no code implementations • 19 Sep 2018 • Nino Antulov-Fantulin, Dijana Tolic, Matija Piskorec, Zhang Ce, Irena Vodenska
In this paper, we study the possibility of inferring early warning indicators (EWIs) for periods of extreme bitcoin price volatility using features obtained from Bitcoin daily transaction graphs.
no code implementations • 10 Oct 2017 • Xiao-Long Ren, Niels Gleinig, Dijana Tolic, Nino Antulov-Fantulin
Finally, for the case when it is possible to attack links, we propose a simple and efficient edge removal strategy named Hierarchical Power Iterative Normalized cut (HPI-Ncut). The results on real and artificial networks show that the HPI-Ncut algorithm outperforms all the node removal and link removal attack algorithms when the cost of the attack is taken into consideration.
1 code implementation • 29 Sep 2017 • Dijana Tolic, Nino Antulov-Fantulin, Ivica Kopriva
A recent theoretical analysis shows the equivalence between non-negative matrix factorization (NMF) and spectral clustering based approach to subspace clustering.