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sna (version 2.5)

Tools for Social Network Analysis

Description

A range of tools for social network analysis, including node and graph-level indices, structural distance and covariance methods, structural equivalence detection, network regression, random graph generation, and 2D/3D network visualization.

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Version

Install

install.packages('sna')

Monthly Downloads

15,571

Version

2.5

License

GPL (>= 2)

Maintainer

Last Published

December 10th, 2019

Functions in sna (2.5)

blockmodel.expand

Generate a Graph (or Stack) from a Given Blockmodel Using Particular Expansion Rules

Coleman's High School Friendship Data

Calculate the Component Size Distribution of a Graph

Add Isolates to a Graph

Generate Blockmodels Based on Partitions of Network Positions

bicomponent.dist

Calculate the Bicomponents of a Graph

component.size.byvertex

Get Component Sizes, by Vertex

Find the Number of (Maximal) Components Within a Given Graph

Find Bonacich Power Centrality Scores of Network Positions

Estimate Bayes Factors for the bbnam

Perform a Gould-Fernandez Brokerage Analysis

Compute the Betweenness Centrality Scores of Network Positions

Compute the Closeness Centrality Scores of Network Positions

Compute Cycle Census Information

Find Clusters of Positions Based on an Equivalence Relation

Univariate Conditional Uniform Graph Tests

Remove the Diagonals of Adjacency Matrices in a Graph Stack

Apply Functions Over Vertex Neighborhoods

Compute a Holland and Leinhardt MAN Dyad Census

Calculate Flow Betweenness Scores of Network Positions

Find the Central Graph of a Labeled Graph Stack

Find Eigenvector Centrality Scores of Network Positions

Two-Dimensional Visualization of Graphs

Vertex Layout Functions for gplot3d

Perform Conditional Uniform Graph (CUG) Hypothesis Tests for Graph-Level Indices

Add Loops to a Three-Dimensional Plot

Convert an Observed Event Matrix to a Dichotomous matrix

Add Arrows or Segments to a Plot

Compute Graph Connectedness Scores

Estimate a Consensus Structure from Multiple Observations

Butts' (Hierarchical) Bayesian Network Accuracy Model

Display a Graph in Target Diagram Form

Compute the k-Core Structure of a Graph

Find the Centralization of a Given Network, for Some Measure of Centrality

Compute Graph Efficiency Scores

Three-Dimensional Visualization of Graphs

Vectorization of Adjacency Matrices

Add Arrows a Three-Dimensional Plot

Add Vertices to a Plot

Find the Hamming Distances Between Two or More Graphs

Find the (Product-Moment) Correlation Between Two or More Labeled Graphs

Extract Egocentric Networks from Complete Network Data

Find the Covariance(s) Between Two or More Labeled Graphs

Find the Mutuality of a Graph

Optimize a Bivariate Graph Statistic Across a Set of Accessible Permutations

Vertex Layout Functions for gplot

eval.edgeperturbation

Compute the Effects of Single-Edge Perturbations on Structural Indices

gclust.boxstats

Plot Statistics Associated with Graph Clusters

Identify the Cutpoints of a Graph or Digraph

Add Loops to a Plot

gclust.centralgraph

Get Central Graphs Associated with Graph Clusters

Transpose an Input Graph

Compute Graph Hierarchy Scores

Compute the Transitivity of an Input Graph or Graph Stack

Find Information Centrality Scores of Network Positions

Compute the Degree Centrality Scores of Network Positions

Sample Network Covariance and Correlation Functions

Plotting for cugtest Objects

Printing for bbnam Objects

plot.equiv.clust

Plot an equiv.clust Object

print.blockmodel

Printing for blockmodel Objects

Take Posterior Predictive Draws for Functions of Networks

lower.tri.remove

Remove the Lower Triangles of Adjacency Matrices in a Graph Stack

Compute Graph LUBness Scores

Find the Number of Possible Ties in a Given Graph or Graph Stack

Find the Density of a Graph

Plot Differences in Graph-level Statistics Against Inter-graph Distances

Return a Binary Operation on GLI Values Computed on Two Graphs

Compute the Gil-Schmidt Power Index

Printing for cugtest Objects

Calculate Maximum Flows Between Vertices

make.stochastic

Make a Graph Stack Row, Column, or Row-column Stochastic

Get the nth Permutation Vector by Periodic Placement

Find the Structural Correlations Between Two or More Graphs

gdist.plotstats

Plot Various Graph Statistics Over a Network MDS

Printing for lnam Objects

Is Ego an Isolate?

Find the Structural Covariance(s) Between Two or More Graphs

Compute Path or Cycle Census Information

Printing for netlogit Objects

print.summary.lnam

Printing for summary.lnam Objects

List the Isolates in a Graph or Graph Stack

Fit a Linear Network Autocorrelation Model

Compute the Load Centrality Scores of Network Positions

print.summary.cugtest

Printing for summary.cugtest Objects

Plotting for qaptest Objects

Plotting for lnam Objects

print.summary.blockmodel

Printing for summary.blockmodel Objects

Find a Matrix of Distances Between Positions Based on Regular Equivalence

print.summary.qaptest

Printing for summary.qaptest Objects

print.summary.netcancor

Printing for summary.netcancor Objects

Draw from a Skvoretz-Fararo Biased Net Process

Fit a p*/ERG Model Using a Logistic Approximation

Linear Regression for Network Data

Logistic Regression for Network Data

Draw Dyad Census-Conditioned Random Graphs

Generate Bernoulli Random Graphs

Internal sna Functions

Fund the Numbers and Lengths of Geodesics Among Nodes in a Graph

Tools for Social Network Analysis

sna Coercion Functions

Find a Matrix of Distances Between Positions Based on Structural Equivalence

Is a Given Graph Connected?

Compute the Reciprocity of an Input Graph or Graph Stack

Compute the (Harary) Graph Centrality Scores of Network Positions

Convert Spell Data to Interval Graphs

Compute Neighborhood Structures of Specified Order

Printing for qaptest Objects

plot.sociomatrix

Plot Matrices Using a Color/Intensity Grid

potscalered.mcmc

Compute Gelman and Rubin's Potential Scale Reduction Measure for a Markov Chain Monte Carlo Simulation

summary.qaptest

Detailed Summaries of qaptest Objects

Deprecated Functions in sna Package

Defunct sna Objects

Detailed Summaries of netlm Objects

summary.netlogit

Detailed Summaries of netlogit Objects

Write Output Graphs in DL Format

upper.tri.remove

Remove the Upper Triangles of Adjacency Matrices in a Graph Stack

Symmetrize an Adjacency Matrix

Find the Reachability Matrix of a Graph

Perform Quadratic Assignment Procedure (QAP) Hypothesis Tests for Graph-Level Statistics

Canonical Correlation for Labeled Graphs

Find the Structural Distances Between Two or More Graphs

structure.statistics

Compute Network Structure Statistics

Draw a Random Permutation Vector with Exchangeability Constraints

Estimate the Structural Distance Matrix for a Graph Stack

Plotting for bbnam Objects

plot.blockmodel

Plotting for blockmodel Objects

Calculate the Vertex Prestige Scores

print.bayes.factor

Printing for Bayes Factor Objects

Printing for netlm Objects

print.netcancor

Printing for netcancor Objects

summary.blockmodel

Detailed Summaries of blockmodel Objects

summary.cugtest

Detailed Summaries of cugtest Objects

Write Output Graphs in (N)eo-(O)rg(S)tat Format

print.summary.bbnam

Printing for summary.bbnam Objects

print.summary.netlogit

Printing for summary.netlogit Objects

Randomly Permute the Rows and Columns of an Input Matrix

print.summary.netlm

Printing for summary.netlm Objects

print.summary.bayes.factor

Printing for summary.bayes.factor Objects

Draw From the Watts-Strogatz Rewiring Model

Read Graphviz DOT Files

How Many Graphs are in a Graph Stack?

Compute the Stress Centrality Scores of Network Positions

summary.netcancor

Detailed Summaries of netcancor Objects

Compute the Davis and Leinhardt Classification of a Given Triad

Detailed Summaries of lnam Objects

Compute the Davis and Leinhardt Triad Census

summary.bayes.factor

Detailed Summaries of Bayes Factor Objects

Graphical Operators

Draw Density-Conditioned Random Graphs

Convert a Row-wise Self-Report Matrix to a CSS Matrix with Missing Observations

Detailed Summaries of bbnam Objects

Draw Mixing-Conditioned Random Graphs

Read (N)eo-(O)rg(S)tat Input Files

Fit a Biased Net Model