How social networks influence human behavior: An integrated latent space approach for differential social influence
Fuente:
arXiv
Guardado en:
| Autores principales: | Park, Jina, Jin, Ick Hoon, Jeon, Minjeong |
|---|---|
| Formato: | Preprint |
| Publicado: |
2021
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Constructing Reliable Social Networks from Conversational Data: An Ensemble Prompt Engineering Approach with Uncertainty Quantification
por: Kim, Gwanghee, et al.
Publicado: (2025)
por: Kim, Gwanghee, et al.
Publicado: (2025)
Analysis of Log Data from an International Online Educational Assessment System: A Multi-state Survival Modeling Approach to Reaction Time between and across Action Sequence
por: Park, Jina, et al.
Publicado: (2024)
por: Park, Jina, et al.
Publicado: (2024)
A Doubly Latent Space Joint Model for Local Item and Person Dependence in the Analysis of Item Response Data
por: Jin, Ick Hoon, et al.
Publicado: (2016)
por: Jin, Ick Hoon, et al.
Publicado: (2016)
Network-based Topic Structure Visualization
por: Jeon, Yeseul, et al.
Publicado: (2024)
por: Jeon, Yeseul, et al.
Publicado: (2024)
Assessing the influence of social media feedback on traveler's future trip-planning behavior: A multi-model machine learning approach
por: Mukherjee, Sayantan, et al.
Publicado: (2025)
por: Mukherjee, Sayantan, et al.
Publicado: (2025)
Analyzing Process Data from Computer-Based Assessments: A Tutorial on Preprocessing, Feature Extraction, and Model-Based Inference
por: Hwangbo, Daeun, et al.
Publicado: (2026)
por: Hwangbo, Daeun, et al.
Publicado: (2026)
Impacts of Innovation School System in Korea: A Latent Space Item Response Model with Neyman-Scott Point Process
por: Yi, Seorim, et al.
Publicado: (2023)
por: Yi, Seorim, et al.
Publicado: (2023)
Causal inference for social network formation
por: Kasy, Maximilian, et al.
Publicado: (2026)
por: Kasy, Maximilian, et al.
Publicado: (2026)
Hierarchical Latent Space Item Response Model for Analyzing Mental Health Vulnerability of Elementary School Students in South Korea
por: Park, Soyeon, et al.
Publicado: (2026)
por: Park, Soyeon, et al.
Publicado: (2026)
How segmented is my network?
por: Dube, Rohit
Publicado: (2026)
por: Dube, Rohit
Publicado: (2026)
Followers do not dictate the virality of news outlets on social media
por: Sangiorgio, Emanuele, et al.
Publicado: (2024)
por: Sangiorgio, Emanuele, et al.
Publicado: (2024)
Evidence of social learning across symbolic cultural barriers in sperm whales
por: Leitão, António, et al.
Publicado: (2023)
por: Leitão, António, et al.
Publicado: (2023)
Who is driving the conversation? Analysing the nodality of British MPs and journalists on social media
por: Chakraborty, Sukankana, et al.
Publicado: (2024)
por: Chakraborty, Sukankana, et al.
Publicado: (2024)
Relational hyperevent models for polyadic interaction networks
por: Lerner, Jürgen, et al.
Publicado: (2021)
por: Lerner, Jürgen, et al.
Publicado: (2021)
Evidencing preferential attachment in dependency network evolution
por: Lee, Clement
Publicado: (2025)
por: Lee, Clement
Publicado: (2025)
lsirm12pl: An R package for latent space item response modeling
por: Go, Dongyoung, et al.
Publicado: (2022)
por: Go, Dongyoung, et al.
Publicado: (2022)
Communication network dynamics in a large organizational hierarchy
por: Josephs, Nathaniel, et al.
Publicado: (2022)
por: Josephs, Nathaniel, et al.
Publicado: (2022)
A density-based framework for community detection in attributed networks
por: Geremia, Sara, et al.
Publicado: (2025)
por: Geremia, Sara, et al.
Publicado: (2025)
Political attitudes differ but share a common low-dimensional structure across social media and survey data
por: Vendeville, Antoine, et al.
Publicado: (2026)
por: Vendeville, Antoine, et al.
Publicado: (2026)
Degree distributions in networks: beyond the power law
por: Lee, Clement, et al.
Publicado: (2020)
por: Lee, Clement, et al.
Publicado: (2020)
Lower Ricci Curvature for Efficient Community Detection
por: Park, Yun Jin, et al.
Publicado: (2024)
por: Park, Yun Jin, et al.
Publicado: (2024)
Learning common structures in a collection of networks. An application to food webs
por: Chabert-Liddell, Saint-Clair, et al.
Publicado: (2022)
por: Chabert-Liddell, Saint-Clair, et al.
Publicado: (2022)
Predicting soccer matches with complex networks and machine learning
por: Baratela, Eduardo Alves, et al.
Publicado: (2024)
por: Baratela, Eduardo Alves, et al.
Publicado: (2024)
The Price-Pareto growth model of networks with community structure
por: Brzozowski, Łukasz, et al.
Publicado: (2025)
por: Brzozowski, Łukasz, et al.
Publicado: (2025)
Non-robustness of diffusion estimates on networks with measurement error
por: Chandrasekhar, Arun G., et al.
Publicado: (2024)
por: Chandrasekhar, Arun G., et al.
Publicado: (2024)
The latent cognitive structures of social networks
por: Aguiar, Izabel, et al.
Publicado: (2023)
por: Aguiar, Izabel, et al.
Publicado: (2023)
Uncovering migration systems through spatio-temporal tensor co-clustering
por: Almquist, Zack W., et al.
Publicado: (2021)
por: Almquist, Zack W., et al.
Publicado: (2021)
A Behavioral Micro-foundation for Cross-sectional Network Models
por: Butts, Carter T., et al.
Publicado: (2026)
por: Butts, Carter T., et al.
Publicado: (2026)
Ego Group Partition: A Novel Framework for Improving Ego Experiments in Social Networks
por: Deng, Lu, et al.
Publicado: (2024)
por: Deng, Lu, et al.
Publicado: (2024)
Causal Inference in Social Platforms Under Approximate Interference Networks
por: Jiang, Yiming, et al.
Publicado: (2024)
por: Jiang, Yiming, et al.
Publicado: (2024)
Augmented Degree Correction for Bipartite Networks with Applications to Recommender Systems
por: Leinwand, Benjamin, et al.
Publicado: (2023)
por: Leinwand, Benjamin, et al.
Publicado: (2023)
Beyond Asymptotics: Practical Insights into Community Detection in Complex Networks
por: Ke, Tianjun, et al.
Publicado: (2024)
por: Ke, Tianjun, et al.
Publicado: (2024)
Measuring Network Dynamics of Opioid Overdose Deaths in the United States
por: Tiwari, Kushagra, et al.
Publicado: (2024)
por: Tiwari, Kushagra, et al.
Publicado: (2024)
Exponential Random Graph Models for Dynamic Signed Networks: An Application to International Relations
por: Fritz, Cornelius, et al.
Publicado: (2022)
por: Fritz, Cornelius, et al.
Publicado: (2022)
PoSSUM: A Protocol for Surveying Social-media Users with Multimodal LLMs
por: Cerina, Roberto
Publicado: (2025)
por: Cerina, Roberto
Publicado: (2025)
Rumor Forwarding Prediction Model Based on Uncertain Time Series
por: Wang, Ruihong, et al.
Publicado: (2024)
por: Wang, Ruihong, et al.
Publicado: (2024)
Treatment Effect Estimation Amidst Dynamic Network Interference in Online Gaming Experiments
por: Zhu, Yu, et al.
Publicado: (2024)
por: Zhu, Yu, et al.
Publicado: (2024)
Enhancing Stability and Assessing Uncertainty in Community Detection through a Consensus-based Approach
por: Morea, Fabio, et al.
Publicado: (2024)
por: Morea, Fabio, et al.
Publicado: (2024)
Countering the Forgetting of Novel Health Information with 'Social Boosting'
por: Krishna, Vaibhav, et al.
Publicado: (2025)
por: Krishna, Vaibhav, et al.
Publicado: (2025)
Endogenous Coalition Formation in Policy Debates
por: Leifeld, Philip, et al.
Publicado: (2019)
por: Leifeld, Philip, et al.
Publicado: (2019)
Ejemplares similares
-
Constructing Reliable Social Networks from Conversational Data: An Ensemble Prompt Engineering Approach with Uncertainty Quantification
por: Kim, Gwanghee, et al.
Publicado: (2025) -
Analysis of Log Data from an International Online Educational Assessment System: A Multi-state Survival Modeling Approach to Reaction Time between and across Action Sequence
por: Park, Jina, et al.
Publicado: (2024) -
A Doubly Latent Space Joint Model for Local Item and Person Dependence in the Analysis of Item Response Data
por: Jin, Ick Hoon, et al.
Publicado: (2016) -
Network-based Topic Structure Visualization
por: Jeon, Yeseul, et al.
Publicado: (2024) -
Assessing the influence of social media feedback on traveler's future trip-planning behavior: A multi-model machine learning approach
por: Mukherjee, Sayantan, et al.
Publicado: (2025)