Measuring Social Influence with Networked Synthetic Control

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Chang, Ho-Chun Herbert
Format:	Preprint
Published:	2025
Subjects:	Social and Information Networks Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Food as Soft Power: Taiwanese Gastrodiplomacy on Social Media and Algorithmic Suppression
by: Chang, Andrew Yen, et al.
Published: (2025)

Influence Strength Estimation in Hyperbolic Space for Social Influence Maximization
by: Qiao, Hongliang, et al.
Published: (2025)

A Survey of Graph Neural Networks for Social Recommender Systems
by: Sharma, Kartik, et al.
Published: (2022)

Crafting Tomorrow: The Influence of Design Choices on Fresh Content in Social Media Recommendation
by: Saket, Srijan, et al.
Published: (2024)

Twinning Complex Networked Systems: Data-Driven Calibration of the mABCD Synthetic Graph Generator
by: Bródka, Piotr, et al.
Published: (2026)

Scalable Continuous-time Diffusion Framework for Network Inference and Influence Estimation
by: Huang, Keke, et al.
Published: (2024)

Causal Influences over Social Learning Networks
by: Kayaalp, Mert, et al.
Published: (2023)

NetInfoF Framework: Measuring and Exploiting Network Usable Information
by: Lee, Meng-Chieh, et al.
Published: (2024)

Non-Euclidean Mixture Model for Social Network Embedding
by: Iyer, Roshni G., et al.
Published: (2024)

How Predicted Links Influence Network Evolution: Disentangling Choice and Algorithmic Feedback in Dynamic Graphs
by: Perez, Mathilde, et al.
Published: (2026)

Balancing User Preferences by Social Networks: A Condition-Guided Social Recommendation Model for Mitigating Popularity Bias
by: He, Xin, et al.
Published: (2024)

Uncovering Social Network Activity Using Joint User and Topic Interaction
by: Abel, Gaspard, et al.
Published: (2025)

Disentangling, Amplifying, and Debiasing: Learning Disentangled Representations for Fair Graph Neural Networks
by: Lee, Yeon-Chang, et al.
Published: (2024)

Fedivertex: a Graph Dataset based on Decentralized Social Networks for Trustworthy Machine Learning
by: Damie, Marc, et al.
Published: (2025)

Online Influence Maximization: Concept and Algorithm
by: Guo, Jianxiong
Published: (2023)

Optimizing Digital Adjudication through Social Network Analysis: An Empirical Study of Credit Card Disputes in Beijing
by: Tsai, Chung Han, et al.
Published: (2026)

CasCIFF: A Cross-Domain Information Fusion Framework Tailored for Cascade Prediction in Social Networks
by: Zhu, Hongjun, et al.
Published: (2023)

SynHING: Synthetic Heterogeneous Information Network Generation for Graph Learning and Explanation
by: Hong, Ming-Yi, et al.
Published: (2024)

Graph Bayesian Optimization for Multiplex Influence Maximization
by: Yuan, Zirui, et al.
Published: (2024)

A Simple Model to Estimate Sharing Effects in Social Networks
by: Jeunen, Olivier
Published: (2024)

EVOLVE: Predicting User Evolution and Network Dynamics in Social Media Using Fine-Tuned GPT-like Model
by: Hossain, Ismail, et al.
Published: (2024)

Wildlife Product Trading in Online Social Networks: A Case Study on Ivory-Related Product Sales Promotion Posts
by: Mou, Guanyi, et al.
Published: (2024)

Learning Peer Influence Probabilities with Linear Contextual Bandits
by: Faruk, Ahmed Sayeed, et al.
Published: (2025)

Faces Speak Louder Than Words: Emotions Versus Textual Sentiment in the 2024 USA Presidential Election
by: Wei, Chiyu, et al.
Published: (2024)

Privacy-Preserving Community Detection for Locally Distributed Multiple Networks
by: Guo, Xiao, et al.
Published: (2023)

DiffIM: Differentiable Influence Minimization with Surrogate Modeling and Continuous Relaxation
by: Lee, Junghun, et al.
Published: (2025)

Inferring Individual Direct Causal Effects Under Heterogeneous Peer Influence
by: Adhikari, Shishir, et al.
Published: (2023)

Dynamic Gradient Influencing for Viral Marketing Using Graph Neural Networks
by: Sharma, Saurabh, et al.
Published: (2024)

When Do Graph Neural Networks Help with Node Classification? Investigating the Impact of Homophily Principle on Node Distinguishability
by: Luan, Sitao, et al.
Published: (2023)

DQ4FairIM: Fairness-aware Influence Maximization using Deep Reinforcement Learning
by: Saxena, Akrati, et al.
Published: (2025)

On the Power of Graph Neural Networks and Feature Augmentation Strategies to Classify Social Networks
by: Guettala, Walid, et al.
Published: (2024)

Weisfeiler and Leman Go Measurement Modeling: Probing the Validity of the WL Test
by: Subramonian, Arjun, et al.
Published: (2023)

SocialRec: User Activity Based Post Weighted Dynamic Personalized Post Recommendation System in Social Media
by: Hossain, Ismail, et al.
Published: (2024)

Towards Fair Graph Representation Learning in Social Networks
by: Zhang, Guixian, et al.
Published: (2024)

GASTON: Graph-Aware Social Transformer for Online Networks
by: Wloch, Olha, et al.
Published: (2026)

Modeling Social Media Recommendation Impacts Using Academic Networks: A Graph Neural Network Approach
by: Guidotti, Sabrina, et al.
Published: (2024)

Learning Social Graph for Inactive User Recommendation
by: Liu, Nian, et al.
Published: (2024)

Hierarchical Forecast Reconciliation on Networks: A Network Flow Optimization Formulation
by: Sharma, Charupriya, et al.
Published: (2025)

A City of Millions: Mapping Literary Social Networks At Scale
by: Hamilton, Sil, et al.
Published: (2025)

Large Language Models for Social Networks: Applications, Challenges, and Solutions
by: Zeng, Jingying, et al.
Published: (2024)