Imagen de Portada

Mathematical model of dating apps influence on sexually transmitted diseases spread

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autor principal:	Lazebnik, Teddy
Formato:	Preprint
Publicado:	2023
Materias:	Social and Information Networks
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Evaluating Supply Chain Resilience During Pandemic Using Agent-based Simulation
por: Lazebnik, Teddy
Publicado: (2024)

Friends, Foes, and First Authors: A Game Theory Model of How Power Plays Rewrite Academic Co-Authorship Networks
por: Bengal, Amit, et al.
Publicado: (2026)

The Topology of a Family Tree Graph and Its Members' Satisfaction with One Another: A Machine Learning Approach
por: Lazebnik, Teddy, et al.
Publicado: (2023)

The Scientometrics and Reciprocality Underlying Co-Authorship Panels in Google Scholar Profiles
por: Alexi, Ariel, et al.
Publicado: (2023)

Can We Mathematically Spot Possible Manipulation of Results in Research Manuscripts Using Benford's Law?
por: Lazebnik, Teddy, et al.
Publicado: (2023)

Service Preservation from Matching Non-Matching Socks Under Stochastic Loss
por: Lazebnik, Teddy
Publicado: (2026)

Cost-optimal Seeding Strategy During a Botanical Pandemic in Domesticated Fields
por: Lazebnik, Teddy
Publicado: (2023)

Transforming Norm-based To Graph-based Spatial Representation for Spatio-Temporal Epidemiological Models
por: Lazebnik, Teddy
Publicado: (2024)

Prestige bias drives the viral spread of content reposted by influencers in online communities
por: Niitsuma, Takuro, et al.
Publicado: (2024)

The role of susceptible individuals in spreading dynamics
por: Su, Chang, et al.
Publicado: (2024)

High Resolution Spatio-Temporal Model for Room-Level Airborne Pandemic Spread
por: Lazebnik, Teddy, et al.
Publicado: (2022)

Detecting LLM-assisted writing in scientific communication: Are we there yet?
por: Lazebnik, Teddy, et al.
Publicado: (2024)

Learning of networked spreading models from noisy and incomplete data
por: Wilinski, Mateusz, et al.
Publicado: (2023)

Chronic Stress, Immune Suppression, and Cancer Occurrence: Unveiling the Connection using Survey Data and Predictive Models
por: Lazebnik, Teddy, et al.
Publicado: (2025)

An evidence-accumulating drift-diffusion model of competing information spread on networks
por: Corsin, Julien, et al.
Publicado: (2024)

Investigating Tax Evasion Emergence Using Dual Large Language Model and Deep Reinforcement Learning Powered Agent-based Simulation
por: Lazebnik, Teddy, et al.
Publicado: (2025)

Self-reinforcing cascades: A spreading model for beliefs or products of varying intensity or quality
por: Hébert-Dufresne, Laurent, et al.
Publicado: (2024)

Community-based fact-checking reduces the spread of misleading posts on social media
por: Chuai, Yuwei, et al.
Publicado: (2024)

The Iterated Local Model for tournaments
por: Bonato, Anthony, et al.
Publicado: (2026)

Epidemic spreading in group-structured populations
por: Patwardhan, Siddharth, et al.
Publicado: (2023)

Fake news: No ban, No spread -- with Sequestration
por: Galam, Serge
Publicado: (2024)

Digital cloning of online social networks for language-sensitive agent-based modeling of misinformation spread
por: Puri, Prateek, et al.
Publicado: (2024)

Celebrity messages reduce online hate and limit its spread
por: Jahani, Eaman, et al.
Publicado: (2026)

Modelling the mitigation of anti-vaccine opinion propagation to suppress epidemic spread: A computational approach
por: Alahmadi, Sarah, et al.
Publicado: (2024)

Who should fight the spread of fake news?
por: Riazi, Diana, et al.
Publicado: (2024)

Individual Variation Affects Outbreak Magnitude and Predictability in an Extended Multi-Pathogen SIR Model of Pigeons Vising Dairy Farms
por: Lazebnik, Teddy, et al.
Publicado: (2023)

Recent violent political extremist events in Brazil and epidemic modeling: The role of a SIS-like model on the understanding of spreading and control of radicalism
por: Crokidakis, Nuno
Publicado: (2023)

Nonequilibrium phase transitions in a racism-spreading model with interaction-driven dynamics
por: Crokidakis, Nuno, et al.
Publicado: (2026)

Predicting Lung Cancer's Metastats' Locations Using Bioclinical Model
por: Lazebnik, Teddy, et al.
Publicado: (2023)

Interplay of epidemic spreading and vaccine uptake under complex social contagion
por: de Miguel-Arribas, Alfonso, et al.
Publicado: (2024)

The impact of nodes of information dissemination on epidemic spreading in dynamic multiplex networks
por: Feng, Minyu, et al.
Publicado: (2024)

Dynamics of temporal influence in polarised networks
por: Pena, Caroline B., et al.
Publicado: (2025)

BOPIM: Bayesian Optimization for influence maximization on temporal networks
por: Yanchenko, Eric
Publicado: (2023)

Quantifying edge relevance for epidemic spreading via the semi-metric topology of complex networks
por: Paños, David Soriano, et al.
Publicado: (2023)

The spread of low-credibility content by social bots
por: Shao, Chengcheng, et al.
Publicado: (2017)

When cardinals strategize: An agent-based model of influence and ideology for the papal conclave
por: Crokidakis, Nuno
Publicado: (2025)

BCIM: Budget and capacity constrained influence maximization in multilayer networks
por: Zhang, Su-Su, et al.
Publicado: (2024)

An experimental study of the influence of anonymous information on social media users
por: Szymanski, Boleslaw K., et al.
Publicado: (2025)

Do Stubborn Users Always Cause More Polarization and Disagreement? A Mathematical Study
por: Shirzadi, Mohammad, et al.
Publicado: (2024)

How social networks influence human behavior: An integrated latent space approach for differential social influence
por: Park, Jina, et al.
Publicado: (2021)