knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>",
  fig.path = "man/figures/README-",
  out.width = "88%"
)

NetworkDistance

CRAN status

NetworkDistance package is a collection of inter-graph distance measures. Instead of graph distance that measures the degree of farness between nodes within a graph, we consider each network as an object and compute distance between those objects.

Installation

You can install the released version of NetworkDistance from CRAN with:

install.packages("NetworkDistance")

or the development version from github:

## install.packages("devtools")
## library(devtools)
devtools::install_github("kisungyou/NetworkDistance")

Currently Available Methods

We support following methds at this stage and the collection will be expanded continuously.

|Function | Reference | Description | |---------------|:--------------------------:|-------------------------------------------------| |nd.centrality| Roy et al. (2014) | Distance by Network Centrality Measures | |nd.csd | Ipsen and Mikhailov (2002) | $L_2$ Distance of Continuous Spectral Densities | |nd.dsd | Wilson and Zhu (2008) | Discrete Spectral Distance | |nd.edd | | Edge Difference Distance | |nd.extremal | Jakobson and Rivin (2002) | Extremal Distance with Top-$k$ Eigenvalues | |nd.gdd | Hammond et al. (2013) | Graph Diffusion Distance | |nd.graphon | Mukherjee et al. (2017) | Graphon Estimates Distance | |nd.hamming | Hamming (1950) | Hamming Distance | |nd.him | Jurman et al. (2015) | Hamming-Ipsen-Mikhailov (HIM) Distance | |nd.moments | Mukherjee et al. (2017) | Log Moments Distanec | |nd.nfd | Bao et al. (2018) | Network Flow Distance | |nd.wsd | Fay et al. (2010) | Distance with Weighted Spectral Distribution |



kisungyou/NetworkDistance documentation built on Aug. 23, 2023, 8:53 p.m.