MUMBAI, India, May 1 -- Intellectual Property India has published a patent application (202641048258 A) filed by Srm University, Guntur, Andhra Pradesh, on April 15, for 'a local structural framework for detecting influential nodes in complex networks.'
Inventor(s) include Tejaswi, Anupoju; and Enduri, Murali Krishna.
The application for the patent was published on May 1, under issue no. 18/2026.
According to the abstract released by the Intellectual Property India: "The disclosure relates to a system (100) and method (200) for identifying influential nodes in complex networks and hypergraphs. The hypergraph input module (110) receives network data comprising nodes and hyperedges, which is stored in the data storage (310). The neighbourhood construction module (120) generates level-based local subgraphs for each node, and the degree computation module (130) calculates node connectivity metrics. The local relative average shortest path computation module (140) evaluates the impact of node removal on local connectivity, while the similarity computation module (150) determines relational similarity between nodes, optionally using resource allocation and threshold-based measures. The centrality aggregation module (160), along with modules (170) and (180), generates local centrality scores, and the ranking module(190) orders nodes based on these scores. The processor (300) executes the modules, enabling scalable and modular operation for large networks across social, biological, communication, or collaborative systems, thereby facilitating efficient decision-making and network optimisation."
Disclaimer: Curated by HT Syndication.
