Tootfinder

What Are Weighted Keys and Why You Need (or Don't Need) Them?
#DigitalPiano #MusicianTips
https://m…

What Are Weighted Keys and Why You Need (or Don't Need) Them?
Stan Stewart - @muz4now

$\mathbb{G}$-uniform weighted K-stability for models on klt varieties
Jiyuan Han, Yaxiong Liu
https://arxiv.org/abs/2506.18039 https://

$\mathbb{G}$-uniform weighted K-stability for models on klt varieties
In this paper, we make a generalization of the results in \cite{Li22a} to the singular and weighted setting. In particular, we show that on a polarized projective klt variety, the $\mathbb{G}$-uniform weighted K-stability for models implies the $\mathbb{G}$-coercivity of the weighted Mabuchi functional. In the toric case, we further show that the $(\mathbb{C}^{\times})^n$-uniform $(\mathrm{v},\mathrm{w}\cdot\ell_{\mathrm{ext}})$-weighted K-stability is preserved when perturbing the polarization…

Weighted four-dimensional Fano hypersurfaces of K3 type
Valeria Bertini, Francesco Antonio Denisi, Enrico Fatighenti, Annalisa Grossi
https://arxiv.org/abs/2506.18014

Weighted four-dimensional Fano hypersurfaces of K3 type
We study weighted Fano fourfolds of K3 type realized as hypersurfaces in weighted projective spaces. Under the additional assumption that the singular locus has dimension at most one, we prove that only finitely many such families exist. We provide the complete list and analyze their rationality properties, as well as their singularities.

Weighted Assumption Based Argumentation to reason about ethical principles and actions
Paolo Baldi, Fabio Aurelio D'Asaro, Abeer Dyoub, Francesca Alessandra Lisi
https://arxiv.org/abs/2506.18056

Weighted Assumption Based Argumentation to reason about ethical principles and actions
We augment Assumption Based Argumentation (ABA for short) with weighted argumentation. In a nutshell, we assign weights to arguments and then derive the weight of attacks between ABA arguments. We illustrate our proposal through running examples in the field of ethical reasoning, and present an implementation based on Answer Set Programming.

Weighted nonlocal area functionals without the triangle inequality
Serena Dipierro, Enrico Valdinoci, Mary Vaughan
https://arxiv.org/abs/2506.19048 https:/…

Weighted nonlocal area functionals without the triangle inequality
We consider a weighted nonlocal area functional in which the coefficients do not satisfy the triangle inequality. In the context of three phase transitions, this means that one of the weights is larger than the sum of the other two, say $$σ_{-1,1} > σ_{-1,0} + σ_{0,1}.$$ We show that the energy can be reduced by covering interfaces between phases $-1$ and $1$ with a thin strip of phase $0$. Moreover, as the fractional parameter $s\nearrow1$, we prove that the nonlocal energies $Γ$-converg…

New results on universal Taylor series via weighted polynomial approximation
St\'ephane Charpentier (I2M), Konstantinos Maronikolakis
https://arxiv.org/abs/2506.20224

New results on universal Taylor series via weighted polynomial approximation
We use weighted polynomial approximation to prove the existence of a compact set K with non-empty interior and a function f is dense in the space A(K) of all continuous functions on K that are holomorphic in the interior of K, endowed with the sup norm, while the set This improves a result of Mouze. The main ideas of the proof also allows us to construct a holomorphic function while the modulus of its non-zero Taylor coecients go to $\infty$. In passing, we complement a result by Pritsker a…

The Bivariate regular variation of randomly weighted sums revisited in the presence of interdependence
Dimitrios G. Konstantinides, Charalampos D. Passalidis
https://arxiv.org/abs/2506.17895

The Bivariate regular variation of randomly weighted sums revisited in the presence of interdependence
We study the closure properties of the class of Bivariate Regular Variation, symbolically BRV , in standard and nonstandard cases, with respect to the randomly weighted sums. However, we take into consideration a weak dependence structure among the random weights and the main random variables, providing more flexibility in applications. In the first main result, under the condition that the main random variables belong to BRV , we provide a dependent bivariate extension of Breiman's theorem, un…

The Laplacian matrix of weighted threshold graphs
Yingyue Ke, Willem H. Haemers, Piet Van Mieghem
https://arxiv.org/abs/2506.16839 https://

The Laplacian matrix of weighted threshold graphs
Threshold graphs are generated from one node by repeatedly adding a node that links to all existing nodes or adding a node without links. In the weighted threshold graph, we add a new node in step $i$, which is linked to all existing nodes by a link of weight $w_i$. In this work, we consider the set ${\cal A}_N$ that contains all Laplacian matrices of weighted threshold graphs of order $N$. We show that ${\cal A}_N$ forms a commutative algebra. Using this, we find a common basis of eigenvectors…

Papanicolaou Stain Unmixing for RGB Image Using Weighted Nucleus Sparsity and Total Variation Regularization
Nanxin Gong, Saori Takeyama, Masahiro Yamaguchi, Takumi Urata, Fumikazu Kimura, Keiko Ishii
https://arxiv.org/abs/2506.20450

Papanicolaou Stain Unmixing for RGB Image Using Weighted Nucleus Sparsity and Total Variation Regularization
The Papanicolaou stain, consisting of eosin Y, hematoxylin, light Green SF yellowish, orange G, and Bismarck brown Y, provides extensive color information essential for cervical cancer screening in cytopathology. However, the visual observation of these colors is subjective and difficult to characterize. In digital image analysis, the RGB intensities are affected by staining and imaging variations, hindering direct quantification of color in Papanicolaou-stained samples. Stain unmixing is a pro…

Frequency-Weighted Training Losses for Phoneme-Level DNN-based Speech Enhancement
Nasser-Eddine Monir, Paul Magron, Romain Serizel
https://arxiv.org/abs/2506.18714

Frequency-Weighted Training Losses for Phoneme-Level DNN-based Speech Enhancement
Recent advances in deep learning have significantly improved multichannel speech enhancement algorithms, yet conventional training loss functions such as the scale-invariant signal-to-distortion ratio (SDR) may fail to preserve fine-grained spectral cues essential for phoneme intelligibility. In this work, we propose perceptually-informed variants of the SDR loss, formulated in the time-frequency domain and modulated by frequency-dependent weighting schemes. These weights are designed to emphas…

There’s a small difference between MacDonald and many other social media starlets.
She is 79.
“I was 70 when I started [working out],” MacDonald says on a video call from her home in Ontario,
white hair elegantly coiffed.
“I keep thinking I’m in my 30s.”
MacDonald’s workouts are intense,
whether you’re 30 or 70.
She does deadlifts, weighted planks and kettlebell swings,
and casually lifts dumbbells the size of fire extinguishers over her head.

Weighted $L^2$ restriction and comparison of nondegeneracy conditions for quadratic manifolds of arbitrary codimensions
Zhenbin Cao, Jingyue Li, Changxing Miao, Yixuan Pang
https://arxiv.org/abs/2506.18657

Weighted $L^2$ restriction and comparison of nondegeneracy conditions for quadratic manifolds of arbitrary codimensions
We systematically study weighted $L^2$ restriction for quadratic manifolds of arbitrary codimensions by sharp uniform Fourier decay estimates and a refinement of the Du-Zhang method. Comparison with prior results is also discussed. In addition,we obtain an almost complete relation diagram for all existing nondegeneracy conditions for quadratic manifolds of arbitrary codimensions. These conditions come from various topics in harmonic analysis related to "curvature": Fourier restriction, decoupli…

Weighted Parameter Estimators of the Generalized Extreme Value Distribution in the Presence of Missing Observations
James H. McVittie, Orla A. Murphy
https://arxiv.org/abs/2506.15964

Weighted Parameter Estimators of the Generalized Extreme Value Distribution in the Presence of Missing Observations
Missing data occur in a variety of applications of extreme value analysis. In the block maxima approach to an extreme value analysis, missingness is often handled by either ignoring missing observations or dropping a block of observations from the analysis. However, in some cases, missingness may occur due to equipment failure during an extreme event, which can lead to bias in estimation. In this work, we propose weighted maximum likelihood and weighted moment-based estimators for the generaliz…

unicodelang: Languages spoken by country (2015)
A bipartite network of languages and the countries in which they are spoken, as estimated by Unicode. Edges are weighted by the proportion of the given country's population that is literate in a particular language.
This network has 868 nodes and 1255 edges.
Tags: Informational, Relatedness, Weighted

All-Pairs Shortest Paths with Few Weights per Node
Amir Abboud, Nick Fischer, Ce Jin, Virginia Vassilevska Williams, Zoe Xi
https://arxiv.org/abs/2506.20017

All-Pairs Shortest Paths with Few Weights per Node
We study the central All-Pairs Shortest Paths (APSP) problem under the restriction that there are at most $d$ distinct weights on the outgoing edges from every node. For $d=n$ this is the classical (unrestricted) APSP problem that is hypothesized to require cubic time $n^{3-o(1)}$, and at the other extreme, for $d=1$, it is equivalent to the Node-Weighted APSP problem. We present new algorithms that achieve the following results: 1. Node-Weighted APSP can be solved in time $\tilde{O}(n^{(3+ω…

100 calf raises at 69, also with some shoulder mobility work. #calisthenics #fitness

DRWKV: Focusing on Object Edges for Low-Light Image Enhancement
Xuecheng Bai, Yuxiang Wang, Boyu Hu, Qinyuan Jie, Chuanzhi Xu, Hongru Xiao, Kechen Li, Vera Chung
https://arxiv.org/abs/2507.18594

DRWKV: Focusing on Object Edges for Low-Light Image Enhancement
Low-light image enhancement remains a challenging task, particularly in preserving object edge continuity and fine structural details under extreme illumination degradation. In this paper, we propose a novel model, DRWKV (Detailed Receptance Weighted Key Value), which integrates our proposed Global Edge Retinex (GER) theory, enabling effective decoupling of illumination and edge structures for enhanced edge fidelity. Secondly, we introduce Evolving WKV Attention, a spiral-scanning mechanism tha…

Any nonincreasing convergence curves are simultaneously possible for GMRES and weighted GMRES, as well as for left and right preconditioned GMRES
Pierre Matalon, Nicole Spillane
https://arxiv.org/abs/2506.17193

Any nonincreasing convergence curves are simultaneously possible for GMRES and weighted GMRES, as well as for left and right preconditioned GMRES
The convergence of the GMRES linear solver is notoriously hard to predict. A particularly enlightening result by [Greenbaum, Pták, Strakoš, 1996] is that, given any convergence curve, one can build a linear system for which GMRES realizes that convergence curve. What is even more extraordinary is that the eigenvalues of the problem matrix can be chosen arbitrarily. We build upon this idea to derive novel results about weighted GMRES. We prove that for any linear system and any prescribed conv…

A Weighted Likelihood Approach Based on Statistical Data Depths
Claudio Agostinelli, Ayanendranath Basu, Giulia Bertagnolli, Arun Kumar Kuchibhotla
https://arxiv.org/abs/2507.16998

A Weighted Likelihood Approach Based on Statistical Data Depths
We propose a general approach to construct weighted likelihood estimating equations with the aim of obtaining robust parameter estimates. We modify the standard likelihood equations by incorporating a weight that reflects the statistical depth of each data point relative to the model, as opposed to the sample. An observation is considered regular when the corresponding difference of these two depths is close to zero. When this difference is large the observation score contribution is downweight…

On weighted multilinear polynomial averages in finite fields
Guo-Dong Hong
https://arxiv.org/abs/2507.14414 https://arxiv.org/pdf/250…

On weighted multilinear polynomial averages in finite fields
We study the weighted multilinear polynomial averages in finite fields. The essential ingredient is the $u^s$-norm control of the corresponding weighted multilinear polynomial averages in finite fields, which is motivated by Teräväinen \cite{T24}. As an application, we prove an asymptotic formula for the number of the following multidimensional rational function progressions in the subsets of $\mathbb{F}_p^D$: \[ \textbf{x}, \textbf{x}+ P_1(φ(y))v_1,\cdots, \textbf{x}+ P_k(φ(y))v_k, \] wher…

Metasurface-empowered freely-arrangeable multi-task diffractive neural networks with weighted training
Yudong Tian, Haifeng Xu, Yuqing Liu, Xiangyu Zhao, Jingzhu Shao, Jierong Cheng, Chongzhao Wu
https://arxiv.org/abs/2506.18242

Metasurface-empowered freely-arrangeable multi-task diffractive neural networks with weighted training
Recent advancements in optical computing have garnered considerable research interests owing to its ener-gy-efficient operation and ultralow latency characteristics. As an emerging framework in this domain, dif-fractive deep neural networks (D2NNs) integrate deep learning algorithms with optical diffraction principles to perform computational tasks at light speed without requiring additional energy consumption. Neverthe-less, conventional D2NN architectures face functional limitations and are t…

Gauging practical computational advantage using a classical, threshold-based Gaussian boson sampler
Sarvesh Raghuraman, Aditya Patwardhan, Brian La Cour
https://arxiv.org/abs/2507.17567

Gauging practical computational advantage using a classical, threshold-based Gaussian boson sampler
We describe an efficient, scalable Gaussian boson sampler based on a classical description of squeezed quantum light and a deterministic model of single-photon detectors that click when the incident amplitude falls above a given threshold. Using this model, we map several NP-Complete graph theoretic problems to equivalent Gaussian boson sampling problems and numerically explore the practical efficacy of our approach. Specifically, for a given weighted, undirected graph we examined finding the d…

Concavity principles for weighted marginals
Dario Cordero-Erausquin, Alexandros Eskenazis
https://arxiv.org/abs/2506.16941 https://ar…

Concavity principles for weighted marginals
We develop a general framework to study concavity properties of weighted marginals of $β$-concave functions on $\mathbb{R}^n$ via local methods. As a concrete implementation of our approach, we obtain a functional version of the dimensional Brunn-Minkowski inequality for rotationally invariant log-concave measures. Moreover, we derive a Prékopa-type concavity principle with rotationally invariant weights for even log-concave functions which encompasses the B-inequality.

Bridging Equilibrium and Kinetics Prediction with a Data-Weighted Neural Network Model of Methane Steam Reforming
Zofia Pizo\'n, Shinji Kimijima, Grzegorz Brus
https://arxiv.org/abs/2506.17224

Bridging Equilibrium and Kinetics Prediction with a Data-Weighted Neural Network Model of Methane Steam Reforming
Hydrogen's role is growing as an energy carrier, increasing the need for efficient production, with methane steam reforming being the most widely used technique. This process is crucial for applications like fuel cells, where hydrogen is converted into electricity, pushing for reactor miniaturization and optimized process control through numerical simulations. Existing models typically address either kinetic or equilibrium regimes, limiting their applicability. Here we show a surrogate model ca…

Replaced article(s) found for cs.FL. https://arxiv.org/list/cs.FL/new
[1/1]:
- Feasability of Learning Weighted Automata on a Semiring
Laure Daviaud, Marianne Johnson

Fagin's Theorem for Semiring Turing Machines
Guillermo Badia, Manfred Droste, Thomas Eiter, Rafael Kiesel, Carles Noguera, Erik Paul
https://arxiv.org/abs/2507.18375 https:/…

Fagin's Theorem for Semiring Turing Machines
In recent years, quantitative complexity over semirings has been intensively investigated. An important problem in this context is to connect computational complexity with logical expressiveness. In this paper we improve on the model of \emph{Semiring Turing Machines} (distinct from so called weighted Turing machines) introduced by Eiter \& Kiesel (Semiring Reasoning Frameworks in AI and Their Computational Complexity, \emph{J. Artif. Intell. Res.}, 2023). Our central result is a Fagin-style th…

Efficient Feedback Design for Unsourced Random Access with Integrated Sensing and Communication
Mohammad Javad Ahmadi, Mohammad Kazemi, Rafael F. Schaefer
https://arxiv.org/abs/2506.20262

Efficient Feedback Design for Unsourced Random Access with Integrated Sensing and Communication
We consider an unsourced random access (URA) system enhanced with a feedback mechanism that serves both communication and sensing tasks. While traditional URA systems do not incorporate feedback, we propose a novel feedback signal design that announces the decoding status of users and simultaneously enables target sensing. To design this dual-purpose feedback, we introduce a modified projected gradient descent algorithm that minimizes a weighted combination of communication and sensing errors. …

game_thrones: Game of Thrones coappearances
Network of coappearances of characters in the Game of Thrones series, by George R. R. Martin, and in particular coappearances in the book "A Storm of Swords." Nodes are unique characters, and edges are weighted by the number of times the two characters' names appeared within 15 words of each other in the text.
This network has 107 nodes and 352 edges.
Tags: Social, Fictional, Weighted

Detecting Multiple Targets with Distributed Sensing and Communication in Cell-Free Massive MIMO
Zinat Behdad, Ozlem Tugfe Demir, Ki Won Sung, Cicek Cavdar
https://arxiv.org/abs/2507.17441

Detecting Multiple Targets with Distributed Sensing and Communication in Cell-Free Massive MIMO
This paper investigates multi-target detection in an integrated sensing and communication (ISAC) system within a cell-free massive MIMO (CF-mMIMO) framework. We adopt a user-centric approach for communication user equipments (UEs) and a distributed sensing approach for multi-target detection. A heuristic access point (AP) mode selection algorithm and a channel-aware distributed sensing scheme are proposed, where local measurements at receive APs (RX-APs) are weighted based on the received signa…

Non-Euclidean Enriched Contraction Theory for Monotone Operators and Monotone Dynamical Systems
Diego Deplano, Sergio Grammatico, Mauro Franceschelli
https://arxiv.org/abs/2506.17990

Non-Euclidean Enriched Contraction Theory for Monotone Operators and Monotone Dynamical Systems
We adopt an operator-theoretic perspective to analyze a class of nonlinear fixed-point iterations and discrete-time dynamical systems. Specifically, we study the Krasnoselskij iteration - at the heart of countless algorithmic schemes and underpinning the stability analysis of numerous dynamical models - by focusing on a non-Euclidean vector space equipped with the diagonally weighted supremum norm. By extending the state of the art, we introduce the notion of enriched weak contractivity, which …

Generalized Hilbert operators acting from Hardy spaces to weighted Bergman spaces
Liyi Wang, Shanli Ye
https://arxiv.org/abs/2506.19338 https://

Generalized Hilbert operators acting from Hardy spaces to weighted Bergman spaces
Let $μ$ be a positive Borel measure on the interval $[0,1)$. For $α>0$, the generalized Hankel matrix $\mathcal{H}_{μ, α}=(μ_{n, k, α})_{n, k \geq 0}$ with entries $μ_{n, k, α}=\int_{[0,1)} \frac{Γ(n+α)}{n ! Γ(α)} t^{n+k} \mathrm{d}μ(t)$ induces formally the operator \begin{equation*} \mathcal{H}_{μ, α}(f)(z)=\sum_{n=0}^{\infty}\left(\sum_{k=0}^{\infty} μ_{n, k, α} a_k\right) z^n \end{equation*} on the space of all analytic function $f(z)=\sum_{k=0}^{\infty} a_{k} z^{k}$ in the…

The $10~\rm{kpc}$ collar of early-type galaxies -- probing evolution by focusing on the inner stellar density profile
Rongfu Liu (Shanghai Jiao Tong University), Alessandro Sonnenfeld (Shanghai Jiao Tong University), Carlo Nipoti (Alma Mater Studiorum - Universit\`a di Bologna), Rui Li (Zhengzhou University)
https://arxiv.org/ab…

The $10~\rm{kpc}$ collar of early-type galaxies -- probing evolution by focusing on the inner stellar density profile
Context: The post-quenching evolution process of early-type galaxies (ETGs) is still not fully understood. The amount of growth in stellar mass and size incurred after quenching is still under debate. Aims: In this work we aim to investigate the late evolution of ETGs, both observationally and theoretically, by focusing on the stellar mass density profile inside a fixed aperture, within $10$~kpc from the galaxy center. Methods: We first studied the stellar mass and mass-weighted density slo…

Chimera games emerging from coevolutionary dynamics with endogenous feedbacks
Federico Maria Quetti, Andrea Civilini, Giacomo Frigerio, Silvia Figini, Giacomo Livan, Vito Latora
https://arxiv.org/abs/2506.20603

Chimera games emerging from coevolutionary dynamics with endogenous feedbacks
From climate change to financial bubbles and wars, the rapid pace of change in our world clearly shows that the commonly adopted assumption of a static environment in evolutionary game-theoretic models is often unrealistic. In this work, we introduce a coevolutionary game model where the game environment and the strategy dynamics are mutually coupled. In particular, the game played at each time is endogenously defined as a convex combination of two social dilemmas, weighted by the current abund…

On Weighted Entropy Generating Function
Smitha S., Mary Andrewsa, Sudheesh K. Kattumannil
https://arxiv.org/abs/2507.15057 https://ar…

On Weighted Entropy Generating Function
In this paper, we study the properties of the weighted entropy generating function (WEGF). We also introduce the weighted residual entropy generating function (WREGF) and establish some characterization results based on its connections with the hazard rate and the mean residual life function. Furthermore, we propose two new classes of life distributions derived from WREGF. We also study the non-parametric estimation of WREGF. A non-parametric test for the Pareto type I distribution is developed…

Replaced article(s) found for physics.comp-ph. https://arxiv.org/list/physics.comp-ph/new
[1/1]:
- PYSED: A tool for extracting kinetic-energy-weighted phonon dispersion and lifetime from molecula...
Ting Liang, Wenwu Jiang, Ke Xu, Hekai Bu, Zheyong Fan, Wengen Ouyang, Jia…

Rate estimates for weighted total variation norm in terms of Wasserstein distances
Iv\'an Ivkovic, Mikl\'os R\'asonyi
https://arxiv.org/abs/2506.16088

Rate estimates for weighted total variation norm in terms of Wasserstein distances
We study the weighted total variation distance between probability measures. Using Fourier-analytic tools, we present estimates in terms of Wasserstein distances between the respective probabilities, under appropriate smoothness and moment conditions. We apply our results to convergence of functionals in Malliavin calculus.

Estimating Multiple Weighted Networks with Node-Sparse Differences and Shared Low-Rank Structure
Hao Yan, Keith Levin
https://arxiv.org/abs/2506.15915 http…

Estimating Multiple Weighted Networks with Node-Sparse Differences and Shared Low-Rank Structure
We study the problem of modeling multiple symmetric, weighted networks defined on a common set of nodes, where networks arise from different groups or conditions. We propose a model in which each network is expressed as the sum of a shared low-rank structure and a node-sparse matrix that captures the differences between conditions. This formulation is motivated by practical scenarios, such as in connectomics, where most nodes share a global connectivity structure while only a few exhibit condit…

Study of higher-order interactions in unweighted, undirected networks using persistent homology
Udit Raj, Slobodan Maleti\'c, Sudeepto Bhattacharya
https://arxiv.org/abs/2506.19448

Study of higher-order interactions in unweighted, undirected networks using persistent homology
Persistent homology has been studied to better understand the structural properties and topology features of weighted networks. It can reveal hidden layers of information about the higher-order structures formed by non-pairwise interactions in a network. Studying of higher-order interactions (HoIs) of a system provides a more comprehensive understanding of the complex system; moreover, it is a more precise depiction of the system as many complex systems, such as ecological systems and biologica…

Automorphisms of prime power order of weighted hypersurfaces
Alvaro Liendo, Ana Julisa Palomino
https://arxiv.org/abs/2507.13538 https://

Automorphisms of prime power order of weighted hypersurfaces
We study automorphisms of quasi-smooth hypersurfaces in weighted projective spaces, extending classical results for smooth hypersurfaces in projective space to the weighted setting. We establish effective criteria for when a power of a prime number can occur as the order of an automorphism, and we derive explicit bounds on the possible prime orders. A key role is played by a weighted analogue of the classical Klein hypersurface, which we show realizes the maximal prime order of an automorphism …

Self-Supervised Joint Reconstruction and Denoising of T2-Weighted PROPELLER MRI of the Lungs at 0.55T
Jingjia Chen, Haoyang Pei, Christoph Maier, Mary Bruno, Qiuting Wen, Seon-Hi Shin, William Moore, Hersh Chandarana, Li Feng
https://arxiv.org/abs/2507.14308

Self-Supervised Joint Reconstruction and Denoising of T2-Weighted PROPELLER MRI of the Lungs at 0.55T
Purpose: This study aims to improve 0.55T T2-weighted PROPELLER lung MRI through a self-supervised joint reconstruction and denoising model. Methods: T2-weighted 0.55T lung MRI dataset including 44 patients with previous covid infection were used. A self-supervised learning framework was developed, where each blade of the PROPELLER acquisition was split along the readout direction into two partitions. One subset trains the unrolled reconstruction network, while the other subset is used for lo…

Enhancing POI Recommendation through Global Graph Disentanglement with POI Weighted Module
Pei-Xuan Li, Wei-Yun Liang, Fandel Lin, Hsun-Ping Hsieh
https://arxiv.org/abs/2507.14612

Enhancing POI Recommendation through Global Graph Disentanglement with POI Weighted Module
Next point of interest (POI) recommendation primarily predicts future activities based on users' past check-in data and current status, providing significant value to users and service providers. We observed that the popular check-in times for different POI categories vary. For example, coffee shops are crowded in the afternoon because people like to have coffee to refresh after meals, while bars are busy late at night. However, existing methods rarely explore the relationship between POI categ…

The norms for symmetric and antisymmetric tensor products of the weighted shift operators
Xiance Tian, Penghui Wang, Zeyou Zhu
https://arxiv.org/abs/2507.17181

The norms for symmetric and antisymmetric tensor products of the weighted shift operators
In the present paper, we study the norms for symmetric and antisymmetric tensor products of weighted shift operators. By proving that for $n\geq 2$, $$\|S_α^{l_1}\odot\cdots \odot S_α^{l_k}\odot S_α^{*l_{k+1}}\odot\cdots \odot S_α^{*l_{n}}\| =\mathop{\prod}_{i=1}^n\left \| S_α^{l_{i}}\right\|, \text{ for any} \ (l_1,l_2\cdots l_n)\in\mathbb N^n$$ if and only if the weight satisfies the regularity condition, we partially solve \cite[Problem 6 and Problem 7]{GA}. It wil…

Addressing Data Imbalance in Transformer-Based Multi-Label Emotion Detection with Weighted Loss
Xia Cui
https://arxiv.org/abs/2507.11384 https://

Addressing Data Imbalance in Transformer-Based Multi-Label Emotion Detection with Weighted Loss
This paper explores the application of a simple weighted loss function to Transformer-based models for multi-label emotion detection in SemEval-2025 Shared Task 11. Our approach addresses data imbalance by dynamically adjusting class weights, thereby enhancing performance on minority emotion classes without the computational burden of traditional resampling methods. We evaluate BERT, RoBERTa, and BART on the BRIGHTER dataset, using evaluation metrics such as Micro F1, Macro F1, ROC-AUC, Accurac…

fuck a weighted blanket, the only pressure that can satisfy my autism is being imploded like an oceangate submersible in the mariana trench

celegansneural: C. elegans neurons (1986)
A network representing the neural connections of the Caenorhabditis elegans nematode.
This network has 297 nodes and 2359 edges.
Tags: Biological, Connectome, Weighted
https://networks.skewed.de/net/celegansneural
Rid…

Online Algorithms for Recovery of Low-Rank Parameter Matrix in Non-stationary Stochastic Systems
Yanxin Fu, Junbao Zhou, Yu Hu, Wenxiao Zhao
https://arxiv.org/abs/2506.19299

Online Algorithms for Recovery of Low-Rank Parameter Matrix in Non-stationary Stochastic Systems
This paper presents a two-stage online algorithm for recovery of low-rank parameter matrix in non-stationary stochastic systems. The first stage applies the recursive least squares (RLS) estimator combined with its singular value decomposition to estimate the unknown parameter matrix within the system, leveraging RLS for adaptability and SVD to reveal low-rank structure. The second stage introduces a weighted nuclear norm regularization criterion function, where adaptive weights derived from th…

A high-order, conservative and positivity-preserving intersection-based remapping method between meshes with isoparametric curvilinear cells
Nuo Lei, Juan Cheng, Chi-Wang Shu
https://arxiv.org/abs/2506.18389

A high-order, conservative and positivity-preserving intersection-based remapping method between meshes with isoparametric curvilinear cells
This paper presents a novel intersection-based remapping method for isoparametric curvilinear meshes within the indirect arbitrary Lagrangian-Eulerian (ALE) framework, addressing the challenges of transferring physical quantities between high-order curved-edge meshes. Our method leverages the Weiler-Atherton clipping algorithm to compute intersections between curved-edge quadrangles, enabling robust handling of arbitrary order isoparametric curves. By integrating multi-resolution weighted essen…

ReCoGNet: Recurrent Context-Guided Network for 3D MRI Prostate Segmentation
Ahmad Mustafa, Reza Rastegar, Ghassan AlRegib
https://arxiv.org/abs/2506.19687 …

ReCoGNet: Recurrent Context-Guided Network for 3D MRI Prostate Segmentation
Prostate gland segmentation from T2-weighted MRI is a critical yet challenging task in clinical prostate cancer assessment. While deep learning-based methods have significantly advanced automated segmentation, most conventional approaches-particularly 2D convolutional neural networks (CNNs)-fail to leverage inter-slice anatomical continuity, limiting their accuracy and robustness. Fully 3D models offer improved spatial coherence but require large amounts of annotated data, which is often imprac…

How Trees on Atoms of Subset Algebras Define Minimal Forests and Their Growth
Vasily Buslov
https://arxiv.org/abs/2506.17921 https://…

How Trees on Atoms of Subset Algebras Define Minimal Forests and Their Growth
A complete description is given of how minimal trees on atoms of the algebra of subsets $\mathfrak{A}_k$ generated by minimal spanning $k$-component forests of a weighted digraph $V$ determine the form of these forests and how forests grow with increasing number of arcs (that is with a decrease in the number of trees). Precise bounds are established on what can be extracted about the tree structure of the original graph if the minimal trees on the atoms of a single algebra $\mathfrak{A}_k$ are …

On Hardy-Littlewood-Sobolev estimates for degenerate Laplacians
Pascal Auscher, Khalid Baadi
https://arxiv.org/abs/2506.20368 https://

On Hardy-Littlewood-Sobolev estimates for degenerate Laplacians
We establish norm inequalities for fractional powers of degenerate Laplacians, with degeneracy being determined by weights in the Muckenhoupt class $A_2(\mathbb{R}^n)$, accompanied by specific additional reverse Hölder assumptions. This extends the known results for classical Riesz potentials. The approach is based on size estimates for the degenerate heat kernels. The approach also applies to more general weighted degenerate operators.

Correlations of error terms for weighted prime counting functions
Shubhrajit Bhattacharya, Greg Martin, Reginald M. Simpson
https://arxiv.org/abs/2507.13504

Correlations of error terms for weighted prime counting functions
Standard prime-number counting functions, such as $ψ(x)$, $θ(x)$, and $π(x)$, have error terms with limiting logarithmic distributions once suitably normalized. The same is true of weighted versions of those sums, like $π_r(x) = \sum_{p\le x} \frac1p$ and $π_\ell(x) = \sum_{p\le x} \log(1-\frac1p)^{-1}$, that were studied by Mertens. These limiting distributions are all identical, but passing to the limit loses information about how these error terms are correlated with one another. In t…

Projection Cascades of models of log del Pezzo surfaces
Muhammad Imran Qureshi
https://arxiv.org/abs/2506.19970 https://arxiv.org/pdf…

Projection Cascades of models of log del Pezzo surfaces
We introduce the notion of type-I projection cascade for a biregular model (infinite series) of log del Pezzo surfaces. We study the existence of type-I projection cascades for known classes of models of log del Pezzo surfaces, such that their images under their anti-canonical embeddings in some weighted projective space, can be described as codimension 4 and codimension 3 varieties. We obtain two cascades of length three and four cascades of length two, where each projection gives rise to a we…

bison: Bison dominance
Dominance relations among a group of American bisons in the National Bison Range in Moiese Montana, observed in 1972.
This network has 26 nodes and 314 edges.
Tags: Social, Animal, Weighted
https://networks.skewed.de/net/bison
Ridiculogram:

Fast Algorithms for Graph Arboricity and Related Problems
Ruoxu Cen, Henry Fleischmann, George Z. Li, Jason Li, Debmalya Panigrahi
https://arxiv.org/abs/2507.15598

Fast Algorithms for Graph Arboricity and Related Problems
We give an algorithm for finding the arboricity of a weighted, undirected graph, defined as the minimum number of spanning forests that cover all edges of the graph, in $\sqrt{n} m^{1+o(1)}$ time. This improves on the previous best bound of $\tilde{O}(nm)$ for weighted graphs and $\tilde{O}(m^{3/2}) $ for unweighted graphs (Gabow 1995) for this problem. The running time of our algorithm is dominated by a logarithmic number of calls to a directed global minimum cut subroutine -- if the running t…

Weighted superposition operators on Fock spaces
Tesfa Mengestie
https://arxiv.org/abs/2506.16152 https://arxiv.org/pdf/2506.16152

Weighted superposition operators on Fock spaces
We characterize all pairs of entire functions $(u,ψ)$ for which the induced weighted superposition operator $S_{(u,ψ)}$ transforms one Fock space into another Fock space.Further analytical structures like boundedness and Lipschitz continuity of $S_{(u,ψ)}$ are described. We, in particular, show the Fock spaces support no compact weighted superposition operator.

Replaced article(s) found for cs.CC. https://arxiv.org/list/cs.CC/new
[1/1]:
- Weighted Pseudorandom Generators for Read-Once Branching Programs via Weighted Pseudorandom Reduc...
Kuan Cheng, Ruiyang Wu

Stein's theorem in the upper-half plane and Bergman spaces with weights
Aline Bonami (UO, IDP), Sandrine Grellier (UO, IDP), Beno\^it Sehba
https://arxiv.org/abs/2506.18377

Stein's theorem in the upper-half plane and Bergman spaces with weights
This is a companion paper to our previous one, Avatars of Stein's Theorem in the complex setting. In this previous paper, we gave a sufficient condition for an integrable function in the upper-half plane to have an integrable Bergman projection. Here we push forward methods and establish in particular a converse statement. This naturally leads us to study a family of weighted Bergman spaces for logarithmic weights (1 + ln + (1/___m(z)) + ln + (|z|)) k , which have the same kind of beh…

“In the US, we have a set of electoral and legislative institutions that drive us toward only having two parties,”
Mark Copelovitch told us.
“That allowed the 20 to 25 percent of people that support the far right to basically take over one of the two parties,
and everything in our system is weighted towards the Republican constituency
— the Supreme Court, the gerrymandered House, the way the Senate is apportioned.
All of these things basically bias the electo…

“Neither our media nor our political system is designed to deal with a far right authoritarian party”
Mark Copelovitch unpacks his signature phrase.

celegansneural: C. elegans neurons (1986)
A network representing the neural connections of the Caenorhabditis elegans nematode.
This network has 297 nodes and 2359 edges.
Tags: Biological, Connectome, Weighted
https://networks.skewed.de/net/celegansneural
Rid…

QUST_NLP at SemEval-2025 Task 7: A Three-Stage Retrieval Framework for Monolingual and Crosslingual Fact-Checked Claim Retrieval
Youzheng Liu, Jiyan Liu, Xiaoman Xu, Taihang Wang, Yimin Wang, Ye Jiang
https://arxiv.org/abs/2506.17272

QUST_NLP at SemEval-2025 Task 7: A Three-Stage Retrieval Framework for Monolingual and Crosslingual Fact-Checked Claim Retrieval
This paper describes the participation of QUST_NLP in the SemEval-2025 Task 7. We propose a three-stage retrieval framework specifically designed for fact-checked claim retrieval. Initially, we evaluate the performance of several retrieval models and select the one that yields the best results for candidate retrieval. Next, we employ multiple re-ranking models to enhance the candidate results, with each model selecting the Top-10 outcomes. In the final stage, we utilize weighted voting to deter…

spanish_highschools: Spanish high schools (2023)
Directed networks of friendships obtained through a social survey of spanish high school students.
This network has 515 nodes and 6379 edges.
Tags: Social, Offline, Weighted, Metadata
https://networks.skewed.de/net/spanish

Improved girth approximation in weighted undirected graphs
Avi Kadria, Liam Roditty, Aaron Sidford, Virginia Vassilevska Williams, Uri Zwick
https://arxiv.org/abs/2507.13869

Improved girth approximation in weighted undirected graphs
Let $G = (V,E,\ell)$ be a $n$-node $m$-edge weighted undirected graph, where $\ell: E \rightarrow (0,\infty)$ is a real \emph{length} function defined on its edges, and let $g$ denote the girth of $G$, i.e., the length of its shortest cycle. We present an algorithm that, for any input, integer $k \geq 1$, in $O(kn^{1+1/k}\log{n} + m(k+\log{n}))$ expected time finds a cycle of length at most $\frac{4k}{3}g$. This algorithm nearly matches a $O(n^{1+1/k}\log{n})$-time algorithm of \cite{KadriaRSWZ…

Robust and Smooth Estimation of the Extreme Tail Index via Weighted Minimum Density Power Divergence
Saida Mancer, Abdelhakim Necir, Djamel Meraghni
https://arxiv.org/abs/2507.15744

Robust and Smooth Estimation of the Extreme Tail Index via Weighted Minimum Density Power Divergence
By introducing a weight function into the density power divergence, we develop a new class of robust and smooth estimators for the tail index of Pareto-type distributions, offering improved efficiency in the presence of outliers. These estimators can be viewed as a robust generalization of both weighted least squares and kernel-based tail index estimators. We establish the consistency and asymptotic normality of the proposed class. A simulation study is conducted to assess their finite-sample p…

spanish_highschools: Spanish high schools (2023)
Directed networks of friendships obtained through a social survey of spanish high school students.
This network has 409 nodes and 8557 edges.
Tags: Social, Offline, Weighted, Metadata
https://networks.skewed.de/net/spanish

Supercyclic weighted composition operators on the space of smooth functions
J. Bes, C. Foster
https://arxiv.org/abs/2507.16425 https://

Supercyclic weighted composition operators on the space of smooth functions
A weighted composition operator on the space of scalar-valued smooth functions on an open set of d-dimensional Euclidean space is supercyclic if and only if it is weakly mixing, and it is strongly supercyclic if and only if it is mixing. Every mixing such operator is chaotic. In the one-dimensional case, it is supercyclic if and only if it is mixing and if and only if it is chaotic.

Functional calculus on weighted Sobolev spaces for the Laplacian on rough domains
Nick Lindemulder, Emiel Lorist, Floris Roodenburg, Mark Veraar
https://arxiv.org/abs/2507.13478

Functional calculus on weighted Sobolev spaces for the Laplacian on rough domains
We study the Laplace operator on domains subject to Dirichlet or Neumann boundary conditions. We show that these operators admit a bounded $H^{\infty}$-functional calculus on weighted Sobolev spaces, where the weights are powers of the distance to the boundary. Our analysis applies to bounded $C^{1,λ}$-domains with $λ\in[0,1]$, revealing a crucial trade-off: lower domain regularity can be compensated by enlarging the weight exponent. As a primary consequence, we establish maximal regularity f…

Converting T1-weighted MRI from 3T to 7T quality using deep learning
Malo Gicquel, Ruoyi Zhao, Anika Wuestefeld, Nicola Spotorno, Olof Strandberg, Kalle {\AA}str\"om, Yu Xiao, Laura EM Wisse, Danielle van Westen, Rik Ossenkoppele, Niklas Mattsson-Carlgren, David Berron, Oskar Hansson, Gabrielle Flood, Jacob Vogel
https://ar…

Converting T1-weighted MRI from 3T to 7T quality using deep learning
Ultra-high resolution 7 tesla (7T) magnetic resonance imaging (MRI) provides detailed anatomical views, offering better signal-to-noise ratio, resolution and tissue contrast than 3T MRI, though at the cost of accessibility. We present an advanced deep learning model for synthesizing 7T brain MRI from 3T brain MRI. Paired 7T and 3T T1-weighted images were acquired from 172 participants (124 cognitively unimpaired, 48 impaired) from the Swedish BioFINDER-2 study. To synthesize 7T MRI from 3T imag…

lesmis: Les Misérables coappearances
The network of scene coappearances of characters in Victor Hugo's novel "Les Miserables". Edge weights denote the number of such occurrences.
This network has 77 nodes and 254 edges.
Tags: Social, Fictional, Weighted
https://networks.skewed.de/net/lesmis

Dynamics for affine composition operators on weighted Bergman space of a half plane
Artur Blois, Osmar R. Severiano
https://arxiv.org/abs/2506.15822 https:…

Dynamics for affine composition operators on weighted Bergman space of a half plane
In this article, we completely characterize the positive expansive and absolutely Cesàro composition operators $C_ϕf=f\circ ϕ$ induced by affine self-maps $ϕ$ of the right half-plane $\mathbb{C}_+$ on the weighted Bergman space $\mathcal{A}^2_α(\mathbb{C}_+)$. Furthermore, we characterize which of these operators have the positive shadowing property.

plant_pol_kato: Kato plant-pollinator web
A bipartite network of plants and pollinators from Kyoto University Forest of Ashu, Japan, from 1984 to 1987. Edge weights represent frequency of interactions.
This network has 772 nodes and 1206 edges.
Tags: Biological, Food web, Weighted
https://networks.skewed.d…

Replaced article(s) found for math.CO. https://arxiv.org/list/math.CO/new
[1/1]:
- Recursive properties of the characteristic polynomial of weighted lattices
Gianira N. Alfarano, Eimear Byrne

unicodelang: Languages spoken by country (2015)
A bipartite network of languages and the countries in which they are spoken, as estimated by Unicode. Edges are weighted by the proportion of the given country's population that is literate in a particular language.
This network has 868 nodes and 1255 edges.
Tags: Informational, Relatedness, Weighted

Vector valued weighted analogue of converse of Wiener-L\'evy theorem and applications to modulation spaces
Divyang G. Bhimani, Karishman B. Solanki
https://arxiv.org/abs/2507.16516

Vector valued weighted analogue of converse of Wiener-Lévy theorem and applications to modulation spaces
We shall prove a strong converse of the Wiener-Lévy theorem in weighted setting for Banach algebra valued functions. In fact, it is shown that if $ω$ is a weight on a discrete abelian group $G$, $\mathcal X$ is a unital commutative Banach algebra and if $F$ is a $\mathcal X-$valued function defined on $\mathbb C$ such that $T_F(f)=F\circ f \in A^q(Γ,\mathcal X)$ for all $f\in A^1_ω(Γ,\mathcal X)$, then $F$ must be real analytic. Its multivariate analogue and analogue for locally compact ab…

Weighted $k$-Server Admits an Exponentially Competitive Algorithm
Adithya Bijoy, Ankit Mondal, Ashish Chiplunkar
https://arxiv.org/abs/2507.12130 https://

Weighted $k$-Server Admits an Exponentially Competitive Algorithm
The weighted $k$-server is a variant of the $k$-server problem, where the cost of moving a server is the server's weight times the distance through which it moves. The problem is famous for its intriguing properties and for evading standard techniques for designing and analyzing online algorithms. Even on uniform metric spaces with sufficiently many points, the deterministic competitive ratio of weighted $k$-server is known to increase doubly exponentially with respect to $k$, while the behavio…

netscience: Scientific collaborations in network science (2006)
A coauthorship network among scientists working on network science, from 2006. This network is a one-mode projection from the bipartite graph of authors and their scientific publications.
This network has 1589 nodes and 2742 edges.
Tags: Social, Collaboration, Weighted, Projection

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

Maximal inequalities for square functions associated to group metric measure spaces
Panchugopal Bikram, Diptesh Saha
https://arxiv.org/abs/2506.18589 https…

Maximal inequalities for square functions associated to group metric measure spaces
In this article, we establish weighted strong and weak type inequalities for non-commutative square functions associated with the differences of ball averages and martingales over group metric measure spaces. These results generalise the main outcome of \cite{saha-rayweighted}.

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

The set of minimal distances of the monoid of plus-minus weighted zero-sum sequences and applications to the characterization problem
Kamil Merito (LAGA), Oscar Ordaz (UCV), Wolfgang Schmid (LAGA)
https://arxiv.org/abs/2506.14279

The set of minimal distances of the monoid of plus-minus weighted zero-sum sequences and applications to the characterization problem
Recently a systematic investigation of monoids of sequences of plus-minus weighted zero-sum sequences had been started, which is among others motivated by applications to monoids of norms of algebraic integers. In the current paper these investigations are continued. The focus is on the set of minimal distances of these monoids, which is an important arithmetical invariant. Applications to the characterization problem are discussed as well.

bible_nouns: Bible noun phrases
A network of noun phrases (places and names) in the King James Version of the Bible. Each node is a noun phrase, and an edge exists if the noun phrases co-occur in a Bible verse. Edge weight denotes how often the two words co-occur.
This network has 1773 nodes and 9131 edges.
Tags: Informational, Language, Weighted

twitter_higgs: Twitter, Higgs boson (2012)
Data on tweets related to the announcement of the discovery of a new fundamental particle with the features of the Higgs boson on 4th July 2012. Data covers 1-7 July 2012, and includes four types of networks: followers, retweets, replies, and mentions.
This network has 256491 nodes and 328132 edges.
Tags: Social, Online, Weighted, Multilayer

twitter_higgs: Twitter, Higgs boson (2012)
Data on tweets related to the announcement of the discovery of a new fundamental particle with the features of the Higgs boson on 4th July 2012. Data covers 1-7 July 2012, and includes four types of networks: followers, retweets, replies, and mentions.
This network has 456626 nodes and 14855842 edges.
Tags: Social, Online, Weighted, Multilayer

baseball: Baseball steroid use (2008)
Two networks representing steroid use among baseball players. First, a bipartite network of players and their steroid providers (of illegal performance-enhancing substances). Second, a one-mode projection of players, which are linked if they have a common supplier.
This network has 72 nodes and 1089 edges.
Tags: Social, Offline, Weighted, Projection

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

Toeplitz operators and weighted composition operators on variable exponent Bergman spaces
Cezhong Tong, Zicong Yang, Zehua Zhou
https://arxiv.org/abs/2507.13675

Toeplitz operators and weighted composition operators on variable exponent Bergman spaces
In a recent paper [JFA, 278 (2020), 108401], Choe et al. obtained characterizations for bounded and compact differences of two weighted composition operators acting on standard weighted Bergman spaces over the unit disk in terms of Carleson measures. Then they extended the results to the ball setting. In this paper, we further generalize those results to variable exponent Bergman spaces over the unit ball. Our proofs, when restricted to the case of constant variable, are new and simpler. Moreov…

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 17345 nodes and 21524 edges.
Tags: Economic, Commerce, Weighted, Temporal

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

celegans_2019: Complete C. elegans neurons (2019)
Networks among neurons of both the adult male and adult hermaphrodite worms C. elegans, constructed from electron microscopy series, to include directed edges (chemical) and undirected (gap junction), and spanning including nodes for muscle and non-muscle end organs.
This network has 575 nodes and 5306 edges.
Tags: Biological, Connectome, Weighted

residence_hall: ANU Residence Hall network
A network of friendships among students living in a residence hall at Australian National University (date unknown). Edge direction indicates that resident i named resident j as a friend, and edge weight indicates the level of friendship: 5 (best friend), 4 (close friend), 3 (friend), 2, 1.
This network has 217 nodes and 2672 edges.
Tags: Social, Offline, Weighted

moviegalaxies: Moviegalaxies, movies 410-466 (2018)
Social graphs for over 700 movies from the moviegalaxies.com website. Each node represents a character in a movie and each edge is a same-scene appearance between two characters in that movie. The weight gives the number of same-scene appearances. Networks are extracted from movie scripts automatically.
This network has 58 nodes and 201 edges.
Tags: Social, Fictional, 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

train_terrorists: Madrid train bombing terrorists (2004)
A network of associations among the terrorists involved in the 2004 Madrid train bombing, as reconstructed from press stories after-the-fact. Edge weights encode four levels of connection strength: friendships, ties to Al Qaeda and Osama Bin Laden, co-participants in wars, and co-participants in previous terrorist attacks.
This network has 64 nodes and 243 edges.
Tags: Social, Offline, Weighted

game_thrones: Game of Thrones coappearances
Network of coappearances of characters in the Game of Thrones series, by George R. R. Martin, and in particular coappearances in the book "A Storm of Swords." Nodes are unique characters, and edges are weighted by the number of times the two characters' names appeared within 15 words of each other in the text.
This network has 107 nodes and 352 edges.
Tags: Social, Fictional, Weighted

game_thrones: Game of Thrones coappearances
Network of coappearances of characters in the Game of Thrones series, by George R. R. Martin, and in particular coappearances in the book "A Storm of Swords." Nodes are unique characters, and edges are weighted by the number of times the two characters' names appeared within 15 words of each other in the text.
This network has 107 nodes and 352 edges.
Tags: Social, Fictional, Weighted

celegans_2019: Complete C. elegans neurons (2019)
Networks among neurons of both the adult male and adult hermaphrodite worms C. elegans, constructed from electron microscopy series, to include directed edges (chemical) and undirected (gap junction), and spanning including nodes for muscle and non-muscle end organs.
This network has 585 nodes and 1755 edges.
Tags: Biological, Connectome, Weighted

foodweb_baywet: Florida cypress wetlands food web (1998)
Networks of carbon exchanges among species in the cypress wetlands of South Florida. One network covers the wet and the other the dry season. Each node represents a taxon (similar to a species), and a directed edge indicates that one taxon uses another as food.
This network has 128 nodes and 2106 edges.
Tags: Biological, Food web, Weighted

sp_colocation: Social co-locations (2018)
Network of colocations between peoople, based on the information on which RFID readers received information from the RFID tags. Namely, we define two individuals to be in co-presence if the same exact set of readers have received signals from both individuals during a 20s time window.
This network has 100 nodes and 394247 edges.
Tags: Social, Offline, Unweighted, Weighted, Temporal, Metadata

sp_colocation: Social co-locations (2018)
Network of colocations between peoople, based on the information on which RFID readers received information from the RFID tags. Namely, we define two individuals to be in co-presence if the same exact set of readers have received signals from both individuals during a 20s time window.
This network has 81 nodes and 150126 edges.
Tags: Social, Offline, Unweighted, Weighted, Temporal, Metadata

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