ViTs) have demonstrated remarkable potential in image processing tasks by utilizing self-attention mechanisms to capture global relationships within data. However, their scalability is hindered by significant computational and memory demands, especially for large-scale models with many parameters. This study aims to leverage DeepSpeed, a highly efficient distributed training framework that is commonly used for language models, to enhance the scalability and performance of ViTs. We evaluate intra- and inter-node training efficiency across multiple GPU configurations on various datasets like CIFAR-10 and CIFAR-100, exploring the impact of distributed data parallelism on training speed, communication overhead, and overall scalability (strong and weak scaling). By systematically varying software parameters, such as batch size and gradient accumulation, we identify key factors influencing performance of distributed training. The experiments in this study provide a foundational basis for applying DeepSpeed to image-related tasks. Future work will extend these investigations to deepen our understanding of DeepSpeed's limitations and explore strategies for optimizing distributed training pipelines for Vision Transformers.
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law_firm: Lazega law firm network
Multiplex network with 3 edge types representing relationships (coworkers, friendship, advice) between partners and associates of a corporate law firm. Data hosted by Manlio De Domenico.
This network has 71 nodes and 2571 edges.
Tags: Social, Offline, Multilayer, Unweighted
https://net…

Ewers: Chose NFL over portal to cement UT ties https://www.espn.com/nfl/story/_/id/47465518/quinn-ewers-said-chose-nfl-preserve-texas-relationships

Event: Relationships and Commitments: Land Beyond Ownership
There are ways to exist in harmony with all of creation that cultivate the soul and a relationship with the Divine. Hussein Rashid and Gordon Tucker bring Muslim and Jewish texts into dialogue to explore how religious traditions resist transactional relationships with the earth and with one another.

Just finished "Match Point!" by Maddie Gallegos, an excellent graphic novel about racquetball, dumpster diving, best friends, and pressure from Dad. The characters and their fromance are super cute, and while I'm sure some might find the ending too happy, I'm usually fine with seeing the aspirational version of relationships because it can serve as a good role model, while other narratives can help explain how to handle worse outcomes.
#AmReading #ReadingNow

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

Lawmakers on Capitol Hill are accusing the Justice Department of
covering up the names of co-conspirators of the deceased sex offender Jeffrey Epstein
as fallout from the Epstein files grows across the globe.
Millions of pages remain unreleased.
As many prominent U.S. figures evade accountability following mentions in the Epstein files,
a number of European figures have resigned for their relationships with Epstein.
“The most extraordinary and worrying …

Protecting Pedophile Predators: Carole Cadwalladr on Jeffrey Epstein & the Elite’s Veil of Silence
Lawmakers on Capitol Hill are accusing the Justice Department of covering up the names of co-conspirators of the deceased sex offender Jeffrey Epstein as fallout from the Epstein files grows across the globe. Millions of pages remain unreleased. As many prominent U.S. figures evade accountability following mentions in the Epstein files, a number of European figures have resigned for their relationships with Epstein. “The most extraordinary and worrying thing of what is going on in the United …

Sensor Tower: dating app downloads in Saudi Arabia have risen annually for five years, hitting 3.5M in 2025, as liberalization enables more casual relationships (Omar Abdel-Baqui/Wall Street Journal)
https://www.wsj.com/world/middle-east/saud

ambassador: Philippines Ambassador bombing (2000)
A temporal network representing snapshots of relationships among individuals directly or indirectly associated with Philippines Ambassador Residence Bombing 2000, Jakarta. Nodes are people, and an edge exists if they are associated with each other. Definition of the edge weight is unknown.
This network has 16 nodes and 3 edges.
Tags: Social, Offline, Weighted, Temporal

CALL FOR PAPERS> Asian-Global Networks and Relationship in the Modern Spread of Buddhism https://networks.h-net.org/group/announcements/20142729/call-papers-asian-global-networks-and-relationship-modern-spread…

Comedians weigh risks of video podcast licensing deals with Netflix, which would require them to remove new episodes from YouTube, potentially alienating fans (Matt Grobar/Deadline)
https://deadline.com/2026/02/netflix-video-podcasts-analysis-deal-analy…

As Netflix Targets Podcasts, Comics Weigh The Risk Of Leaving YouTube
As Netflix pushes deeper into video podcasts, comedy sources weigh licensing upside against the risks of losing direct fan relationships on YouTube.

ambassador: Philippines Ambassador bombing (2000)
A temporal network representing snapshots of relationships among individuals directly or indirectly associated with Philippines Ambassador Residence Bombing 2000, Jakarta. Nodes are people, and an edge exists if they are associated with each other. Definition of the edge weight is unknown.
This network has 16 nodes and 69 edges.
Tags: Social, Offline, Weighted, Temporal

Sparse Bayesian Deep Functional Learning with Structured Region Selection
Xiaoxian Zhu, Yingmeng Li, Shuangge Ma, Mengyun Wu
https://arxiv.org/abs/2602.20651 https://arxiv.org/pdf/2602.20651 https://arxiv.org/html/2602.20651
arXiv:2602.20651v1 Announce Type: new
Abstract: In modern applications such as ECG monitoring, neuroimaging, wearable sensing, and industrial equipment diagnostics, complex and continuously structured data are ubiquitous, presenting both challenges and opportunities for functional data analysis. However, existing methods face a critical trade-off: conventional functional models are limited by linearity, whereas deep learning approaches lack interpretable region selection for sparse effects. To bridge these gaps, we propose a sparse Bayesian functional deep neural network (sBayFDNN). It learns adaptive functional embeddings through a deep Bayesian architecture to capture complex nonlinear relationships, while a structured prior enables interpretable, region-wise selection of influential domains with quantified uncertainty. Theoretically, we establish rigorous approximation error bounds, posterior consistency, and region selection consistency. These results provide the first theoretical guarantees for a Bayesian deep functional model, ensuring its reliability and statistical rigor. Empirically, comprehensive simulations and real-world studies confirm the effectiveness and superiority of sBayFDNN. Crucially, sBayFDNN excels in recognizing intricate dependencies for accurate predictions and more precisely identifies functionally meaningful regions, capabilities fundamentally beyond existing approaches.
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high_tech_company: Krackhardt high tech company network
Multiplex network of 3 edge types representing relationships (advice, friendship, and “reports to”) between managers of a high-tech company. Data hosted by Manlio De Domenico.
This network has 21 nodes and 312 edges.
Tags: Social, Offline, Multilayer, Unweighted
https://

CALL FOR PAPERS> Asian-Global Networks and Relationship in the Modern Spread of Buddhism https://networks.h-net.org/group/announcements/20142729/call-papers-asian-global-networks-and-relationship-modern-spread…

I've mentioned it before, and I'm sure I will again, but, as much as there's a reason why I reject Christianity, there were also a lot of good things. Churches have governing bodies (with varying degrees of democratic representation) that guide the ministry (preaching and actions) as well as managing logistics (building maintenance, accounting, etc). This provides opportunities for self-governed collective action.
Quakers are the most radical in terms of this, and are basically anarchists. Quaker circles often meet at people's houses and can be as small as 3 people. There is often no leadership. A Quaker service could easily just be everyone sitting in a circle and someone talking at one point.
I grew up in a Presbyterian church, and one of my first jobs (at 11 or 12) was landscaping there. Within the church there were a lot of different trades, which meant that you could volunteer time and learn basically any kind of maintenance. Basically everything that needed to be done was done in-house. This also meant that if you needed a plumber, an electrician, etc, that you could pick one from within the church.
I remember painting the church, learning how to paint, with a bunch of other members of the congregation at a work party. I also remember being volunteered for child care during choir. There were a few rooms around that were used for different things, such as music practice. But these rooms could be made available for any type of community activity. This can actually include community organizing. In fact, Seattle GDC was offered an occasional space for organizing in a church (we didn't take it, but appreciated the offer), and that same church hosted a lot of other community events. I actually went to a queer relationships skills class once hosted in a church, which was great.
What I'm saying is that churches often act as a kind of parallel society up-to-and-including acting as dual power structures....

I just published The Open Contributions Descriptor format as an IETF Internet-Draft.
#opensource #opendata #openstandard

Life In The Grey
Where we explore the psychological factors that shape our relationships, be that as a parent, a partner, or a peer...
Great Australian Pods Podcast Directory: https://www.greataustralianpods.com/life-in-the-grey/

cs_department: Aarhus Computer Science department relationships
Multiplex network consisting of 5 edge types corresponding to online and offline relationships (Facebook, leisure, work, co-authorship, lunch) between employees of the Computer Science department at Aarhus. Data hosted by Manlio De Domenico.
This network has 61 nodes and 620 edges.
Tags: Social, Relationships, Multilayer, Unweighted

cs_department: Aarhus Computer Science department relationships
Multiplex network consisting of 5 edge types corresponding to online and offline relationships (Facebook, leisure, work, co-authorship, lunch) between employees of the Computer Science department at Aarhus. Data hosted by Manlio De Domenico.
This network has 61 nodes and 620 edges.
Tags: Social, Relationships, Multilayer, Unweighted

Meanwhile, tante points out these flaws but raises some questionable arguments of their own.
"The second aspect is often illustrated by how ships are organized: Because ships are sometimes in dangerous situations and sometimes critical decisions need to be made, the existence of ships implies the existence of a hierarchy of power relationships with a captain having the final say. Because democracy would be too slow at times."
OK, so are ships inherently authoritarian? There's a whole history of pirates who would argue otherwise...

A profile of Bari Weiss and an in-depth look at her hostile takeover of CBS News; a source says Weiss has said she is pursuing a "de-Baathification of CBS" (Clare Malone/New Yorker)
https://www.newyorker.com/magazine/2026/01

Inside Bari Weiss’s Hostile Takeover of CBS News
A Profile of the new editor-in-chief, covering her previous work at the Times and The Free Press and her work and relationships with Larry and David Ellison, Donald Trump, Sharyn Alfonsi, and Tony Dokoupil.

caida_as: CAIDA AS graphs (2004-2007)
A sequence of 122 network snapshots denoting Autonomous System (AS) relationships on the Internet, from 2004-2007, inferred using the Serial-1 method from RouteViews BGP table snapshots and a set of heuristics.
This network has 18740 nodes and 77002 edges.
Tags: Technological, Communication, Unweighted, Temporal

wordnet: WordNet relationships
A network of English words from the WordNet. Node is a word, and edge denotes relationships between words (synonymy, hyperonymy, meronymy, etc.). The date at which this network was extracted from WordNet is not unknown.
This network has 146005 nodes and 656999 edges.
Tags: Informational, Language, Unweighted
htt…

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

law_firm: Lazega law firm network
Multiplex network with 3 edge types representing relationships (coworkers, friendship, advice) between partners and associates of a corporate law firm. Data hosted by Manlio De Domenico.
This network has 71 nodes and 2571 edges.
Tags: Social, Offline, Multilayer, Unweighted
https://net…

cs_department: Aarhus Computer Science department relationships
Multiplex network consisting of 5 edge types corresponding to online and offline relationships (Facebook, leisure, work, co-authorship, lunch) between employees of the Computer Science department at Aarhus. Data hosted by Manlio De Domenico.
This network has 61 nodes and 620 edges.
Tags: Social, Relationships, Multilayer, Unweighted

florentine_families: Padgett Florentine families
Multiplex network with 2 edge types representing marriage alliances and business relationships between Florentine families during the Italian Renaissance. Data hosted by Manlio De Domenico.
This network has 16 nodes and 35 edges.
Tags: Social, Relationships, Multilayer, Unweighted
…

bitcoin_trust: Bitcoin OTC trust network (2017)
A network of who-trusts-whom relationships among users of the Bitcoin OTC 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 5881 nodes and 35592 edges.
Tags: Social, Online, Weighted, Signed, Timestamps

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

wordnet: WordNet relationships
A network of English words from the WordNet. Node is a word, and edge denotes relationships between words (synonymy, hyperonymy, meronymy, etc.). The date at which this network was extracted from WordNet is not unknown.
This network has 146005 nodes and 656999 edges.
Tags: Informational, Language, Unweighted
htt…

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

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

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

bitcoin_trust: Bitcoin OTC trust network (2017)
A network of who-trusts-whom relationships among users of the Bitcoin OTC 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 5881 nodes and 35592 edges.
Tags: Social, Online, Weighted, Signed, Timestamps

ambassador: Philippines Ambassador bombing (2000)
A temporal network representing snapshots of relationships among individuals directly or indirectly associated with Philippines Ambassador Residence Bombing 2000, Jakarta. Nodes are people, and an edge exists if they are associated with each other. Definition of the edge weight is unknown.
This network has 16 nodes and 69 edges.
Tags: Social, Offline, Weighted, Temporal

ambassador: Philippines Ambassador bombing (2000)
A temporal network representing snapshots of relationships among individuals directly or indirectly associated with Philippines Ambassador Residence Bombing 2000, Jakarta. Nodes are people, and an edge exists if they are associated with each other. Definition of the edge weight is unknown.
This network has 16 nodes and 69 edges.
Tags: Social, Offline, Weighted, Temporal

wiki_rfa: Wikipedia RfA voting network (2013)
The set of all votes on Requests for Adminships (RfA), from 2003 to May 2013, represented as a directed, signed network in which nodes represent Wikipedia members and edges represent votes.
This network has 11381 nodes and 198275 edges.
Tags: Social, Relationships, Signed
https://

epinions_trust: Epinions trust network (2003)
A who-trusts-whom online social network of the general consumer review site Epinions.com. Members can decide whether to "trust" each other. These trust relationships are combined with review ratings to determine which reviews are shown to the user.
This network has 75888 nodes and 508837 edges.
Tags: Social, Online, Unweighted

cs_department: Aarhus Computer Science department relationships
Multiplex network consisting of 5 edge types corresponding to online and offline relationships (Facebook, leisure, work, co-authorship, lunch) between employees of the Computer Science department at Aarhus. Data hosted by Manlio De Domenico.
This network has 61 nodes and 620 edges.
Tags: Social, Relationships, Multilayer, Unweighted

academia_edu: Academica.edu (2011)
Snapshot of the follower relationships among users of academia.edu, a platform for academics to share research papers, scraped in 2011. Nodes are users and a directed edge (i,j) denotes that user i follows j.
This network has 200169 nodes and 1398063 edges.
Tags: Social, Online, Unweighted
https://

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

bitcoin_trust: Bitcoin OTC trust network (2017)
A network of who-trusts-whom relationships among users of the Bitcoin OTC 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 5881 nodes and 35592 edges.
Tags: Social, Online, Weighted, Signed, Timestamps

physician_trust: Physician trust network (1966)
A network of trust relationships among physicians in four midwestern (USA) cities in 1966. Edge direction indicates that node i trusts or asks for advice from node j. Each of the four components represent the network within a given city.
This network has 241 nodes and 1098 edges.
Tags: Social, Offline, Unweighted

cs_department: Aarhus Computer Science department relationships
Multiplex network consisting of 5 edge types corresponding to online and offline relationships (Facebook, leisure, work, co-authorship, lunch) between employees of the Computer Science department at Aarhus. Data hosted by Manlio De Domenico.
This network has 61 nodes and 620 edges.
Tags: Social, Relationships, Multilayer, Unweighted

physician_trust: Physician trust network (1966)
A network of trust relationships among physicians in four midwestern (USA) cities in 1966. Edge direction indicates that node i trusts or asks for advice from node j. Each of the four components represent the network within a given city.
This network has 241 nodes and 1098 edges.
Tags: Social, Offline, Unweighted

twitter: Twitter followers (2010)
A directed network of following relationships from Twitter, from a snowball sample crawl across "quality" users in 2009. A directed edge (i, j) indicates that user i follows user j.
This network has 465017 nodes and 834797 edges.
Tags: Social, Online, Unweighted
https://network…

twitter: Twitter followers (2010)
A directed network of following relationships from Twitter, from a snowball sample crawl across "quality" users in 2009. A directed edge (i, j) indicates that user i follows user j.
This network has 465017 nodes and 834797 edges.
Tags: Social, Online, Unweighted
https://network…

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

wordnet: WordNet relationships
A network of English words from the WordNet. Node is a word, and edge denotes relationships between words (synonymy, hyperonymy, meronymy, etc.). The date at which this network was extracted from WordNet is not unknown.
This network has 146005 nodes and 656999 edges.
Tags: Informational, Language, Unweighted
htt…

ambassador: Philippines Ambassador bombing (2000)
A temporal network representing snapshots of relationships among individuals directly or indirectly associated with Philippines Ambassador Residence Bombing 2000, Jakarta. Nodes are people, and an edge exists if they are associated with each other. Definition of the edge weight is unknown.
This network has 16 nodes and 1 edges.
Tags: Social, Offline, Weighted, Temporal

cs_department: Aarhus Computer Science department relationships
Multiplex network consisting of 5 edge types corresponding to online and offline relationships (Facebook, leisure, work, co-authorship, lunch) between employees of the Computer Science department at Aarhus. Data hosted by Manlio De Domenico.
This network has 61 nodes and 620 edges.
Tags: Social, Relationships, Multilayer, Unweighted

epinions_trust: Epinions trust network (2003)
A who-trusts-whom online social network of the general consumer review site Epinions.com. Members can decide whether to "trust" each other. These trust relationships are combined with review ratings to determine which reviews are shown to the user.
This network has 75888 nodes and 508837 edges.
Tags: Social, Online, Unweighted

moreno_taro: Papuan gift-giving (1970)
A network of gift-giving relationships (taro exchange) among households in a Papuan village. Data collected by survey c.1970.
This network has 22 nodes and 78 edges.
Tags: Social, Offline, Unweighted
https://networks.skewed.de/net/moreno_ta…

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

florentine_families: Padgett Florentine families
Multiplex network with 2 edge types representing marriage alliances and business relationships between Florentine families during the Italian Renaissance. Data hosted by Manlio De Domenico.
This network has 16 nodes and 35 edges.
Tags: Social, Relationships, Multilayer, Unweighted
…

cs_department: Aarhus Computer Science department relationships
Multiplex network consisting of 5 edge types corresponding to online and offline relationships (Facebook, leisure, work, co-authorship, lunch) between employees of the Computer Science department at Aarhus. Data hosted by Manlio De Domenico.
This network has 61 nodes and 620 edges.
Tags: Social, Relationships, Multilayer, Unweighted

moreno_sociograms: Moreno's sociograms (1934)
Relationships between pupils in a classroom. A directed edge exists if the source wants to sit next to the target. Each child can only choose two others.
This network has 45 nodes and 69 edges.
Tags: Social, Offline, Weighted
https://networks.ske…

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

facebook_wall: Facebook wall posts (2009)
Friendship relationships and interactions (wall posts) for a subset of the Facebook social network in 2009, recorded over a 2 year period. Edge directed edge represents a post by one user on another user's FB wall.
This network has 46952 nodes and 876993 edges.
Tags: Social, Online, Temporal, Multigraph

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

florentine_families: Padgett Florentine families
Multiplex network with 2 edge types representing marriage alliances and business relationships between Florentine families during the Italian Renaissance. Data hosted by Manlio De Domenico.
This network has 16 nodes and 35 edges.
Tags: Social, Relationships, Multilayer, Unweighted
…

cs_department: Aarhus Computer Science department relationships
Multiplex network consisting of 5 edge types corresponding to online and offline relationships (Facebook, leisure, work, co-authorship, lunch) between employees of the Computer Science department at Aarhus. Data hosted by Manlio De Domenico.
This network has 61 nodes and 620 edges.
Tags: Social, Relationships, Multilayer, Unweighted

wordnet: WordNet relationships
A network of English words from the WordNet. Node is a word, and edge denotes relationships between words (synonymy, hyperonymy, meronymy, etc.). The date at which this network was extracted from WordNet is not unknown.
This network has 146005 nodes and 656999 edges.
Tags: Informational, Language, Unweighted
htt…

cs_department: Aarhus Computer Science department relationships
Multiplex network consisting of 5 edge types corresponding to online and offline relationships (Facebook, leisure, work, co-authorship, lunch) between employees of the Computer Science department at Aarhus. Data hosted by Manlio De Domenico.
This network has 61 nodes and 620 edges.
Tags: Social, Relationships, Multilayer, Unweighted

ambassador: Philippines Ambassador bombing (2000)
A temporal network representing snapshots of relationships among individuals directly or indirectly associated with Philippines Ambassador Residence Bombing 2000, Jakarta. Nodes are people, and an edge exists if they are associated with each other. Definition of the edge weight is unknown.
This network has 16 nodes and 1 edges.
Tags: Social, Offline, Weighted, Temporal

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

physician_trust: Physician trust network (1966)
A network of trust relationships among physicians in four midwestern (USA) cities in 1966. Edge direction indicates that node i trusts or asks for advice from node j. Each of the four components represent the network within a given city.
This network has 241 nodes and 1098 edges.
Tags: Social, Offline, Unweighted

cs_department: Aarhus Computer Science department relationships
Multiplex network consisting of 5 edge types corresponding to online and offline relationships (Facebook, leisure, work, co-authorship, lunch) between employees of the Computer Science department at Aarhus. Data hosted by Manlio De Domenico.
This network has 61 nodes and 620 edges.
Tags: Social, Relationships, Multilayer, Unweighted

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

montreal: Montreal street gangs (2007)
Network representing relationships between gangs, obtained from Montreal Police’s central intelligence database, spanning 2004 to 2007. Nodes are gangs, and an edge represents some kind of relationship between two gangs (as elicited from interviews with gang members).
This network has 35 nodes and 78 edges.
Tags: Social, Affiliation, Unweighted

caida_as: CAIDA AS graphs (2004-2007)
A sequence of 122 network snapshots denoting Autonomous System (AS) relationships on the Internet, from 2004-2007, inferred using the Serial-1 method from RouteViews BGP table snapshots and a set of heuristics.
This network has 25158 nodes and 102468 edges.
Tags: Technological, Communication, Unweighted, Temporal

moreno_taro: Papuan gift-giving (1970)
A network of gift-giving relationships (taro exchange) among households in a Papuan village. Data collected by survey c.1970.
This network has 22 nodes and 78 edges.
Tags: Social, Offline, Unweighted
https://networks.skewed.de/net/moreno_ta…