Package: netkit 0.1.2

netkit: Network Topology, Diffusion and Robustness Analysis

Tools for analyzing and visualizing networks, built on 'igraph' and returning 'ggplot2' objects rather than drawing them, so that diagnostics can be composed and customized. Summarizes global topology and per-node centrality, identifies hubs, bottlenecks and community structure, and classifies nodes into connectivity roles following Guimera and Amaral (2005) <doi:10.1038/nature03288>. Extracts interpretable subnetworks around a set of nodes, including approximate Steiner trees after Kou, Markowsky and Berman (1981) <doi:10.1007/BF00288961>. Propagates influence from seed nodes using Laplacian smoothing, heat-kernel and random-walk-with-restart diffusion, with degree-matched permutation nulls, and simulates network robustness under progressive node removal. Observed metrics, including the small-world coefficient, can be tested against degree-preserving random ensembles for statistical significance. Edge weights are supported throughout, with an explicit declaration of whether a weight means strength or distance. Matrix operations use sparse representations throughout so that the methods remain usable on large graphs.

Authors:Alex Gallinat [aut, cre]