MUMBAI, India, Aug. 17 -- Intellectual Property India has published a patent application (202621078760 A) filed by Gaurav on June 26, 2026, for A System And Method For Dynamic Institutional Influence Propagation Intelligence Using Node- Edge Dependency Mapping, Cascade Risk Scoring, Bridge-Node Detection, Shock Simulation, And Node-Specific Containment Routing.
Inventors include Anuja Rajesh Jadhav; and Gaurav.
The application for the patent was published on August 14, 2026, under issue no. 33/2026.
Abstract: The present invention relates to an artificial intelligence based institutional influence propagation intelligence system and method for identifying how risk, delay, misinformation, dependency failure, stakeholder pressure, or institutional instability propagates across connected entities. The system receives institution-node data and influence-edge data representing departments, vendors, regulators, financial units, public communication channels, community groups, service units, and other connected institutional actors. The system constructs a directed dependency graph, calculates node exposure, edge influence intensity, bridge-node importance, incoming and outgoing propagation pressure, cascade risk score, and containment priority. The system further performs shock simulation to estimate downstream risk movement when a selected node becomes unstable and generates node-specific containment actions such as vendor isolation, regulatory checkpointing, public communication control, financial reconciliation, dependency rerouting, or community clarification. The invention enables explainable and preventive management of institutional influence cascades before operational, reputational, financial, or governance disruption spreads across the network.
Disclaimer: Curated by HT Syndication.
