Santos, AugustoMatta, VincenzoSayed, Ali H.2018-12-132018-12-132018-12-132018-01-0110.1109/ISIT.2018.8437631https://infoscience.epfl.ch/handle/20.500.14299/151940WOS:000448139300369This work considers a diffusion network responding to streaming data, and studies the problem of identifying the topology of a subnetwork of observable agents by tracking their output measurements. Topology inference from indirect and/or incomplete datasets (network tomography) is in general an ill-posed problem. Under an appropriate Erdos-Renyi random graph model for the unobserved part, the problem of network tomography is well-posed in the thermodynamic limit: when the number of network agents grows to infinity, any arbitrary subnetwork topology associated with the observed agents can be recovered with high probability.Computer Science, Information SystemsEngineering, Electrical & ElectronicComputer ScienceEngineeringtext::conference output::conference proceedings::conference paper