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A method for computing likelihood of clustering for network with incomplete information
RPI ID: 2021-048-201Innovation Summary:This invention introduces a system for generating synthetic networks that replicate the structural properties of real-world covert or anonymized networks. It uses anonymized input data—such as node lists, edge lists, and group affiliations—to estimate the probability of connections between nodes. These probabilities...
Published: 7/21/2025
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Updated: 7/3/2025
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Inventor(s): Amr Elsisy, Aamir Mandviwalla, Boleslaw Szymanski
Keywords(s): incomplete information, Likelihood of Clustering, network clustering
Category(s): Computational Science and Engineering
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