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sna (version 2.8)

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

2.8

License

GPL (>= 2)

Maintainer

Last Published

September 8th, 2024

Functions in sna (2.8)

blockmodel.expand

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

bicomponent.dist

Calculate the Bicomponents of a Graph

Add Isolates to a Graph

Generate Blockmodels Based on Partitions of Network Positions

Butts' (Hierarchical) Bayesian Network Accuracy Model

Perform a Gould-Fernandez Brokerage Analysis

Compute the Betweenness Centrality Scores of Network Positions

Estimate Bayes Factors for the bbnam

Fit a Biased Net Model

Find the Central Graph of a Labeled Graph Stack

Compute Graph Connectedness Scores

Compute Cycle Census Information

Find Bonacich Power Centrality Scores of Network Positions

Estimate a Consensus Structure from Multiple Observations

Compute the Closeness Centrality Scores of Network Positions

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

Calculate the Component Size Distribution of a Graph

component.size.byvertex

Get Component Sizes, by Vertex

Coleman's High School Friendship Data

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

Extract Egocentric Networks from Complete Network Data

Univariate Conditional Uniform Graph Tests

Find Clusters of Positions Based on an Equivalence Relation

Compute Graph Efficiency Scores

Identify the Cutpoints of a Graph or Digraph

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

Remove the Diagonals of Adjacency Matrices in a Graph Stack

eval.edgeperturbation

Compute the Effects of Single-Edge Perturbations on Structural Indices

Find Eigenvector Centrality Scores of Network Positions

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

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

Compute the Degree Centrality Scores of Network Positions

Calculate Flow Betweenness Scores of Network Positions

Apply Functions Over Vertex Neighborhoods

Compute a Holland and Leinhardt MAN Dyad Census

Find the Density of a Graph

Vertex Layout Functions for gplot

Add Loops to a Plot

Compute the Gil-Schmidt Power Index

Convert an Observed Event Matrix to a Dichotomous matrix

Return a Binary Operation on GLI Values Computed on Two Graphs

Three-Dimensional Visualization of Graphs

Two-Dimensional Visualization of Graphs

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

Vertex Layout Functions for gplot3d

Add Arrows a Three-Dimensional Plot

Add Arrows or Segments to a Plot

Compute the (Harary) Graph Centrality Scores of Network Positions

Compute Graph Hierarchy Scores

gdist.plotstats

Plot Various Graph Statistics Over a Network MDS

Find Information Centrality Scores of Network Positions

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

Add Loops to a Three-Dimensional Plot

Compute the Reciprocity of an Input Graph or Graph Stack

gclust.boxstats

Plot Statistics Associated with Graph Clusters

Is Ego an Isolate?

Transpose an Input Graph

Compute the k-Core Structure of a Graph

Compute the Transitivity of an Input Graph or Graph Stack

Optimize a Bivariate Graph Statistic Across a Set of Accessible Permutations

Convert Spell Data to Interval Graphs

Compute Neighborhood Structures of Specified Order

Is a Given Graph Connected?

List the Isolates in a Graph or Graph Stack

Canonical Correlation for Labeled Graphs

Find the Mutuality of a Graph

Sample Network Covariance and Correlation Functions

gclust.centralgraph

Get Central Graphs Associated with Graph Clusters

make.stochastic

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

Calculate Maximum Flows Between Vertices

lower.tri.remove

Remove the Lower Triangles of Adjacency Matrices in a Graph Stack

Get the nth Permutation Vector by Periodic Placement

Plotting for cugtest Objects

Printing for bbnam Objects

Compute Graph LUBness Scores

Display a Graph in Target Diagram Form

Compute Path or Cycle Census Information

Fit a Linear Network Autocorrelation Model

print.blockmodel

Printing for blockmodel Objects

Compute the Load Centrality Scores of Network Positions

plot.sociomatrix

Plot Matrices Using a Color/Intensity Grid

plot.equiv.clust

Plot an equiv.clust Object

Add Vertices to a Plot

Take Posterior Predictive Draws for Functions of Networks

Printing for cugtest Objects

potscalered.mcmc

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

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

Printing for netlogit Objects

Printing for lnam Objects

print.summary.bayes.factor

Printing for summary.bayes.factor Objects

Linear Regression for Network Data

print.summary.bbnam

Printing for summary.bbnam Objects

Logistic Regression for Network Data

print.summary.blockmodel

Printing for summary.blockmodel Objects

print.summary.cugtest

Printing for summary.cugtest Objects

Find the Structural Correlations Between Two or More Graphs

print.summary.lnam

Printing for summary.lnam Objects

Printing for qaptest Objects

print.summary.netcancor

Printing for summary.netcancor Objects

Generate Bernoulli Random Graphs

print.summary.qaptest

Printing for summary.qaptest Objects

Draw Dyad Census-Conditioned Random Graphs

Fit a p*/ERG Model Using a Logistic Approximation

print.summary.netlm

Printing for summary.netlm Objects

Find a Matrix of Distances Between Positions Based on Structural Equivalence

print.summary.netlogit

Printing for summary.netlogit Objects

Calculate the Vertex Prestige Scores

print.bayes.factor

Printing for Bayes Factor Objects

Find the Simmelian Tie Structure of a Graph

Draw Density-Conditioned Random Graphs

print.netcancor

Printing for netcancor Objects

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

sna Coercion Functions

Vectorization of Adjacency Matrices

Tools for Social Network Analysis

Graphical Operators

Detailed Summaries of bbnam Objects

Defunct sna Objects

Printing for netlm Objects

summary.blockmodel

Detailed Summaries of blockmodel Objects

Find a Matrix of Distances Between Positions Based on Regular Equivalence

Draw from a Skvoretz-Fararo Biased Net Process

Draw Mixing-Conditioned Random Graphs

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

Symmetrize an Adjacency Matrix

Find the Reachability Matrix of a Graph

Draw a Random Permutation Vector with Exchangeability Constraints

Estimate the Structural Distance Matrix for a Graph Stack

Deprecated Functions in sna Package

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

Find the Hamming Distances Between Two or More Graphs

How Many Graphs are in a Graph Stack?

structure.statistics

Compute Network Structure Statistics

summary.bayes.factor

Detailed Summaries of Bayes Factor Objects

Compute the Davis and Leinhardt Classification of a Given Triad

Compute the Stress Centrality Scores of Network Positions

Compute the Davis and Leinhardt Triad Census

upper.tri.remove

Remove the Upper Triangles of Adjacency Matrices in a Graph Stack

Internal sna Functions

Find the Structural Distances Between Two or More Graphs

summary.netcancor

Detailed Summaries of netcancor Objects

summary.netlogit

Detailed Summaries of netlogit Objects

summary.qaptest

Detailed Summaries of qaptest Objects

Detailed Summaries of netlm Objects

Write Output Graphs in DL Format

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

Plotting for bbnam Objects

plot.blockmodel

Plotting for blockmodel Objects

Plotting for lnam Objects

Plotting for qaptest Objects

Read Graphviz DOT Files

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

Draw From the Watts-Strogatz Rewiring Model

Randomly Permute the Rows and Columns of an Input Matrix

summary.cugtest

Detailed Summaries of cugtest Objects

Detailed Summaries of lnam Objects