# install.packages("remotes")
::install_github("schochastics/netUtils") remotes
netUtils
Network utility functions
2019-08-02
netUtils is a collection of tools for network analysis that may not deserve a package on their own and/or are missing from other network packages.
Installation
You can install the development version of netUtils with:
Functions
(The functions listed below are just a sample of the available methods)
most functions only support igraph objects
helper/convenience functions
biggest_component()
extract the biggest connected component of a network.
delete_isolates()
delete vertices with degree zero.
bipartite_from_data_frame()
create a two mode network from a data frame.
clique_vertex_mat()
compute the clique vertex matrix
graph_cartesian()
computes the Cartesian product of two graphs
graph_direct()
computes the direct (or tensor) product of graphs
methods
graph_kpartite()
create a random k-partite network.
triad_census_attr()
calculate triad census with vertex attributes.
structural_equivalence()
finds structurally equivalent vertices.
core_periphery()
to fit a discrete core periphery model.
sample_coreseq()
creates a random graph with given coreness sequence.
fast_clique()
to calculate cliques with MACE (sometimes faster than igraph)
sample_pa_homophilic()
to create a preferential attachment graph with two groups of nodes