  For reliable and consistent quantum information processing carried out on a
quantum network, the network structure must be fully known and a desired
initial state must be accurately prepared on it. In this paper, for a class of
spin networks with its single node only accessible, we provide two
continuous-measurement-based methods to achieve the above requirements; the
first one identifies the unknown network structure with high probability, based
on continuous-time Bayesian update of the graph structure; the second one is,
with the use of adaptive measurement technique, able to deterministically drive
any mixed state to a spin coherent state for network initialization.
