We consider the problem of estimating a network's eigenvector centrality only from data on the nodes, with no information about network topology. Leveraging the versatility of graph filters to model ...

A fast eigenvector technique for obtaining good initial node partitions of netlists for use in interchange heuristics is described. The method is based on approximating the netlist or hypergraph by a ...

In this paper, we show that the leading eigenvector of the A matrix can capture the strongest sinks in a network without computing a heuristic on its rows and columns. Instead, we use the leading ...

Also, computing the inverse fourth root from the quantized eigenvector matrix is straightforward, ensuring no increase in wall-clock time. Two techniques are proposed to enhance performance: Björck ...

A PHP library to do calculates Eigenvector Centrality of a undirected graph. Eigenvector Centrality is one of the Social Network Analysis algorithms ...