Cover Image

What Drives Online Popularity: Author, Content or Sharers? Estimating Spread Dynamics with Bayesian Mixture Hawkes

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Calderon, Pio, Rizoiu, Marian-Andrei
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Social and Information Networks
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Opinion Market Model: Stemming Far-Right Opinion Spread using Positive Interventions
by: Calderon, Pio, et al.
Published: (2022)

Beyond Content: Behavioral Policies Reveal Actors in Information Operations
by: Schneider, Philipp J., et al.
Published: (2026)

Behavioral Homophily in Social Media via Inverse Reinforcement Learning: A Reddit Case Study
by: Yuan, Lanqin, et al.
Published: (2025)

Estimating Online Influence Needs Causal Modeling! Counterfactual Analysis of Social Media Engagement
by: Tian, Lin, et al.
Published: (2025)

Linking Across Data Granularity: Fitting Multivariate Hawkes Processes to Partially Interval-Censored Data
by: Calderon, Pio, et al.
Published: (2021)

Conductance and Influence-Capital: Modeling Online Social Influence
by: Ram, Rohit, et al.
Published: (2021)

DREAMS: A Social Exchange Theory-Informed Modeling of Misinformation Engagement on Social Media
by: Tian, Lin, et al.
Published: (2026)

Generalizing Hate Speech Detection Using Multi-Task Learning: A Case Study of Political Public Figures
by: Yuan, Lanqin, et al.
Published: (2022)

Brexit Means Brexit: Selection Bias, Echo Chambers, and Entrenched Opinion on Reddit
by: Rizoiu, Marian-Andrei, et al.
Published: (2026)

Learning to Make Friends: Coaching LLM Agents toward Emergent Social Ties
by: Schneider, Philipp J., et al.
Published: (2025)

Communication-Constrained Private Decentralized Online Personalized Mean Estimation
by: Yakimenka, Yauhen, et al.
Published: (2025)

Spectral clustering for dependent community Hawkes process models of temporal networks
by: Zhao, Lingfei, et al.
Published: (2025)

Signals from the Floods: AI-Driven Disaster Analysis through Multi-Source Data Fusion
by: Gong, Xian, et al.
Published: (2025)

Let Community Rules Be Reflected in Online Content Moderation
by: Xin, Wangjiaxuan, et al.
Published: (2024)

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

Detecting Structural Shifts in Multivariate Hawkes Processes with Fréchet Statistics
by: Luo, Rui, et al.
Published: (2023)

Quantifying Feature Importance for Online Content Moderation
by: Tessa, Benedetta, et al.
Published: (2025)

HawkesRank: Event-Driven Centrality for Real-Time Importance Ranking
by: Sornette, Didier, et al.
Published: (2026)

Enhancing Content Moderation with Culturally-Aware Models
by: Chan, Alex J., et al.
Published: (2023)

Mixture of Message Passing Experts with Routing Entropy Regularization for Node Classification
by: Chen, Xuanze, et al.
Published: (2025)

Bayesian Sheaf Neural Networks
by: Gillespie, Patrick, et al.
Published: (2024)

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

TESTAM: A Time-Enhanced Spatio-Temporal Attention Model with Mixture of Experts
by: Lee, Hyunwook, et al.
Published: (2024)

Specious Sites: Tracking the Spread and Sway of Spurious News Stories at Scale
by: Hanley, Hans W. A., et al.
Published: (2023)

Mixture of Scope Experts at Test: Generalizing Deeper Graph Neural Networks with Shallow Variants
by: Deng, Gangda, et al.
Published: (2024)

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

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

Do We Trust What They Say or What They Do? A Multimodal User Embedding Provides Personalized Explanations
by: Ren, Zhicheng, et al.
Published: (2024)

Learning for Detecting Norm Violation in Online Communities
by: Santos, Thiago Freitas dos, et al.
Published: (2021)

Collaborative Content Moderation in the Fediverse
by: Zia, Haris Bin, et al.
Published: (2025)

Analyzing Political Text at Scale with Online Tensor LDA
by: Kangaslahti, Sara, et al.
Published: (2025)

What Do Temporal Graph Learning Models Learn?
by: Hayes, Abigail J., et al.
Published: (2025)

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

Interactive Event Sifting using Bayesian Graph Neural Networks
by: Nascimento, José, et al.
Published: (2024)

Hawkes based Representation Learning for Reasoning over Scale-free Community-structured Temporal Knowledge Graphs
by: Du, Yuwei, et al.
Published: (2024)

What Is Missing In Homophily? Disentangling Graph Homophily For Graph Neural Networks
by: Zheng, Yilun, et al.
Published: (2024)

Online Minimization of Polarization and Disagreement via Low-Rank Matrix Bandits
by: Cinus, Federico, et al.
Published: (2025)

Graph Neural Network Generalization with Gaussian Mixture Model Based Augmentation
by: Abbahaddou, Yassine, et al.
Published: (2024)

VaxPulse: Monitoring of Online Public Concerns to Enhance Post-licensure Vaccine Surveillance
by: Javed, Muhammad, et al.
Published: (2025)

Estimating the history of a random recursive tree
by: Briend, Simon, et al.
Published: (2024)