sna v2.4


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Tools for Social Network Analysis

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.

Functions in sna

Name Description
centralgraph Find the Central Graph of a Labeled Graph Stack
closeness Compute the Closeness Centrality Scores of Network Positions
component.dist Calculate the Component Size Distribution of a Graph
clique.census Compute Cycle Census Information
consensus Estimate a Consensus Structure from Multiple Observations
centralization Find the Centralization of a Given Network, for Some Measure of Centrality
coleman Coleman's High School Friendship Data
connectedness Compute Graph Connectedness Scores
component.size.byvertex Get Component Sizes, by Vertex
cug.test Univariate Conditional Uniform Graph Tests
components Find the Number of (Maximal) Components Within a Given Graph
ego.extract Extract Egocentric Networks from Complete Network Data
efficiency Compute Graph Efficiency Scores
evcent Find Eigenvector Centrality Scores of Network Positions
cugtest Perform Conditional Uniform Graph (CUG) Hypothesis Tests for Graph-Level Indices
equiv.clust Find Clusters of Positions Based on an Equivalence Relation
dyad.census Compute a Holland and Leinhardt MAN Dyad Census
eval.edgeperturbation Compute the Effects of Single-Edge Perturbations on Structural Indices
cutpoints Identify the Cutpoints of a Graph or Digraph
diag.remove Remove the Diagonals of Adjacency Matrices in a Graph Stack
degree Compute the Degree Centrality Scores of Network Positions
gclust.boxstats Plot Statistics Associated with Graph Clusters
gdist.plotdiff Plot Differences in Graph-level Statistics Against Inter-graph Distances
gclust.centralgraph Get Central Graphs Associated with Graph Clusters
gcor Find the (Product-Moment) Correlation Between Two or More Labeled Graphs
gcov Find the Covariance(s) Between Two or More Labeled Graphs
event2dichot Convert an Observed Event Matrix to a Dichotomous matrix
gden Find the Density of a Graph
gapply Apply Functions Over Vertex Neighborhoods
flowbet Calculate Flow Betweenness Scores of Network Positions
gdist.plotstats Plot Various Graph Statistics Over a Network MDS
geodist Fund the Numbers and Lengths of Geodesics Among Nodes in a Graph
gplot Two-Dimensional Visualization of Graphs
gplot.loop Add Loops to a Plot
gplot.layout Vertex Layout Functions for gplot
gilschmidt Compute the Gil-Schmidt Power Index
gplot3d.arrow Add Arrows a Three-Dimensional Plot Display a Graph in Target Diagram Form
gplot.vertex Add Vertices to a Plot
gplot.arrow Add Arrows or Segments to a Plot
gliop Return a Binary Operation on GLI Values Computed on Two Graphs
gplot3d.loop Add Loops to a Three-Dimensional Plot
graphcent Compute the (Harary) Graph Centrality Scores of Network Positions
grecip Compute the Reciprocity of an Input Graph or Graph Stack
gplot3d Three-Dimensional Visualization of Graphs
gscor Find the Structural Correlations Between Two or More Graphs
gtrans Compute the Transitivity of an Input Graph or Graph Stack
gplot3d.layout Vertex Layout Functions for gplot3d
gscov Find the Structural Covariance(s) Between Two or More Graphs
gvectorize Vectorization of Adjacency Matrices
gt Transpose an Input Graph
lab.optimize Optimize a Bivariate Graph Statistic Across a Set of Accessible Permutations
lnam Fit a Linear Network Autocorrelation Model Estimate Bayes Factors for the bbnam
interval.graph Convert Spell Data to Interval Graphs
add.isolates Add Isolates to a Graph
infocent Find Information Centrality Scores of Network Positions
mutuality Find the Mutuality of a Graph
maxflow Calculate Maximum Flows Between Vertices
numperm Get the nth Permutation Vector by Periodic Placement
nties Find the Number of Possible Ties in a Given Graph or Graph Stack
potscalered.mcmc Compute Gelman and Rubin's Potential Scale Reduction Measure for a Markov Chain Monte Carlo Simulation
prestige Calculate the Vertex Prestige Scores
print.summary.bbnam Printing for summary.bbnam Objects
read.nos Read (N)eo-(O)rg(S)tat Input Files
print.summary.blockmodel Printing for summary.blockmodel Objects
sedist Find a Matrix of Distances Between Positions Based on Structural Equivalence
sdmat Estimate the Structural Distance Matrix for a Graph Stack
redist Find a Matrix of Distances Between Positions Based on Regular Equivalence
hdist Find the Hamming Distances Between Two or More Graphs
brokerage Perform a Gould-Fernandez Brokerage Analysis
hierarchy Compute Graph Hierarchy Scores
nacf Sample Network Covariance and Correlation Functions
plot.qaptest Plotting for qaptest Objects
neighborhood Compute Neighborhood Structures of Specified Order
reachability Find the Reachability Matrix of a Graph
print.netlogit Printing for netlogit Objects
print.netlm Printing for netlm Objects
plot.sociomatrix Plot Matrices Using a Color/Intensity Grid
structure.statistics Compute Network Structure Statistics
structdist Find the Structural Distances Between Two or More Graphs
summary.blockmodel Detailed Summaries of blockmodel Objects
summary.cugtest Detailed Summaries of cugtest Objects
bicomponent.dist Calculate the Bicomponents of a Graph
bbnam Butts' (Hierarchical) Bayesian Network Accuracy Model
make.stochastic Make a Graph Stack Row, Column, or Row-column Stochastic
lubness Compute Graph LUBness Scores
is.isolate Is Ego an Isolate?
is.connected Is a Given Graph Connected?
plot.blockmodel Plotting for blockmodel Objects
plot.cugtest Plotting for cugtest Objects
print.blockmodel Printing for blockmodel Objects
blockmodel.expand Generate a Graph (or Stack) from a Given Blockmodel Using Particular Expansion Rules
blockmodel Generate Blockmodels Based on Partitions of Network Positions
plot.lnam Plotting for lnam Objects
plot.equiv.clust Plot an equiv.clust Object
sna.operators Graphical Operators
rgws Draw From the Watts-Strogatz Rewiring Model
rguman Draw Dyad Census-Conditioned Random Graphs
bn Fit a Biased Net Model
sr2css Convert a Row-wise Self-Report Matrix to a CSS Matrix with Missing Observations
bonpow Find Bonacich Power Centrality Scores of Network Positions
kcores Compute the k-Core Structure of a Graph
isolates List the Isolates in a Graph or Graph Stack
lower.tri.remove Remove the Lower Triangles of Adjacency Matrices in a Graph Stack
loadcent Compute the Load Centrality Scores of Network Positions
npostpred Take Posterior Predictive Draws for Functions of Networks
netlogit Logistic Regression for Network Data Read Graphviz DOT Files
print.bbnam Printing for bbnam Objects
print.bayes.factor Printing for Bayes Factor Objects
rgnmix Draw Mixing-Conditioned Random Graphs
rgraph Generate Bernoulli Random Graphs
stackcount How Many Graphs are in a Graph Stack?
summary.netlm Detailed Summaries of netlm Objects
stresscent Compute the Stress Centrality Scores of Network Positions
summary.netlogit Detailed Summaries of netlogit Objects
write.dl Write Output Graphs in DL Format
write.nos Write Output Graphs in (N)eo-(O)rg(S)tat Format
print.cugtest Printing for cugtest Objects
print.summary.netcancor Printing for summary.netcancor Objects
print.summary.netlm Printing for summary.netlm Objects
qaptest Perform Quadratic Assignment Procedure (QAP) Hypothesis Tests for Graph-Level Statistics
sna-defunct Defunct sna Objects
sna-coercion sna Coercion Functions
pstar Fit a p*/ERG Model Using a Logistic Approximation
symmetrize Symmetrize an Adjacency Matrix
summary.qaptest Detailed Summaries of qaptest Objects
print.summary.cugtest Printing for summary.cugtest Objects
print.summary.lnam Printing for summary.lnam Objects
print.summary.netlogit Printing for summary.netlogit Objects
print.summary.qaptest Printing for summary.qaptest Objects
rmperm Randomly Permute the Rows and Columns of an Input Matrix
rperm Draw a Random Permutation Vector with Exchangeability Constraints
summary.bbnam Detailed Summaries of bbnam Objects
summary.bayes.factor Detailed Summaries of Bayes Factor Objects
summary.netcancor Detailed Summaries of netcancor Objects
summary.lnam Detailed Summaries of lnam Objects
kpath.census Compute Path or Cycle Census Information
netlm Linear Regression for Network Data
netcancor Canonical Correlation for Labeled Graphs
plot.bbnam Plotting for bbnam Objects
print.lnam Printing for lnam Objects
print.summary.bayes.factor Printing for summary.bayes.factor Objects
print.qaptest Printing for qaptest Objects
print.netcancor Printing for netcancor Objects
rgbn Draw from a Skvoretz-Fararo Biased Net Process
rgnm Draw Density-Conditioned Random Graphs
triad.census Compute the Davis and Leinhardt Triad Census
sna Tools for Social Network Analysis
sna-internal Internal sna Functions
upper.tri.remove Remove the Upper Triangles of Adjacency Matrices in a Graph Stack
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Last month downloads


Date 2016-07-23
License GPL (>= 2)
NeedsCompilation yes
Packaged 2016-08-06 00:48:44 UTC; buttsc
Repository CRAN
Date/Publication 2016-08-08 09:36:22

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