Ongoing research work:

Bitcoin blockchain analysis platform

Since 2018 we actively work on developing a platform for facilitating network science research on blockchain-based complex networks. In 2019 we released it to the general public as a open source project. More details on it can be found on a Dru’s project website.

Machine learning applications for blockchain-based complex networks

In terms of research we are interested on how to derive new knowledge from blockchain-based networks by the applications of machine learning techniques.

Consensus in distributed ledgers

We are also interested in studying on how to reach consensus in distibuted ledgers.


Michalski, R., Dziubałtowska, D., Macek, P.: Revealing the Character of Nodes in a Blockchain with Supervised Learning. IEEE Access, Vol. 8, pp. 109639-109647 (2020)

Michalski, R., Pieczka, M.: Dru: Studying Blockchain as a Complex Network. ASONAM 2020, The 2020 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining. IEEE Computer Society, pp. 929-932 (2020)

Michalski, R.: Analysing and Predicting the Adoption of Anonymous Transactions in Cryptocurrencies. BIS 2020, 23rd International Conference on Business Information Systems, Lecture Notes in Business Information Processing, vol. 394, pp. 132-144, Springer, Cham (2020)