4 citations · 4 across the 4 of their papers we have counts for
5 papers
Graphlets as structural fingerprints of complex networks
Anna Pidnebesna, David Hartman, Aneta Pokorna +2
Complex networks are often compared using selected graph-theoretical measures that capture a selected set of properties with effects ranging from local to global, such as degree, c…
Local iterative algorithms for approximate symmetry guided by network centralities
David Hartman, Jaroslav Hlinka, Anna Pidnebesna +1
Recently, the influence of potentially present symmetries has begun to be studied in complex networks. A typical way of studying symmetries is via the automorphism group of the cor…
Integral Betti signature confirms the hyperbolic geometry of brain, climate, and financial networks
Luigi Caputi, Anna Pidnebesna, Jaroslav Hlinka
This paper extends the possibility to examine the underlying curvature of data through the lens of topology by using the Betti curves, tools of Persistent Homology, as key topologi…
Computing approximate symmetries of complex networks
Anna Pidnebesna, David Hartman, Aneta Pokorná +2
The symmetry of complex networks is a global property that has recently gained attention since MacArthur et al. 2008 showed that many real-world networks contain a considerable num…
Mixture Components Inference for Sparse Regression: Introduction and Application for Estimation of Neuronal Signal from fMRI BOLD
Anna Pidnebesna, Iveta Fajnerova, Jiri Horacek +1
Sparse linear regression methods including the well-known LASSO and the Dantzig selector have become ubiquitous in the engineering practice, including in medical imaging. Among oth…