Find the Central Graph of a Labeled Graph Stack
Compute the Closeness Centrality Scores of Network Positions
Calculate the Component Size Distribution of a Graph
Compute Cycle Census Information
Estimate a Consensus Structure from Multiple Observations
Find the Centralization of a Given Network, for Some Measure of Centrality
Coleman's High School Friendship Data
Compute Graph Connectedness Scores
Get Component Sizes, by Vertex
Univariate Conditional Uniform Graph Tests
Find the Number of (Maximal) Components Within a Given Graph
Extract Egocentric Networks from Complete Network Data
Compute Graph Efficiency Scores
Find Eigenvector Centrality Scores of Network Positions
Perform Conditional Uniform Graph (CUG) Hypothesis Tests for Graph-Level Indices
Find Clusters of Positions Based on an Equivalence Relation
Compute a Holland and Leinhardt MAN Dyad Census
Compute the Effects of Single-Edge Perturbations on Structural Indices
Identify the Cutpoints of a Graph or Digraph
Remove the Diagonals of Adjacency Matrices in a Graph Stack
Compute the Degree Centrality Scores of Network Positions
Plot Statistics Associated with Graph Clusters
Plot Differences in Graph-level Statistics Against Inter-graph Distances
Get Central Graphs Associated with Graph Clusters
Find the (Product-Moment) Correlation Between Two or More Labeled Graphs
Find the Covariance(s) Between Two or More Labeled Graphs
Convert an Observed Event Matrix to a Dichotomous matrix
Find the Density of a Graph
Apply Functions Over Vertex Neighborhoods
Calculate Flow Betweenness Scores of Network Positions
Plot Various Graph Statistics Over a Network MDS
Fund the Numbers and Lengths of Geodesics Among Nodes in a Graph
Two-Dimensional Visualization of Graphs
Add Loops to a Plot
Vertex Layout Functions for gplot
Compute the Gil-Schmidt Power Index
Add Arrows a Three-Dimensional Plot
Display a Graph in Target Diagram Form
Add Vertices to a Plot
Add Arrows or Segments to a Plot
Return a Binary Operation on GLI Values Computed on Two Graphs
Add Loops to a Three-Dimensional Plot
Compute the (Harary) Graph Centrality Scores of Network Positions
Compute the Reciprocity of an Input Graph or Graph Stack
Three-Dimensional Visualization of Graphs
Find the Structural Correlations Between Two or More Graphs
Compute the Transitivity of an Input Graph or Graph Stack
Vertex Layout Functions for gplot3d
Find the Structural Covariance(s) Between Two or More Graphs
Vectorization of Adjacency Matrices
Transpose an Input Graph
Optimize a Bivariate Graph Statistic Across a Set of Accessible Permutations
Fit a Linear Network Autocorrelation Model
Estimate Bayes Factors for the bbnam
Convert Spell Data to Interval Graphs
Add Isolates to a Graph
Find Information Centrality Scores of Network Positions
Find the Mutuality of a Graph
Calculate Maximum Flows Between Vertices
Get the nth Permutation Vector by Periodic Placement
Find the Number of Possible Ties in a Given Graph or Graph Stack
Compute Gelman and Rubin's Potential Scale Reduction Measure for a Markov Chain Monte Carlo Simulation
Calculate the Vertex Prestige Scores
Printing for summary.bbnam Objects
Read (N)eo-(O)rg(S)tat Input Files
Printing for summary.blockmodel Objects
Find a Matrix of Distances Between Positions Based on Structural Equivalence
Estimate the Structural Distance Matrix for a Graph Stack
Find a Matrix of Distances Between Positions Based on Regular Equivalence
Find the Hamming Distances Between Two or More Graphs
Perform a Gould-Fernandez Brokerage Analysis
Compute Graph Hierarchy Scores
Sample Network Covariance and Correlation Functions
Plotting for qaptest Objects
Compute Neighborhood Structures of Specified Order
Find the Reachability Matrix of a Graph
Printing for netlogit Objects
Printing for netlm Objects
Plot Matrices Using a Color/Intensity Grid
Compute Network Structure Statistics
Find the Structural Distances Between Two or More Graphs
Detailed Summaries of blockmodel Objects
Detailed Summaries of cugtest Objects
Calculate the Bicomponents of a Graph
Butts' (Hierarchical) Bayesian Network Accuracy Model
Make a Graph Stack Row, Column, or Row-column Stochastic
Compute Graph LUBness Scores
Is Ego an Isolate?
Is a Given Graph Connected?
Plotting for blockmodel Objects
Plotting for cugtest Objects
Printing for blockmodel Objects
Generate a Graph (or Stack) from a Given Blockmodel Using Particular Expansion Rules
Generate Blockmodels Based on Partitions of Network Positions
Plotting for lnam Objects
Plot an equiv.clust Object
Graphical Operators
Draw From the Watts-Strogatz Rewiring Model
Draw Dyad Census-Conditioned Random Graphs
Fit a Biased Net Model
Convert a Row-wise Self-Report Matrix to a CSS Matrix with Missing Observations
Find Bonacich Power Centrality Scores of Network Positions
Compute the k-Core Structure of a Graph
List the Isolates in a Graph or Graph Stack
Remove the Lower Triangles of Adjacency Matrices in a Graph Stack
Compute the Load Centrality Scores of Network Positions
Take Posterior Predictive Draws for Functions of Networks
Logistic Regression for Network Data
Read Graphviz DOT Files
Printing for bbnam Objects
Printing for Bayes Factor Objects
Draw Mixing-Conditioned Random Graphs
Generate Bernoulli Random Graphs
How Many Graphs are in a Graph Stack?
Detailed Summaries of netlm Objects
Compute the Stress Centrality Scores of Network Positions
Detailed Summaries of netlogit Objects
Write Output Graphs in DL Format
Write Output Graphs in (N)eo-(O)rg(S)tat Format
Printing for cugtest Objects
Printing for summary.netcancor Objects
Printing for summary.netlm Objects
Perform Quadratic Assignment Procedure (QAP) Hypothesis Tests for Graph-Level Statistics
Defunct sna Objects
sna Coercion Functions
Fit a p*/ERG Model Using a Logistic Approximation
Symmetrize an Adjacency Matrix
Detailed Summaries of qaptest Objects
Printing for summary.cugtest Objects
Printing for summary.lnam Objects
Printing for summary.netlogit Objects
Printing for summary.qaptest Objects
Randomly Permute the Rows and Columns of an Input Matrix
Draw a Random Permutation Vector with Exchangeability Constraints
Detailed Summaries of bbnam Objects
Detailed Summaries of Bayes Factor Objects
Detailed Summaries of netcancor Objects
Detailed Summaries of lnam Objects
Compute Path or Cycle Census Information
Linear Regression for Network Data
Canonical Correlation for Labeled Graphs
Plotting for bbnam Objects
Printing for lnam Objects
print.summary.bayes.factor
Printing for summary.bayes.factor Objects
Printing for qaptest Objects
Printing for netcancor Objects
Draw from a Skvoretz-Fararo Biased Net Process
Draw Density-Conditioned Random Graphs
Compute the Davis and Leinhardt Triad Census
Tools for Social Network Analysis
Internal sna Functions
Remove the Upper Triangles of Adjacency Matrices in a Graph Stack
Compute the Betweenness Centrality Scores of Network Positions
Compute the Davis and Leinhardt Classification of a Given Triad
Deprecated Functions in sna Package