Imagen de Portada

Community detection problem based on polarization measures:an application to Twitter: the COVID-19 case in Spain

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Gutiérrez, Inmaculada, Guevara, Juan Antonio, Gómez, Daniel, Castro, Javier, Espínola, Rosa
Formato:	Preprint
Publicado:	2024
Materias:	Social and Information Networks Statistics Theory Physics and Society 62.08, G.3
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Multiple bipolar fuzzy measures: an application to community detection problems for networks with additional information
por: Gutiérrez, Inmaculada, et al.
Publicado: (2024)

Calculating the interaction index of a fuzzy measure: a polynomial approach based on sampling
por: Gutiérrez, Inmaculada, et al.
Publicado: (2024)

A Modified Bayesian Criterion for Model Selection in Mixed and Hierarchical Frameworks
por: Ramirez, Diogenes de Jesus, et al.
Publicado: (2026)

A new edge betweenness measure using a game theoretical approach: an application to hierarchical community detection
por: Gómez, Daniel, et al.
Publicado: (2024)

Symmetry: a General Structure in Nonparametric Regression
por: Christie, Louis G., et al.
Publicado: (2024)

Nonparametric local polynomial regression for functional covariates
por: Jirak, Moritz, et al.
Publicado: (2025)

Asymptotic equivalence for nonparametric additive regression
por: Jirak, Moritz, et al.
Publicado: (2026)

Noise-resilient penalty operators based on statistical differentiation schemes
por: Vidal, Marc, et al.
Publicado: (2026)

On the Bayesian analysis of a non-identifiable Binomial model
por: Marchand, Éric
Publicado: (2026)

Adaptation using spatially distributed Gaussian Processes
por: Szabo, Botond, et al.
Publicado: (2023)

Automatic and location-adaptive estimation in functional single-index regression
por: Novo, Silvia, et al.
Publicado: (2024)

Nonparametric Regression for Random Unbiased Perturbations
por: Lyubarskaja, Anna, et al.
Publicado: (2025)

Asymptotic equivalence of non-parametric regression with spherical regressors and Gaussian white noise
por: Kroll, Martin
Publicado: (2025)

Single-index models for extreme value index regression
por: Yoshida, Takuma
Publicado: (2022)

Asymptotic theory for extreme value generalized additive models
por: Yoshida, Takuma
Publicado: (2023)

On deviation probabilities in non-parametric regression with heavy-tailed noise
por: Ben-Hamou, Anna, et al.
Publicado: (2023)

Estimating a regression function under possible heteroscedastic and heavy-tailed errors. Application to shape-restricted regression
por: Baraud, Yannick, et al.
Publicado: (2025)

A Minimax Theory of Nonparametric Regression Under Covariate Shift
por: Zamolodtchikov, Petr
Publicado: (2026)

Totally Concave Regression
por: Ki, Dohyeong, et al.
Publicado: (2025)

Least Squares-Based Permutation Tests in Time Series
por: Romano, Joseph P., et al.
Publicado: (2024)

A Note on Local Linear Regression for Time Series in Banach Spaces
por: Heinrichs, Florian
Publicado: (2025)

Distributional Conformal Prediction for Markov Processes
por: Dai, Dehao, et al.
Publicado: (2026)

Asymptotic confidence bands for the histogram regression estimator
por: Neumeyer, Natalie, et al.
Publicado: (2025)

Sparse semiparametric regression when predictors are mixture of functional and high-dimensional variables
por: Novo, Silvia, et al.
Publicado: (2024)

Adaptive functional principal components analysis
por: Wang, Sunny G. W., et al.
Publicado: (2023)

Batch learning equals online learning in Bayesian supervised learning
por: Lê, Hông Vân
Publicado: (2025)

Composite Lp-quantile regression, near quantile regression and the oracle model selection theory
por: Mou, Fuming Lin WEilin
Publicado: (2025)

Adaptive estimation for nonparametric circular regression with errors in variables
por: Nguyen, Tien Dat, et al.
Publicado: (2025)

Estimating a Function and Its Derivatives Under a Smoothness Condition
por: Lim, Eunji
Publicado: (2024)

Rates of convergence for nearest neighbor estimators with the smoother regression function
por: Ayano, Takanori
Publicado: (2011)

Adaptive thresholding for wavelet-based nonparametric heteroskedastic variance estimation on the sphere
por: Durastanti, Claudio, et al.
Publicado: (2026)

Generative Modelling via Quantile Regression
por: Schmidt-Hieber, Johannes, et al.
Publicado: (2024)

Alignment-Sensitive Minimax Rates for Spectral Algorithms with Learned Kernels
por: Huang, Dongming, et al.
Publicado: (2025)

What Functions Does XGBoost Learn?
por: Ki, Dohyeong, et al.
Publicado: (2026)

MARS via LASSO
por: Ki, Dohyeong, et al.
Publicado: (2021)

Towards practical PDMP sampling: Metropolis adjustments, locally adaptive step-sizes, and NUTS-based time lengths
por: Chevallier, Augustin, et al.
Publicado: (2025)

Asymptotic confidence bands for centered purely random forests
por: Neumeyer, Natalie, et al.
Publicado: (2025)

Estimation of a Likelihood Ratio Ordered Family of Distributions
por: Mösching, Alexandre, et al.
Publicado: (2020)

On the Dirichlet-kernel Gasser--Müller estimator and its competitors for fixed design regression on the simplex
por: Daayeb, Hanen, et al.
Publicado: (2025)

Local linear smoothing for regression surfaces on the simplex using Dirichlet kernels
por: Genest, Christian, et al.
Publicado: (2024)