Sender--Receiver Community Detection in Directed Networks via Node-Role-Constrained Edge Clustering

This collection of recent arXiv papers focuses on graph and ML methods with several security-relevant implications: (1) TT-SR and other graph/community methods (sender–receiver edge clustering, biharmonic-distance minimization, betweenness-under-uncertainty, genealogical network analysis) improve ability to model, summarize, and rewire directed and large networks — capabilities useful for both defensive network analysis and offensive tasks like targeted influence or link recommendation. (2) SP-GCRL and influence‑maximization work address seed selection under partial/uncertain graphs and non‑st