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Found 2 papers, 2 papers with code
DANI: Fast Diffusion Aware Network Inference with Preserving Topological Structure Property
In this paper, we propose a novel method called DANI to infer the underlying network while preserving its structural properties.
Joint Inference of Diffusion and Structure in Partially Observed Social Networks Using Coupled Matrix Factorization
Therefore, the problem of missing data is a crucial and unavoidable issue in the analysis and modeling of real-world social networks.
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