53 citations · 311 across the 19 of their papers we have counts for
19 papers
Network evolution towards optimal dynamical performance
Steffen Karalus, Markus Porto
Understanding the mutual interdependence between the behavior of dynamical processes on networks and the underlying topologies promises new insight for a large class of empirical n…
Stochastic reconstruction of protein structures from effective connectivity profiles
Katrin Wolff, Michele Vendruscolo, Markus Porto
We discuss a stochastic approach for reconstructing the native structures of proteins from the knowledge of the "effective connectivity", which is a one-dimensional structural prof…
Fractional derivatives of random walks: Time series with long-time memory
H. Eduardo Roman, Markus Porto
We review statistical properties of models generated by the application of a (positive and negative order) fractional derivative operator to a standard random walk and show that th…
Generating random networks with given degree-degree correlations and degree-dependent clustering
Andreas Pusch, Sebastian Weber, Markus Porto
Random networks are widely used to model complex networks and research their properties. In order to get a good approximation of complex networks encountered in various disciplines…
Generation of arbitrarily two-point correlated random networks
Sebastian Weber, Markus Porto
Random networks are intensively used as null models to investigate properties of complex networks. We describe an efficient and accurate algorithm to generate arbitrarily two-point…
Multicomponent reaction-diffusion processes on complex networks
Sebastian Weber, Markus Porto
We study the reaction-diffusion process on uncorrelated scale-free networks analytically. By a mean-field ansatz we derive analytical expressions for the part…