  Tax manipulation comes in a variety of forms with different motivations and
of varying complexities. In this paper, we deal with a specific technique used
by tax-evaders known as circular trading. In particular, we define algorithms
for the detection and analysis of circular trade. To achieve this, we have
modelled the whole system as a directed graph with the actors being vertices
and the transactions among them as directed edges. We illustrate the results
obtained after running the proposed algorithm on the commercial tax dataset of
the government of Telangana, India, which contains the transaction details of a
set of participants involved in a known circular trade.
