netdiffuseR1.22.6 package

Approximate Geodesic Distances

Coerce a diffnet graph into an array

Coerce a matrix-like objects to dgCMatrix (sparse matrix)

Bass Model

Network Bootstrapping

Combine diffnet objects

Classify adopters accordingly to Time of Adoption and Threshold levels...

Analyze an R object to identify the class of graph (if any)

Cummulative count of adopters

Indegree, outdegree and degree of the vertices

Creates a square matrix suitable for spatial statistics models.

diffnet Arithmetic and Logical Operators

Creates a diffnet class object

Infer whether value is dynamic or static.

Indexing diffnet objects (on development)

Matrix multiplication

Diffusion regression model

Diffusion Network Datasets

Creates a heatmap based on a graph layout and a vertex attribute

Draw a color key in the current device

Conversion between adjacency matrix and edgelist

Compute ego/alter edge coordinates considering alter's size and aspect...

Computes variance of $Y$ at ego level

Retrieve alter's attributes (network effects)

Ego exposure

Distribution over a grid

Network Hazard Rate

Coercion between graph classes

Susceptibility and Infection

Find and remove isolated vertices

Non-zero element-wise comparison between two sparse matrices

Optimal Leader/Mentor Matching

Computes Moran's I correlation index

Network data formats

netdiffuseR default options

netdiffuseR

Matching Estimators with Network Data

Coercion between diffnet, network and networkDynamic

Count the number of vertices/edges/slices in a graph

Permute the values of a matrix

S3 plotting method for diffnet objects.

Visualize adopters and cumulative adopters

Plot the diffusion process

Another way of visualizing diffusion

Plot distribution of infect/suscep

Threshold levels through time

Pretty numbers within a range.

Random diffnet network

Read foreign graph formats

Reads UCINET files

Recodes an edgelist such that ids go from 1 to n

Rescale vertex size to be used in plot.igraph.

Graph rewiring algorithms

Scale-free and Homophilic Random Networks

Erdos-Renyi model

Watts-Strogatz model

Ring lattice graph

Takes a numeric vector and maps it into a finite length sequence

Calculate the number of adoption changes between ego and alter.

Structural Equivalence

Structure dependence test

Summary of diffnet objects

Convert survey-like data and edgelists to a diffnet object

Retrive threshold levels from the exposure matrix

Difference in Time of Adoption (TOA) between individuals

Time of adoption matrix

Apply a function to a graph considering non-diagonal structural zeros

Comparisons at dyadic level

Computes covariate distance between connected vertices

Computes weighted variance