SAHG: Sector-Anisotropic Hyperbolic Graph Model for Social Bot Detection
LLM-driven social bots can generate fluent, human-like text, reducing the discriminative advantage of content-based detection alone. However, coordinated campaigns still leave relational patterns -- interactions, behavioral similarity, shared neighborhoods, community positions, and coordinated activity -- that graph-based methods can exploit. Existing graph detectors face two challenges when exploiting such evidence. First, Euclidean GNNs distort hierarchical and scale-free social graphs; while hyperbolic geometry addresses this volume-growth mismatch, fixed-curvature models still assign uniform geometric resolution to structural directions with different densities and separation needs. S...
| Authors | Hanning Lu, Yingguang Yang, Jinwei Su et al. |
|---|---|
| Primary category | cs.SI |
| Published | 28 May 2026 |
| Last updated at source | 2 June 2026 |
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