Analysis of Diffusion and Contagion Processes on Networks

Documentation for package ‘netdiffuseR’ version 1.22.6

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A B C D E F G H I K L M N O P Q R S T U V W misc

netdiffuseR

-- A --

adjmat_to_edgelist	Conversion between adjacency matrix and edgelist
adopt_changes	Calculate the number of adoption changes between ego and alter.
approx_geodesic	Approximate Geodesic Distances
approx_geodist	Approximate Geodesic Distances
as.array.diffnet	Coerce a diffnet graph into an array
as.data.frame.diffnet	Creates a 'diffnet' class object
as.data.frame.diffnet_adopters	Classify adopters accordingly to Time of Adoption and Threshold levels.
as.dgCMatrix	Coerce a matrix-like objects to 'dgCMatrix' (sparse matrix)
as_dgCMatrix	Coerce a matrix-like objects to 'dgCMatrix' (sparse matrix)
as_dgCMatrix.array	Coerce a matrix-like objects to 'dgCMatrix' (sparse matrix)
as_dgCMatrix.default	Coerce a matrix-like objects to 'dgCMatrix' (sparse matrix)
as_dgCMatrix.diffnet	Coerce a matrix-like objects to 'dgCMatrix' (sparse matrix)
as_dgCMatrix.igraph	Coerce a matrix-like objects to 'dgCMatrix' (sparse matrix)
as_dgCMatrix.list	Coerce a matrix-like objects to 'dgCMatrix' (sparse matrix)
as_dgCMatrix.network	Coerce a matrix-like objects to 'dgCMatrix' (sparse matrix)
as_diffnet	Creates a 'diffnet' class object
as_diffnet.default	Creates a 'diffnet' class object
as_diffnet.networkDynamic	Creates a 'diffnet' class object
as_spmat	Coerce a matrix-like objects to 'dgCMatrix' (sparse matrix)

-- B --

bass	Bass Model
bass_dF	Bass Model
bass_F	Bass Model
bass_f	Bass Model
bernoulli	Erdos-Renyi model
binary-functions	Non-zero element-wise comparison between two sparse matrices
bootnet	Network Bootstrapping
brfarmers	Brazilian Farmers
brfarmersDiffNet	'diffnet' version of the Brazilian Farmers data

-- C --

c.diffnet	Combine diffnet objects
c.diffnet_bootnet	Network Bootstrapping
c.diffnet_struct_test	Structure dependence test
classify	Classify adopters accordingly to Time of Adoption and Threshold levels.
classify_adopters	Classify adopters accordingly to Time of Adoption and Threshold levels.
classify_adopters.default	Classify adopters accordingly to Time of Adoption and Threshold levels.
classify_adopters.diffnet	Classify adopters accordingly to Time of Adoption and Threshold levels.
classify_graph	Analyze an R object to identify the class of graph (if any)
compare_matrix	Non-zero element-wise comparison between two sparse matrices
CUG	Permute the values of a matrix
cumulative_adopt_count	Cummulative count of adopters

-- D --

degree	Indegree, outdegree and degree of the vertices
dgr	Indegree, outdegree and degree of the vertices
diag_expand	Creates a square matrix suitable for spatial statistics models.
diag_expand.array	Creates a square matrix suitable for spatial statistics models.
diag_expand.dgCMatrix	Creates a square matrix suitable for spatial statistics models.
diag_expand.diffnet	Creates a square matrix suitable for spatial statistics models.
diag_expand.list	Creates a square matrix suitable for spatial statistics models.
diag_expand.matrix	Creates a square matrix suitable for spatial statistics models.
diffmap	Creates a heatmap based on a graph layout and a vertex attribute
diffnet	Creates a 'diffnet' class object
diffnet-arithmetic	'diffnet' Arithmetic and Logical Operators
diffnet-class	Creates a 'diffnet' class object
diffnet.attrs	Creates a 'diffnet' class object
diffnet.attrs<-	Creates a 'diffnet' class object
diffnet.toa	Creates a 'diffnet' class object
diffnet.toa<-	Creates a 'diffnet' class object
diffnetLapply	Creates a 'diffnet' class object
diffnet_check_attr_class	Infer whether 'value' is dynamic or static.
diffnet_index	Indexing diffnet objects (on development)
diffnet_to_igraph	Coercion between graph classes
diffnet_to_network	Coercion between 'diffnet', 'network' and 'networkDynamic'
diffnet_to_networkDynamic	Coercion between 'diffnet', 'network' and 'networkDynamic'
diffreg	Diffusion regression model
diffusion-data	Diffusion Network Datasets
diffusionMap	Creates a heatmap based on a graph layout and a vertex attribute
diffusionMap.default	Creates a heatmap based on a graph layout and a vertex attribute
diffusionMap.diffnet	Creates a heatmap based on a graph layout and a vertex attribute
dim.diffnet	Creates a 'diffnet' class object
dimnames.diffnet	Creates a 'diffnet' class object
drawColorKey	Draw a color key in the current device
drop_isolated	Find and remove isolated vertices

-- E --

edgelist_to_adjmat	Conversion between adjacency matrix and edgelist
edgelist_to_diffnet	Convert survey-like data and edgelists to a 'diffnet' object
edges_coords	Compute ego/alter edge coordinates considering alter's size and aspect ratio
egonet_attrs	Retrieve alter's attributes (network effects)
ego_variance	Computes variance of Y at ego level
exposure	Ego exposure

-- F --

fakeDynEdgelist	Fake dynamic edgelist
fakeEdgelist	Fake static edgelist
fakesurvey	Fake survey data
fakesurveyDyn	Fake longitudinal survey data
fitbass	Bass Model
fitbass.default	Bass Model
fitbass.diffnet	Bass Model
ftable.diffnet_adopters	Classify adopters accordingly to Time of Adoption and Threshold levels.

-- G --

Geodesic	Approximate Geodesic Distances
graph_power	'diffnet' Arithmetic and Logical Operators
grid_distribution	Distribution over a grid

-- H --

hazard_rate	Network Hazard Rate
hist.diffnet_bootnet	Network Bootstrapping
hist.diffnet_struct_test	Structure dependence test

-- I --

igraph	Coercion between graph classes
igraph_to_diffnet	Coercion between graph classes
igraph_vertex_rescale	Rescale vertex size to be used in 'plot.igraph'.
image.diffnet_diffmap	Creates a heatmap based on a graph layout and a vertex attribute
indegree	Indegree, outdegree and degree of the vertices
infection	Susceptibility and Infection
isolated	Find and remove isolated vertices
is_multiple	Creates a 'diffnet' class object
is_multiple.default	Creates a 'diffnet' class object
is_multiple.diffnet	Creates a 'diffnet' class object
is_self	Creates a 'diffnet' class object
is_self.default	Creates a 'diffnet' class object
is_self.diffnet	Creates a 'diffnet' class object
is_undirected	Creates a 'diffnet' class object
is_undirected.default	Creates a 'diffnet' class object
is_undirected.diffnet	Creates a 'diffnet' class object
is_valued	Creates a 'diffnet' class object
is_valued.default	Creates a 'diffnet' class object
is_valued.diffnet	Creates a 'diffnet' class object

-- K --

kfamily	Korean Family Planning
kfamilyDiffNet	'diffnet' version of the Korean Family Planning data

-- L --

leader_matching

Optimal Leader/Mentor Matching

-- M --

mahalanobis	Computes covariate distance between connected vertices
matrix_compare	Non-zero element-wise comparison between two sparse matrices
medInnovations	Medical Innovation
medInnovationsDiffNet	'diffnet' version of the Medical Innovation data
mentor_matching	Optimal Leader/Mentor Matching
minkowski	Computes covariate distance between connected vertices
moran	Computes Moran's I correlation index

-- N --

nedges	Count the number of vertices/edges/slices in a graph
netdiffuseR	netdiffuseR
netdiffuseR-graphs	Network data formats
netdiffuseR-options	'netdiffuseR' default options
netmatch	Matching Estimators with Network Data
netmatch_prepare	Matching Estimators with Network Data
network	Coercion between 'diffnet', 'network' and 'networkDynamic'
networkDynamic	Coercion between 'diffnet', 'network' and 'networkDynamic'
networkDynamic_to_diffnet	Coercion between 'diffnet', 'network' and 'networkDynamic'
network_to_diffnet	Coercion between 'diffnet', 'network' and 'networkDynamic'
new_diffnet	Creates a 'diffnet' class object
nlinks	Count the number of vertices/edges/slices in a graph
nnodes	Count the number of vertices/edges/slices in a graph
nodes	Creates a 'diffnet' class object
nslices	Count the number of vertices/edges/slices in a graph
nvertices	Count the number of vertices/edges/slices in a graph
n_rewires	Structure dependence test

-- O --

outdegree

Indegree, outdegree and degree of the vertices

-- P --

p-norm	Computes covariate distance between connected vertices
permute_graph	Permute the values of a matrix
plot.diffnet	S3 plotting method for diffnet objects.
plot.diffnet_adopters	Classify adopters accordingly to Time of Adoption and Threshold levels.
plot.diffnet_bass	Bass Model
plot.diffnet_bootnet	Network Bootstrapping
plot.diffnet_degSeq	Indegree, outdegree and degree of the vertices
plot.diffnet_diffmap	Creates a heatmap based on a graph layout and a vertex attribute
plot.diffnet_hr	Network Hazard Rate
plot.diffnet_mentor	Optimal Leader/Mentor Matching
plot_adopters	Visualize adopters and cumulative adopters
plot_diffnet	Plot the diffusion process
plot_diffnet.default	Plot the diffusion process
plot_diffnet.diffnet	Plot the diffusion process
plot_diffnet2	Another way of visualizing diffusion
plot_diffnet2.default	Another way of visualizing diffusion
plot_diffnet2.diffnet	Another way of visualizing diffusion
plot_hazard	Network Hazard Rate
plot_hazarrate	Network Hazard Rate
plot_infectsuscep	Plot distribution of infect/suscep
plot_threshold	Threshold levels through time
plot_threshold.array	Threshold levels through time
plot_threshold.default	Threshold levels through time
plot_threshold.diffnet	Threshold levels through time
pretty_within	Pretty numbers within a range.
print.diffnet	Creates a 'diffnet' class object
print.diffnet_bootnet	Network Bootstrapping
print.diffnet_diffmap	Creates a heatmap based on a graph layout and a vertex attribute
print.diffnet_se	Structural Equivalence
print.diffnet_struct_test	Structure dependence test

-- Q --

QAP	Permute the values of a matrix

-- R --

rdiffnet	Random diffnet network
rdiffnet_multiple	Random diffnet network
read_dl	Read foreign graph formats
read_ml	Read foreign graph formats
read_net	Read foreign graph formats
read_pajek	Read foreign graph formats
read_ucinet	Reads UCINET files
read_ucinet_head	Reads UCINET files
recode	Recodes an edgelist such that ids go from 1 to n
recode.data.frame	Recodes an edgelist such that ids go from 1 to n
recode.matrix	Recodes an edgelist such that ids go from 1 to n
resample_graph	Network Bootstrapping
rescale_vertex_igraph	Rescale vertex size to be used in 'plot.igraph'.
rewire_graph	Graph rewiring algorithms
rewire_permute	Permute the values of a matrix
rewire_qap	Permute the values of a matrix
rgraph_ba	Scale-free and Homophilic Random Networks
rgraph_er	Erdos-Renyi model
rgraph_ws	Watts-Strogatz model
ring_lattice	Ring lattice graph
round_to_seq	Takes a numeric vector and maps it into a finite length sequence

-- S --

scale-free	Scale-free and Homophilic Random Networks
select_egoalter	Calculate the number of adoption changes between ego and alter.
Shortest-Path	Approximate Geodesic Distances
small-world	Watts-Strogatz model
str.diffnet	Creates a 'diffnet' class object
struct_equiv	Structural Equivalence
struct_test	Structure dependence test
struct_test_asymp	Structure dependence test
summary.diffnet	Summary of diffnet objects
summary.diffnet_adoptChanges	Calculate the number of adoption changes between ego and alter.
survey_to_diffnet	Convert survey-like data and edgelists to a 'diffnet' object
susceptibility	Susceptibility and Infection

-- T --

t.diffnet	Creates a 'diffnet' class object
threshold	Retrive threshold levels from the exposure matrix
toa_diff	Difference in Time of Adoption (TOA) between individuals
toa_mat	Time of adoption matrix
transformGraphBy	Apply a function to a graph considering non-diagonal structural zeros
transformGraphBy.dgCMatrix	Apply a function to a graph considering non-diagonal structural zeros
transformGraphBy.diffnet	Apply a function to a graph considering non-diagonal structural zeros

-- U --

UCINET	Reads UCINET files
ucinet	Reads UCINET files

-- V --

vertex_covariate_compare	Comparisons at dyadic level
vertex_covariate_dist	Computes covariate distance between connected vertices
vertex_mahalanobis_dist	Computes covariate distance between connected vertices
vertex_rescale_igraph	Rescale vertex size to be used in 'plot.igraph'.

-- W --

weighted_var	Computes weighted variance
wvar	Computes weighted variance

-- misc --

%*%	Matrix multiplication
%*%.default	Matrix multiplication
%*%.diffnet	Matrix multiplication
&.diffnet	'diffnet' Arithmetic and Logical Operators
*.diffnet	'diffnet' Arithmetic and Logical Operators
-.diffnet	'diffnet' Arithmetic and Logical Operators
/.diffnet	'diffnet' Arithmetic and Logical Operators
[.diffnet	Indexing diffnet objects (on development)
[<-.diffnet	Indexing diffnet objects (on development)
[[.diffnet	Indexing diffnet objects (on development)
[[<-.diffnet	Indexing diffnet objects (on development)
^.diffnet	'diffnet' Arithmetic and Logical Operators
\|.diffnet	'diffnet' Arithmetic and Logical Operators