  The number of users approaching the world of cryptocurrencies exploded in the
last years, and consequently the daily interactions on their underlying
distributed ledgers have intensified. In this paper, we analyze the flow of
these digital transactions in a certain period of time, trying to discover
important insights on the typical use of these technologies by studying,
through complex network theory, the patterns of interactions in four prominent
and different Distributed Ledger Technologies (DLTs), namely Bitcoin, DogeCoin,
Ethereum, Ripple. In particular, we describe the Distributed Ledger Network
Analyzer (DiLeNA), a software tool for the investigation of the transactions
network recorded in DLTs. We show that studying the network characteristics and
peculiarities is of paramount importance, in order to understand how users
interact in the DLT. For instance, our analyses reveal that all transaction
graphs exhibit small world properties.
