This National Science Foundation (NSF) Mathematical and Physical Sciences (CFDA 47.049) Project Grant, awarded to Loyola Marymount University, aims to develop interpretable network-based similarity metrics and solvers for dynamic social networks and multi-layer knowledge graphs. The $250,000 project, spanning September 2024 to August 2026, will apply these computational methods to large-scale knowledge graphs covering topics like COVID-19, QAnon, and hate speech. The research seeks to uncover topic correlations, monitor cluster evolution, and provide insights for societal discourse, awareness, and policy-making. No sub-awards are planned under this grant.
Generated 3/25/25, 1:50 AM