71 citations · 123 across the 4 of their papers we have counts for
6 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…
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…
Nonlinearity in stock networks
David Hartman, Jaroslav Hlinka
Stock networks, constructed from stock price time series, are a well-established tool for the characterization of complex behavior in stock markets. Following Mantegna's seminal pa…
Non-linear dependence and teleconnections in climate data: sources, relevance, nonstationarity
Jaroslav Hlinka, David Hartman, Martin Vejmelka +2
Quantification of relations between measured variables of interest by statistical measures of dependence is a common step in analysis of climate data. The term "connectivity" is us…
Small-world topology of functional connectivity in randomly connected dynamical systems
Jaroslav Hlinka, David Hartman, Milan Paluš
Characterization of real-world complex systems increasingly involves the study of their topological structure using graph theory. Among global network properties, small-world prope…