Likelihood-based anomaly detection in preferential attachment networks

This document is an arXiv computer-science and social-informatics feed containing research papers on network anomaly detection, social-media classification and monitoring, public geospatial data collection, media analysis, infrastructure restoration, ride-hailing optimization, trade coercion, and content moderation. Several papers have potential security, privacy, or trust-and-safety relevance, particularly SnapScope’s large-scale scraping of public geotagged Snapchat content and ML systems for identifying malicious users or detecting deaths. The material describes research and platforms, not-