# install.packages("remotes")
::install_github("schochastics/netUtils") remotes
netUtils
Network utility functions
8/2/19
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
most functions only support igraph objects
helper/convenience functions
biggest_component()
extracts the biggest connected component of a network.
delete_isolates()
deletes vertices with degree zero.
bipartite_from_data_frame()
creates a two mode network from a data frame.
graph_from_multi_edgelist()
creates multiple graphs from a typed edgelist.
clique_vertex_mat()
computes the clique vertex matrix.
graph_cartesian()
computes the Cartesian product of two graphs.
graph_direct()
computes the direct (or tensor) product of graphs.
str()
extends str to work with igraph objects.
methods
triad_census_attr()
calculates triad census with vertex attributes.
core_periphery()
fits a discrete core periphery model.
graph_kpartite()
creates a random k-partite network.
sample_coreseq()
creates a random graph with given coreness sequence.
sample_pa_homophilic()
creates a preferential attachment graph with two groups of nodes.
structural_equivalence()
finds structurally equivalent vertices.
fast_clique()
computes cliques with MACE (faster than igraph for dense graphs).
methods to use with caution
(this functions should only be used if you know what you are doing)
as_adj_list1()
extracts the adjacency list faster, but less stable, from igraph objects.
as_adj_weighted()
extracts the dense weighted adjacency matrix fast.