Research

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.

Publications:

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)