Apart from many project design decisions that have to be made when incorporating blockchain as a trusted transactions register, it is also essential to gain a deeper understanding of the ecosystem when it already entered operational state. By looking at the way how nodes perform transactions, how they cluster, or what is the dynamics of the network, many valuable insights can be derived about the condition of the whole system. This leads to improving functionality, performance, scalability, and security. We propose a way of looking at the network of transactions as at a complex network and demonstrate that the methods and algorithms provided by network science can significantly increase our knowledge about the blockchain ecosystem. In this work, we introduce an open-source platform called Dru that is linked to this concept and simplifies performing analyses by providing a built-in storage of transactions and an API for research. We believe that the insights presented in this work will be helpful for studying blockchain-based systems. As a result, those systems supporting variety of processes will be able to move from reactive to proactive thinking and improve their functionality, availability and security.