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Source Identification of Network Diffusion Processes with Partial Observations

Chaoyi Shi  Qi Zhang  Tianguang Chu  
【摘要】:In this paper,we study the problem of identifying the source of network diffusion processes by using the contact networks and sampled infections.The dynamic processes are described by the susceptible-infected(SI) model and a maximum likelihood(ML) estimator is formulated for identification of the source.We propose a two-stage method that first locates a set of suspected source nodes and then identifies the infection source from the candidate source nodes by using Markov random field method.Experiments on regular tree and real-world networks verify the effectiveness of our approach.

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