SAGraph: A Large-Scale Social Graph Dataset with Comprehensive Context for Influencer Selection in Marketing

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhang, Xiaoqing, Liu, Yuhan, Wang, Jianzhou, Hu, Zhenxing, Chen, Xiuying, Yan, Rui
Format:	Preprint
Published:	2024
Subjects:	Social and Information Networks
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A Large-scale Time-aware Agents Simulation for Influencer Selection in Digital Advertising Campaigns
by: Zhang, Xiaoqing, et al.
Published: (2024)

The Truth Becomes Clearer Through Debate! Multi-Agent Systems with Large Language Models Unmask Fake News
by: Liu, Yuhan, et al.
Published: (2025)

The Stepwise Deception: Simulating the Evolution from True News to Fake News with LLM Agents
by: Liu, Yuhan, et al.
Published: (2024)

From Skepticism to Acceptance: Simulating the Attitude Dynamics Toward Fake News
by: Liu, Yuhan, et al.
Published: (2024)

Modeling Influencer Marketing Campaigns in Social Networks
by: Doshi, Ronak, et al.
Published: (2021)

Decoding Echo Chambers: LLM-Powered Simulations Revealing Polarization in Social Networks
by: Wang, Chenxi, et al.
Published: (2024)

HiGraph: A Large-Scale Hierarchical Graph Dataset for Malware Analysis
by: Chen, Han, et al.
Published: (2025)

Exploring Relationships Between Cryptocurrency News Outlets and Influencers' Twitter Activity and Market Prices
by: Alizadeh, Meysam, et al.
Published: (2024)

From Individuals to Crowds: Dual-Level Public Response Prediction in Social Media
by: Zhang, Jinghui, et al.
Published: (2025)

Medfluencer: A Network Representation of Medical Influencers' Identities and Discourse on Social Media
by: Guo, Zhijin, et al.
Published: (2024)

Identifying Stable Influencers: Distinguishing Stable and Temporal Influencers Using Long-Term Twitter Data
by: Yamada, Harutaka, et al.
Published: (2025)

Quantifying Influencer Impact on Affective Polarization
by: Rashid, Rezaur, et al.
Published: (2024)

Dominance or Fair Play in Social Networks? A Model of Influencer Popularity Dynamic
by: Galante, Franco, et al.
Published: (2025)

The Role of Social Support and Influencers in Social Media Communities
by: Su, Junwei, et al.
Published: (2024)

INFLECT-DGNN: Influencer Prediction with Dynamic Graph Neural Networks
by: Tiukhova, Elena, et al.
Published: (2023)

GraphPrompter: Multi-stage Adaptive Prompt Optimization for Graph In-Context Learning
by: Lv, Rui, et al.
Published: (2025)

Bending the Scaling Law Curve in Large-Scale Recommendation Systems
by: Ding, Qin, et al.
Published: (2026)

Online Harassment of Japanese Celebrities and Influencers
by: Takano, Masanori, et al.
Published: (2022)

Collecting Influencers: A Comparative Study of Online Network Crawlers
by: Drobyshevskiy, Mikhail, et al.
Published: (2024)

Deplatforming Norm-Violating Influencers on Social Media Reduces Overall Online Attention Toward Them
by: Ribeiro, Manoel Horta, et al.
Published: (2024)

How Influencers and Multipliers Drive Polarization and Issue Alignment on Twitter/X
by: Pournaki, Armin, et al.
Published: (2025)

Comprehensive Privacy Risk Assessment in Social Networks Using User Attributes Social Graphs and Text Analysis
by: Alam, Md Jahangir, et al.
Published: (2025)

Selecting Query-bag as Pseudo Relevance Feedback for Information-seeking Conversations
by: Zhang, Xiaoqing, et al.
Published: (2024)

A Large-scale Benchmark Dataset for Commuting Origin-destination Matrix Generation
by: Rong, Can, et al.
Published: (2024)

GeoLife+: Large-Scale Simulated Trajectory Datasets Calibrated to the GeoLife Dataset
by: Amiri, Hossein, et al.
Published: (2024)

FinRipple: Aligning Large Language Models with Financial Market for Event Ripple Effect Awareness
by: Xu, Yuanjian, et al.
Published: (2025)

Disentangled Condensation for Large-scale Graphs
by: Xiao, Zhenbang, et al.
Published: (2024)

Preserving Core Structures of Social Networks via Information Guided Multi-Step Graph Pruning
by: Hu, Yutong, et al.
Published: (2025)

A Study of Three Influencer Archetypes for the Control of Opinion Spread in Time-Varying Social Networks
by: DeBuse, Michael, et al.
Published: (2024)

A Comprehensive Data-centric Overview of Federated Graph Learning
by: Wu, Zhengyu, et al.
Published: (2025)

RSD-15K: A Large-Scale User-Level Annotated Dataset for Suicide Risk Detection on Social Media
by: Zheng, Shouwen, et al.
Published: (2025)

How Do Social Bots Participate in Misinformation Spread? A Comprehensive Dataset and Analysis
by: Wan, Herun, et al.
Published: (2024)

Reducing Detail Hallucinations in Long-Context Regulatory Understanding via Targeted Preference Optimization
by: Liu, Yang, et al.
Published: (2026)

Maintaining Leiden Communities in Large Dynamic Graphs
by: Lin, Chunxu, et al.
Published: (2026)

Social Network Datasets on Reddit Financial Discussion
by: Wang, Zezhong, et al.
Published: (2024)

EX-Graph: A Pioneering Dataset Bridging Ethereum and X
by: Wang, Qian, et al.
Published: (2023)

HDBMS: A Context-Aware Hybrid Graph Traversal Algorithm for Efficient Information Discovery in Social Networks
by: Ahmed, Rowanda, et al.
Published: (2025)

GRAPHIA: Harnessing Social Graph Data to Enhance LLM-Based Social Simulation
by: Ji, Jiarui, et al.
Published: (2025)

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

Graph self-supervised learning based on frequency corruption
by: Li, Haojie, et al.
Published: (2026)