The correlation of metrics in complex networks with applications in functional brain networks

An increasing number of network metrics have been applied in network analysis. If metric relations were known better, we could more effectively characterize networks by a small set of metrics to discover the association between network properties/metrics and network functioning. In this paper, we investigate the linear correlation coefficients...

Een 1D netwerk morfodynamisch model voor het Noordelijk Deltabekken: Opzet van het model

Theoretical analysis on nodal point relations in 1D network morphodynamic models

Degree and Principal Eigenvectors in Complex Networks

The largest eigenvalue ? 1 of the adjacency matrix powerfully characterizes dynamic processes on networks, such as virus spread and synchronization. The minimization of the spectral radius by removing a set of links (or nodes) has been shown to be an NP-complete problem. So far, the best heuristic strategy is to remove links/nodes based on the...