The Blockchain technology garners an ever increasing interest of researchers in various domains that benefit from scalable cooperation among trust-less parties. Some of these fields, such as graph analytics, have started analyzing Blockchain by using existing tools and algorithms, and also have offered new approaches that are tailored for Blockchain data. As Blockchain data analytics proliferates, a need to glean successful approaches and to disseminate them among the diverse data sciences community became more important.
Communities in the Ethereum Storj token
Blockchain Data Analytics
Publications
Cuneyt Gurcan Akcora, Asim K. Dey, Yulia Gel, Murat Kantarcioglu.
Forecasting Bitcoin Price with Graph Chainlets.
In PaKDD,
2018.
Cuneyt Gurcan Akcora, Yulia Gel, Murat Kantarcioglu.
Blockchain: A Graph Primer.
Tutorial on Arxiv.org,
2017.