Social Graph Inference Reddit

we construct a large-scale, empirically grounded dataset from Reddit to support the development and evaluation of agent-based social simulations. The dataset includes 33, technology-focused, 14 climate-focused, and 7 COVID-related agents, each domain encompassing over (one million posts and comments ). Using publicly available posts and comments, we define agent categories based on content and interaction patterns, derive inter-agent relationships from temporal commenting behaviors, and build a directed, weighted network that reflects empirically observed user connections. The resulting dataset enables researchers to calibrate and benchmark agent behavior, network structure, and information diffusion processes against real social dynamics. Quantitative and qualitative analysis reveal distinctive patterns in user connectivity, engagement life cycles, and triadic closure growth, illustrating the potential of Reddit-derived interaction networks for realistic social simulation.本研究从Reddit平台构建了大规模且基于实证的数据集，用于支撑基于智能体（Agent）的社会模拟模型的开发与评估。本数据集包含33个科技聚焦型、14个气候聚焦型以及7个涉新冠疫情型智能体，各领域均涵盖超百万条帖子与评论。研究依托公开可得的帖子与评论数据，基于内容与互动模式定义智能体分类，从时序评论行为中推导出智能体间的关联关系，并构建出能够反映实证观测到的用户连接关系的有向加权网络。该数据集可支持研究人员基于真实社会动态，对智能体行为、网络结构与信息扩散过程开展校准与基准测试工作。定量与定性分析揭示了用户连接、参与生命周期以及三元闭包增长的独特模式，彰显了基于Reddit的互动网络在构建真实社会模拟中的应用潜力。