Transition State Theory for Network Dynamics

This RSS batch aggregates recent CS/social-informatics arXiv papers (Mar 10, 2026) covering dynamic network theory, graph learning, fairness/causal inference, misinformation, platform polarization, and applied mobility/POI recommendation. Key items: a transition-state theory for structural network change; a formal study of the "bus-factor" (project risk) with NP-hardness results and approximations; DS-DGA-GCN, a dynamic graph attention + GCN model for detecting organized fake reviewer groups (claimed accuracies ≈89%); a formal "causal masking" attack that preserves zero ATE while enabling uneq