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

On Identifying Why and When Foundation Models Perform Well on Time-Series Forecasting Using Automated Explanations and Rating
Michael Widener, Kausik Lakkaraju, John Aydin, Biplav Srivastava
https://arxiv.org/abs/2508.20437

On Identifying Why and When Foundation Models Perform Well on Time-Series Forecasting Using Automated Explanations and Rating
Time-series forecasting models (TSFM) have evolved from classical statistical methods to sophisticated foundation models, yet understanding why and when these models succeed or fail remains challenging. Despite this known limitation, time series forecasting models are increasingly used to generate information that informs real-world actions with equally real consequences. Understanding the complexity, performance variability, and opaque nature of these models then becomes a valuable endeavor to…

Apple-owned Beats announces the $200 Powerbeats Fit, with a redesigned wingtip, IPX4 rating for the case, ANC, and Apple's H1 chip, available October 2 (Chris Welch/Bloomberg)
https://www.bloomberg.com/news/articles/202…

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

Bridging the behavior-neural gap: A multimodal AI reveals the brain's geometry of emotion more accurately than human self-reports
Changde Du, Yizhuo Lu, Zhongyu Huang, Yi Sun, Zisen Zhou, Shaozheng Qin, Huiguang He
https://arxiv.org/abs/2509.24298

Bridging the behavior-neural gap: A multimodal AI reveals the brain's geometry of emotion more accurately than human self-reports
The ability to represent emotion plays a significant role in human cognition and social interaction, yet the high-dimensional geometry of this affective space and its neural underpinnings remain debated. A key challenge, the `behavior-neural gap,' is the limited ability of human self-reports to predict brain activity. Here we test the hypothesis that this gap arises from the constraints of traditional rating scales and that large-scale similarity judgments can more faithfully capture the brain'…

Google: IP68 schützt nicht dauerhaft vor Wasser und Staub
Viele moderne Smartphones und auch andere mobile Gadgets sind laut IP-Rating gegen das Eindringen von Wasser geschützt. Doch das hilft nicht dauerhaft.
htt…

Sleep and Activity Patterns as Transdiagnostic Behavioral Biomarkers in Psychiatry: Initial Insights from the DeeP-DD study
Dylan Hamitouche, Tihare Zamorano, Youcef Barkat, Deven Parekh, Lena Palaniyappan, David Benrimoh
https://arxiv.org/abs/2507.22088

Sleep and Activity Patterns as Transdiagnostic Behavioral Biomarkers in Psychiatry: Initial Insights from the DeeP-DD study
Background: Symptom rating scales in psychiatry are limited by reliance on self-report, and lack of predictive power. Actigraphy, a passive wearable-based method for measuring sleep and physical activity, offers objective, high-resolution behavioral data that may better reflect symptom fluctuations, but most studies have focused on narrow diagnostic groups or fixed time windows, limiting clinical translation. Objective: To examine whether actigraphy-derived sleep and activity features correlate…

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

Rating 26 years of #Java changes
https://neilmadden.blog/2025/09/12/rating-26-years-of-java-changes/

escorts: Brazilian prostitution network (2010)
A bipartite network of escort and individuals who buy sex from them in Brazil, extracted from a Brazilian online community for such ratings. Edges represent a purchase of sexual intercourse with an escort, and the edge weight gives the buyer's rating of the escort: -1 (bad), 0 (neutral), or 1 (good). Other edge attributes are available. Edges are timestamped.
This network has 16730 nodes and 50632 edges.
Tags: Social, Publ…

☕ Rating 26 years of Java changes
#programming

Rating 26 years of Java changes
I first started programming Java at IBM back in 1999 as a Pre-University Employee. If I remember correctly, we had Java 1.1.8 installed at that time, but were moving to Java 1.2 (“Java 2”), which w…

Hurts uncovers his 'swag,' helps Eagles stop skid https://www.espn.com/nfl/story/_/id/46653406/jalen-hurts-authors-perfect-passer-rating-eagles-victory

ReviewGraph: A Knowledge Graph Embedding Based Framework for Review Rating Prediction with Sentiment Features
A. J. W. de Vink, Natalia Amat-Lefort, Lifeng Han
https://arxiv.org/abs/2508.13953

ReviewGraph: A Knowledge Graph Embedding Based Framework for Review Rating Prediction with Sentiment Features
In the hospitality industry, understanding the factors that drive customer review ratings is critical for improving guest satisfaction and business performance. This work proposes ReviewGraph for Review Rating Prediction (RRP), a novel framework that transforms textual customer reviews into knowledge graphs by extracting (subject, predicate, object) triples and associating sentiment scores. Using graph embeddings (Node2Vec) and sentiment features, the framework predicts review rating scores thr…

Raiders report: Ashton Jeanty unimpressed by viral run, Madden rating https://www.reviewjournal.com/sports/raiders/raiders-report-ashton-jeanty-unimpressed-by-viral-run-madden-rating-3426638/

Trump's approval rating dips again in new Pew survey, hits 38% (Zac Anderson/USA Today)
https://www.usatoday.com/story/news/politics/2025/08/14/donald-trump-pew-research-center-approval-rating/85663592007/
http://www.memeorandum.com/250814/p138#a250814p138

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

#Brightline , the only privately run inter-city rail route in the United States that keeps getting handouts from government is in bad financial position.
They mainly offer service in Florida right now but are planning extension in California/Nevada
Turns out private rail might be hard to make money from, what a surprise.

"New research links hurricane size surges to local ocean temperature spikes"
#Climate #ClimateChange
https://

New research links hurricane size surges to local ocean temperature spikes
When people hear about hurricanes, they often focus on the category rating: Category 1 through 5, based on maximum wind speeds. But not all hurricanes with the same wind speeds are alike. Some are compact storms while others can span the size of entire states. Larger hurricanes bring far greater damage, generating wider footprints of high winds, heavier rainfall and more dangerous storm surge.

My friend Carlos knows better how to spend his time than on social media, so I can't tag him here, but he knows everything about statistics and Star Wars.
The thing is, my kids want to watch the clone wars series and I hate the idea because I think it's dull. But Carlos gave me a list of all episodes with "need to watch" rating (and in a better order!) so that we watch only the story arcs and skip all fillers. Now Clone Wars is tolerable for me!
1/2
https://pixelfed.de/p/CombSynPeople/889113283333962949

Interesting corollary to the #Perseverance discovery in the Bright Angel formation on #Mars making headlines 1 1/2 months ago: at a public talk in Bochum as part of a mathematics outreach event - #Life Detection scale #MarsSampleReturnMission the rating could jump up to 5 or 6 after lab analysis.
Green also remarked that the sample tubes dropped by Percy are up for grabs for *any* spacefaring nation capable of doing a MSRM - including China though they don't plan to go after the Percy samples with their upcoming #Tianwen3 mission (https://en.wikipedia.org/wiki/Tianwen-3) as far as he has heard. And regardless of where they'll get their own samples they could advance the case for life, perhaps even extant, on Mars a lot - which Green feels has been all but made in the past decades of Mars research anyway. Oh, and he also thinks terraforming Mars is quite viable ...

Google unveils the $1,799 Pixel 10 Pro Fold, with a Tensor G5 chip, a new hinge with a gear-less design, 6.4" outer and 8" inner screens, available October 9 (Allison Johnson/The Verge)
https://www.theverge.com/hands-on/762080/google-pixel-10-pro…

The Google Pixel 10 Pro Fold is the first fully dust-resistant foldable
Google’s third folding phone is the first to come with full dust protection thanks to a new hinge.

Etwas mehr der heute besonders häufig geteilten #News:
Google: IP68 schützt nicht dauerhaft vor Wasser und Staub
https:…

Comparative Study of Subjective Video Quality Assessment Test Methods in Crowdsourcing for Varied Use Cases
Babak Naderi, Ross Cutler
https://arxiv.org/abs/2509.20118 https://…

Comparative Study of Subjective Video Quality Assessment Test Methods in Crowdsourcing for Varied Use Cases
In crowdsourced subjective video quality assessment, practitioners often face a choice between Absolute Category Rating (ACR), ACR with Hidden Reference (ACR-HR), and Comparison Category Rating (CCR). We conducted a P.910-compliant, side-by-side comparison across six studies using 15 talking-head sources of good and fair quality, processed with realistic degradations (blur, scaling, compression, freezing, and their combinations), as well as a practical bitrate-ladder task at 720p and 1080p reso…

Can someone please explain to me how Trump, a fascist lunatic, gets a 43% approval rating, while destroying the USA and all it stood for….
#trump #usa

Video-Based MPAA Rating Prediction: An Attention-Driven Hybrid Architecture Using Contrastive Learning
Dipta Neogi, Nourash Azmine Chowdhury, Muhammad Rafsan Kabir, Mohammad Ashrafuzzaman Khan
https://arxiv.org/abs/2509.06826

Video-Based MPAA Rating Prediction: An Attention-Driven Hybrid Architecture Using Contrastive Learning
The rapid growth of visual content consumption across platforms necessitates automated video classification for age-suitability standards like the MPAA rating system (G, PG, PG-13, R). Traditional methods struggle with large labeled data requirements, poor generalization, and inefficient feature learning. To address these challenges, we employ contrastive learning for improved discrimination and adaptability, exploring three frameworks: Instance Discrimination, Contextual Contrastive Learning, …

libimseti: Libimseti.cz social network (2012)
A network of ratings given between users at Libimseti.cz, a Czech online dating website. A directed edge (i,j) means that user i rate user j, and the corresponding edge weight is the given rating, on a scale of 1-10.
This network has 220970 nodes and 17359346 edges.
Tags: Social, Online, Weighted

#FediLZ #EnglishEd

Journeys In Film (@JourneysInFilm@hcommons.social)
Angehängt: 1 Bild Announcing the new Journeys in Film website! We rebuilt it from the ground up to make it easier for you to find what you need and download what you want. - 1-click downloads: no login or checkout required! - Growing collection of single-lesson downloads. - Library sortable by elementary, middle school, high school, higher ed/adult ed and lesson collections. - Filters to search materials by subject, grade, resource type and theme. - Filters to search films by rating and run…

"I think this is fair'': Uncovering the Complexities of Stakeholder Decision-Making in AI Fairness Assessment
Lin Luo, Yuri Nakao, Mathieu Chollet, Hiroya Inakoshi, Simone Stumpf
https://arxiv.org/abs/2509.17956

"I think this is fair'': Uncovering the Complexities of Stakeholder Decision-Making in AI Fairness Assessment
Assessing fairness in artificial intelligence (AI) typically involves AI experts who select protected features, fairness metrics, and set fairness thresholds. However, little is known about how stakeholders, particularly those affected by AI outcomes but lacking AI expertise, assess fairness. To address this gap, we conducted a qualitative study with 30 stakeholders without AI expertise, representing potential decision subjects in a credit rating scenario, to examine how they assess fairness wh…

Trump's Tariffs and 'One Big Beautiful Bill' Face More Opposition Than Support as His Job Rating Slips (Pew Research Center)
https://www.pewresearch.org/politics/2025/08/14/trumps-tariffs-and-one-big-beautiful-bill-face-more-opposition-than-support-as-his-job-rating-slips/
http://www.memeorandum.com/250814/p127#a250814p127

Predicting Credit Spreads and Ratings with Machine Learning: The Role of Non-Financial Data
Yanran Wu, Xinlei Zhang, Quanyi Xu, Qianxin Yang, Chao Zhang
https://arxiv.org/abs/2509.19042

Path-dependent, ESG-valued, option pricing in the Bachelier-Black-Scholes-Merton model
Bhathiya Divelgama, Nancy Asare Nyarko, W. Brent Lindquist, Svetlozar T. Rachev, Blessing Omotade
https://arxiv.org/abs/2509.18099

CreditARF: A Framework for Corporate Credit Rating with Annual Report and Financial Feature Integration
Yumeng Shi, Zhongliang Yang, DiYang Lu, Yisi Wang, Yiting Zhou, Linna Zhou
https://arxiv.org/abs/2508.02738

CreditARF: A Framework for Corporate Credit Rating with Annual Report and Financial Feature Integration
Corporate credit rating serves as a crucial intermediary service in the market economy, playing a key role in maintaining economic order. Existing credit rating models rely on financial metrics and deep learning. However, they often overlook insights from non-financial data, such as corporate annual reports. To address this, this paper introduces a corporate credit rating framework that integrates financial data with features extracted from annual reports using FinBERT, aiming to fully leverage…

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

Cal Raleigh hits 59th, 60th as Mariners secure AL West; Aaron Judge makes MLB history; NFL QB Power Rankings

https://www.cbssports.com/nfl/news/cal-ral

Shilling Recommender Systems by Generating Side-feature-aware Fake User Profiles
Yuanrong Wang, Yingpeng Du
https://arxiv.org/abs/2509.17918 https://arxiv.…

Shilling Recommender Systems by Generating Side-feature-aware Fake User Profiles
Recommender systems (RS) greatly influence users' consumption decisions, making them attractive targets for malicious shilling attacks that inject fake user profiles to manipulate recommendations. Existing shilling methods can generate effective and stealthy fake profiles when training data only contain rating matrix, but they lack comprehensive solutions for scenarios where side features are present and utilized by the recommender. To address this gap, we extend the Leg-UP framework by enhanci…

an incredible supporting cast of professional cat actors! production must have been a hoot 😸
THE UNCANNY - (1977) Trailer
https://youtube.com/watch?v=reKzSETwAe4&si=wse4RXkAMcXI3IHH
> British anthology movie, housing a trio of stories all concerning angry cats seeking revenge. Somehow managed to bag an X-Rating on release. Go figure.Stars ...

Charter schools are a money grab designed to destroy public education. An excuse to shovel public money into the pockets of people with big ideas about education that mostly don't work.
The irony is that the one thing almost all critics of education agree on is that too much money is spent on administrative/managerial staff. https://

Trump Is a Weak and Failing President, and It’s Time to Say So
Economy loses jobs for August
Donald Trump understands better than anyone else alive that his hold on his supporters
—and on plenty of swing voters, too
—depends on the mere perception that he’s strong, wins everywhere, always acts boldly, and wields absolute mastery over his eternally feckless, disoriented enemies.
Last month, after an anemic July jobs report, Trump fired the steward of jobs data,

Trump Is a Weak and Failing President, and It’s Time to Say So
It’s possible for Trump to be an inept buffoon—but still extremely dangerous. And it shouldn’t be so hard to make that case.

There's a reason that Trump is working to prevent reasonably free and fair midterm elections next year.
https://www.umass.edu/news/article/new-national-umass-amherst-poll-finds-president-trumps-job-approval-…

New National UMass Amherst Poll Finds President Trump’s Job Approval Slides 6 Points Since April | UMass Amherst
The survey finds Trump’s net approval drops to -20 six months into his term, while his approval rating on immigration falls 9 points since April; additionally, 70% say he has not handled the Epstein situation well and 81% blame him for hiding info on case.

libimseti: Libimseti.cz social network (2012)
A network of ratings given between users at Libimseti.cz, a Czech online dating website. A directed edge (i,j) means that user i rate user j, and the corresponding edge weight is the given rating, on a scale of 1-10.
This network has 220970 nodes and 17359346 edges.
Tags: Social, Online, Weighted

Madden 26 Gives Raiders Rookie Ashton Jeanty A Strong Start With 83 Rating https://raiderramble.com/2025/07/31/madden-26-gives-raiders-rookie-ashton-jeanty-a-strong-start-with-83-rating/

escorts: Brazilian prostitution network (2010)
A bipartite network of escort and individuals who buy sex from them in Brazil, extracted from a Brazilian online community for such ratings. Edges represent a purchase of sexual intercourse with an escort, and the edge weight gives the buyer's rating of the escort: -1 (bad), 0 (neutral), or 1 (good). Other edge attributes are available. Edges are timestamped.
This network has 16730 nodes and 50632 edges.
Tags: Social, Publ…

Investigating the Effect of Prior Exposure and Fidelity on Quality and Realism Perception of VR Digital Twins
Maximilian Warsinke, Maurizio Vergari, Tanja Koji\'c, Daniel Nikulin, Sebastian M\"oller
https://arxiv.org/abs/2509.20106

Investigating the Effect of Prior Exposure and Fidelity on Quality and Realism Perception of VR Digital Twins
This study explores how prior exposure to physical objects influences the quality and realism perception of Digital Twins (DT) with varying levels of fidelity in Virtual Reality (VR). In a mixed experimental design, 24 participants were divided into two equal groups: an exposure group, in which members were shown physical objects before inspecting and rating their replicas in VR, and a control group without prior knowledge. Three objects were presented, each under four fidelity conditions with …

Trump's approval rating still negative while the public sours further on Democrats, CNBC survey shows (Steve Liesman/CNBC)
https://www.cnbc.com/2025/08/07/trumps-approval-rating-still-negative-while-the-public-sours-further-on-democrats-cnbc-survey-shows.html
http://www.memeorandum.com/250807/p139#a250807p139

escorts: Brazilian prostitution network (2010)
A bipartite network of escort and individuals who buy sex from them in Brazil, extracted from a Brazilian online community for such ratings. Edges represent a purchase of sexual intercourse with an escort, and the edge weight gives the buyer's rating of the escort: -1 (bad), 0 (neutral), or 1 (good). Other edge attributes are available. Edges are timestamped.
This network has 16730 nodes and 50632 edges.
Tags: Social, Publ…

Personalized Recommendations via Active Utility-based Pairwise Sampling
Bahar Boroomand, James R. Wright
https://arxiv.org/abs/2508.14911 https://arxiv.org…

Personalized Recommendations via Active Utility-based Pairwise Sampling
Recommender systems play a critical role in enhancing user experience by providing personalized suggestions based on user preferences. Traditional approaches often rely on explicit numerical ratings or assume access to fully ranked lists of items. However, ratings frequently fail to capture true preferences due to users' behavioral biases and subjective interpretations of rating scales, while eliciting full rankings is demanding and impractical. To overcome these limitations, we propose a gener…

Drawing Conclusions from Draws: Rethinking Preference Semantics in Arena-Style LLM Evaluation
Raphael Tang, Crystina Zhang, Wenyan Li, Carmen Lai, Pontus Stenetorp, Yao Lu
https://arxiv.org/abs/2510.02306

Drawing Conclusions from Draws: Rethinking Preference Semantics in Arena-Style LLM Evaluation
In arena-style evaluation of large language models (LLMs), two LLMs respond to a user query, and the user chooses the winning response or deems the "battle" a draw, resulting in an adjustment to the ratings of both models. The prevailing approach for modeling these rating dynamics is to view battles as two-player game matches, as in chess, and apply the Elo rating system and its derivatives. In this paper, we critically examine this paradigm. Specifically, we question whether a draw genuinely m…

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

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_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

Everybody Hates Trump Now (Alex Shephard/New Republic)
https://newrepublic.com/article/198624/everybody-hates-trump-approval-rating-polls
http://www.memeorandum.com/250731/p71#a250731p71

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

49ers hail Purdy fill-in Jones: 'Hell of a job' in win https://www.espn.com/nfl/story/_/id/46263038/mac-jones-steps-brock-purdy-helps-49ers-sink-saints

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

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

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

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

libimseti: Libimseti.cz social network (2012)
A network of ratings given between users at Libimseti.cz, a Czech online dating website. A directed edge (i,j) means that user i rate user j, and the corresponding edge weight is the given rating, on a scale of 1-10.
This network has 220970 nodes and 17359346 edges.
Tags: Social, Online, 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

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

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

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

libimseti: Libimseti.cz social network (2012)
A network of ratings given between users at Libimseti.cz, a Czech online dating website. A directed edge (i,j) means that user i rate user j, and the corresponding edge weight is the given rating, on a scale of 1-10.
This network has 220970 nodes and 17359346 edges.
Tags: Social, Online, Weighted

escorts: Brazilian prostitution network (2010)
A bipartite network of escort and individuals who buy sex from them in Brazil, extracted from a Brazilian online community for such ratings. Edges represent a purchase of sexual intercourse with an escort, and the edge weight gives the buyer's rating of the escort: -1 (bad), 0 (neutral), or 1 (good). Other edge attributes are available. Edges are timestamped.
This network has 16730 nodes and 50632 edges.
Tags: Social, Publ…

escorts: Brazilian prostitution network (2010)
A bipartite network of escort and individuals who buy sex from them in Brazil, extracted from a Brazilian online community for such ratings. Edges represent a purchase of sexual intercourse with an escort, and the edge weight gives the buyer's rating of the escort: -1 (bad), 0 (neutral), or 1 (good). Other edge attributes are available. Edges are timestamped.
This network has 16730 nodes and 50632 edges.
Tags: Social, Publ…

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

libimseti: Libimseti.cz social network (2012)
A network of ratings given between users at Libimseti.cz, a Czech online dating website. A directed edge (i,j) means that user i rate user j, and the corresponding edge weight is the given rating, on a scale of 1-10.
This network has 220970 nodes and 17359346 edges.
Tags: Social, Online, Weighted

escorts: Brazilian prostitution network (2010)
A bipartite network of escort and individuals who buy sex from them in Brazil, extracted from a Brazilian online community for such ratings. Edges represent a purchase of sexual intercourse with an escort, and the edge weight gives the buyer's rating of the escort: -1 (bad), 0 (neutral), or 1 (good). Other edge attributes are available. Edges are timestamped.
This network has 16730 nodes and 50632 edges.
Tags: Social, Publ…

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

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

escorts: Brazilian prostitution network (2010)
A bipartite network of escort and individuals who buy sex from them in Brazil, extracted from a Brazilian online community for such ratings. Edges represent a purchase of sexual intercourse with an escort, and the edge weight gives the buyer's rating of the escort: -1 (bad), 0 (neutral), or 1 (good). Other edge attributes are available. Edges are timestamped.
This network has 16730 nodes and 50632 edges.
Tags: Social, Publ…

escorts: Brazilian prostitution network (2010)
A bipartite network of escort and individuals who buy sex from them in Brazil, extracted from a Brazilian online community for such ratings. Edges represent a purchase of sexual intercourse with an escort, and the edge weight gives the buyer's rating of the escort: -1 (bad), 0 (neutral), or 1 (good). Other edge attributes are available. Edges are timestamped.
This network has 16730 nodes and 50632 edges.
Tags: Social, Publ…

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

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

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

libimseti: Libimseti.cz social network (2012)
A network of ratings given between users at Libimseti.cz, a Czech online dating website. A directed edge (i,j) means that user i rate user j, and the corresponding edge weight is the given rating, on a scale of 1-10.
This network has 220970 nodes and 17359346 edges.
Tags: Social, Online, Weighted

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_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

libimseti: Libimseti.cz social network (2012)
A network of ratings given between users at Libimseti.cz, a Czech online dating website. A directed edge (i,j) means that user i rate user j, and the corresponding edge weight is the given rating, on a scale of 1-10.
This network has 220970 nodes and 17359346 edges.
Tags: Social, Online, Weighted

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

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_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

libimseti: Libimseti.cz social network (2012)
A network of ratings given between users at Libimseti.cz, a Czech online dating website. A directed edge (i,j) means that user i rate user j, and the corresponding edge weight is the given rating, on a scale of 1-10.
This network has 220970 nodes and 17359346 edges.
Tags: Social, Online, Weighted

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

libimseti: Libimseti.cz social network (2012)
A network of ratings given between users at Libimseti.cz, a Czech online dating website. A directed edge (i,j) means that user i rate user j, and the corresponding edge weight is the given rating, on a scale of 1-10.
This network has 220970 nodes and 17359346 edges.
Tags: Social, Online, Weighted

escorts: Brazilian prostitution network (2010)
A bipartite network of escort and individuals who buy sex from them in Brazil, extracted from a Brazilian online community for such ratings. Edges represent a purchase of sexual intercourse with an escort, and the edge weight gives the buyer's rating of the escort: -1 (bad), 0 (neutral), or 1 (good). Other edge attributes are available. Edges are timestamped.
This network has 16730 nodes and 50632 edges.
Tags: Social, Publ…

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_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

yahoo_song: Yahoo song ratings (2011)
A bipartite network of users and songs they rated, as used in the 2011 KDD Cup and extracted from Yahoo! Music. Edge weights denote a rating scaled from 0 to 100. More information about this data set is available at http://konect.cc/networks/yahoo-song.
Th…

libimseti: Libimseti.cz social network (2012)
A network of ratings given between users at Libimseti.cz, a Czech online dating website. A directed edge (i,j) means that user i rate user j, and the corresponding edge weight is the given rating, on a scale of 1-10.
This network has 220970 nodes and 17359346 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

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

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

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

libimseti: Libimseti.cz social network (2012)
A network of ratings given between users at Libimseti.cz, a Czech online dating website. A directed edge (i,j) means that user i rate user j, and the corresponding edge weight is the given rating, on a scale of 1-10.
This network has 220970 nodes and 17359346 edges.
Tags: Social, Online, 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

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

escorts: Brazilian prostitution network (2010)
A bipartite network of escort and individuals who buy sex from them in Brazil, extracted from a Brazilian online community for such ratings. Edges represent a purchase of sexual intercourse with an escort, and the edge weight gives the buyer's rating of the escort: -1 (bad), 0 (neutral), or 1 (good). Other edge attributes are available. Edges are timestamped.
This network has 16730 nodes and 50632 edges.
Tags: Social, Publ…

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