MUMBAI, India, Jan. 9 -- Intellectual Property India has published a patent application (202511114220 A) filed by Aditya Dayal Tyagi; Dev Kumar; Amrit Raj; Anjali Kumari; and Shubhankit Sudhakar, Greater Noida, Uttar Pradesh, on Nov. 20, 2025, for 'influence maximization in online social networks.'
Inventor(s) include Aditya Dayal Tyagi; Dev Kumar; Amrit Raj; Anjali Kumari; and Shubhankit Sudhakar.
The application for the patent was published on Jan. 9, under issue no. 02/2026.
According to the abstract released by the Intellectual Property India: "The present invention relates to an advanced influence maximization system and method for optimizing information dissemination in online social networks through intelligent seed node selection and dynamic propagation modeling. The system employs a hybrid computational framework integrating community detection algorithms, temporal network analysis, and machine learning-based influence prediction models to identify optimal seed users for maximizing information cascade effects. The invention addresses limitations of conventional greedy algorithms by incorporating real-time network dynamics, user engagement patterns, and contextual content relevance factors. The system utilizes a novel scoring mechanism that evaluates nodes based on structural centrality measures, historical propagation success rates, and predicted receptivity of connected users. Implementation results demonstrate superior performance compared to traditional independent cascade and linear threshold models, achieving up to forty-two percent improvement in information reach while reducing computational complexity through parallel processing architectures and adaptive pruning strategies for large-scale network applications."
Disclaimer: Curated by HT Syndication.
