  The identifiability analysis of a networked Markov chain model known as the
influence model, as described in a recent contribution to Arxiv, is examined.
Two errors in the identifiability analysis -- one related to the
unidentifiability of the partially-observed influence model, the second related
to an omission of an additional recurrence criterion for identifiability -- are
noted. In addition, some concerns about the formulation of the identifiability
problem and the proposed estimation approach are noted.
