sna: Tools for Social Network Analysis
> library(sna)
sna: Tools for Social Network Analysis
Version 2.3-2 created on 2014-01-13.
copyright (c) 2005, Carter T. Butts, University of California-Irvine
For citation information, type citation("sna").
Type help(package="sna") to get started.
バージョン: 2.3.2
関数名 | 概略 |
---|---|
add.isolates |
Add Isolates to a Graph |
as.edgelist.sna |
sna Coercion Functions |
bbnam |
Butts' (Hierarchical) Bayesian Network Accuracy Model |
bbnam.bf |
Estimate Bayes Factors for the bbnam |
betweenness |
Compute the Betweenness Centrality Scores of Network Positions |
bicomponent.dist |
Calculate the Bicomponents of a Graph |
blockmodel |
Generate Blockmodels Based on Partitions of Network Positions |
blockmodel.expand |
Generate a Graph (or Stack) from a Given Blockmodel Using Particular Expansion Rules |
bn |
Fit a Biased Net Model |
bonpow |
Find Bonacich Power Centrality Scores of Network Positions |
brokerage |
Perform a Gould-Fernandez Brokerage Analysis |
centralgraph |
Find the Central Graph of a Labeled Graph Stack |
centralization |
Find the Centralization of a Given Network, for Some Measure of Centrality |
clique.census |
Compute Cycle Census Information |
closeness |
Compute the Closeness Centrality Scores of Network Positions |
coleman |
Coleman's High School Friendship Data |
component.dist |
Calculate the Component Size Distribution of a Graph |
components |
Find the Number of (Maximal) Components Within a Given Graph |
connectedness |
Compute Graph Connectedness Scores |
consensus |
Estimate a Consensus Structure from Multiple Observations |
cug.test |
Univariate Conditional Uniform Graph Tests |
cugtest |
Perform Conditional Uniform Graph (CUG) Hypothesis Tests for Graph-Level Indices |
cutpoints |
Identify the Cutpoints of a Graph or Digraph |
degree |
Compute the Degree Centrality Scores of Network Positions |
diag.remove |
Remove the Diagonals of Adjacency Matrices in a Graph Stack |
dyad.census |
Compute a Holland and Leinhardt MAN Dyad Census |
efficiency |
Compute Graph Efficiency Scores |
ego.extract |
Extract Egocentric Networks from Complete Network Data |
equiv.clust |
Find Clusters of Positions Based on an Equivalence Relation |
eval.edgeperturbation |
Compute the Effects of Single-Edge Perturbations on Structural Indices |
evcent |
Find Eigenvector Centrality Scores of Network Positions |
event2dichot |
Convert an Observed Event Matrix to a Dichotomous matrix |
flowbet |
Calculate Flow Betweenness Scores of Network Positions |
gapply |
Apply Functions Over Vertex Neighborhoods |
gclust.boxstats |
Plot Statistics Associated with Graph Clusters |
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 |
gden |
Find the Density of a Graph |
gdist.plotdiff |
Plot Differences in Graph-level Statistics Against Inter-graph Distances |
gdist.plotstats |
Plot Various Graph Statistics Over a Network MDS |
geodist |
Fund the Numbers and Lengths of Geodesics Among Nodes in a Graph |
gliop |
Return a Binary Operation on GLI Values Computed on Two Graphs |
gplot |
Two-Dimensional Visualization of Graphs |
gplot.arrow |
Add Arrows or Segments to a Plot |
gplot.layout |
Vertex Layout Functions for gplot |
gplot.loop |
Add Loops to a Plot |
gplot.target |
Display a Graph in Target Diagram Form |
gplot.vertex |
Add Vertices to a Plot |
gplot3d |
Three-Dimensional Visualization of Graphs |
gplot3d.arrow |
Add Arrows a Three-Dimensional Plot |
gplot3d.layout |
Vertex Layout Functions for gplot3d |
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 |
gscor |
Find the Structural Correlations Between Two or More Graphs |
gscov |
Find the Structural Covariance(s) Between Two or More Graphs |
gt |
Transpose an Input Graph |
gtrans |
Compute the Transitivity of an Input Graph or Graph Stack |
gvectorize |
Vectorization of Adjacency Matrices |
hdist |
Find the Hamming Distances Between Two or More Graphs |
hierarchy |
Compute Graph Hierarchy Scores |
infocent |
Find Information Centrality Scores of Network Positions |
interval.graph |
Convert Spell Data to Interval Graphs |
is.connected |
Is a Given Graph Connected? |
is.isolate |
Is Ego an Isolate? |
isolates |
List the Isolates in a Graph or Graph Stack |
kcores |
Compute the k-Core Structure of a Graph |
kpath.census |
Compute Path or Cycle Census Information |
lab.optimize |
Optimize a Bivariate Graph Statistic Across a Set of Accessible Permutations |
lnam |
Fit a Linear Network Autocorrelation Model |
loadcent |
Compute the Load Centrality Scores of Network Positions |
lower.tri.remove |
Remove the Lower Triangles of Adjacency Matrices in a Graph Stack |
lubness |
Compute Graph LUBness Scores |
make.stochastic |
Make a Graph Stack Row, Column, or Row-column Stochastic |
maxflow |
Calculate Maximum Flows Between Vertices |
mutuality |
Find the Mutuality of a Graph |
nacf |
Sample Network Covariance and Correlation Functions |
neighborhood |
Compute Neighborhood Structures of Specified Order |
netcancor |
Canonical Correlation for Labeled Graphs |
netlm |
Linear Regression for Network Data |
netlogit |
Logistic Regression for Network Data |
npostpred |
Take Posterior Predictive Draws for Functions of Networks |
nties |
Find the Number of Possible Ties in a Given Graph or Graph Stack |
numperm |
Get the nth Permutation Vector by Periodic Placement |
plot.bbnam |
Plotting for bbnam Objects |
plot.blockmodel |
Plotting for blockmodel Objects |
plot.cugtest |
Plotting for cugtest Objects |
plot.equiv.clust |
Plot an equiv.clust Object |
plot.lnam |
Plotting for lnam Objects |
plot.qaptest |
Plotting 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 |
prestige |
Calculate the Vertex Prestige Scores |
print.bayes.factor |
Printing for Bayes Factor Objects |
print.bbnam |
Printing for bbnam Objects |
print.blockmodel |
Printing for blockmodel Objects |
print.cugtest |
Printing for cugtest Objects |
print.lnam |
Printing for lnam Objects |
print.netcancor |
Printing for netcancor Objects |
print.netlm |
Printing for netlm Objects |
print.netlogit |
Printing for netlogit Objects |
print.qaptest |
Printing for qaptest Objects |
print.summary.bayes.factor |
Printing for summary.bayes.factor Objects |
print.summary.bbnam |
Printing for summary.bbnam Objects |
print.summary.blockmodel |
Printing for summary.blockmodel Objects |
print.summary.cugtest |
Printing for summary.cugtest Objects |
print.summary.lnam |
Printing for summary.lnam Objects |
print.summary.netcancor |
Printing for summary.netcancor Objects |
print.summary.netlm |
Printing for summary.netlm Objects |
print.summary.netlogit |
Printing for summary.netlogit Objects |
print.summary.qaptest |
Printing for summary.qaptest Objects |
pstar |
Fit a p*/ERG Model Using a Logistic Approximation |
qaptest |
Perform Quadratic Assignment Procedure (QAP) Hypothesis Tests for Graph-Level Statistics |
reachability |
Find the Reachability Matrix of a Graph |
read.dot |
Read Graphviz DOT Files |
read.nos |
Read (N)eo-(O)rg(S)tat Input Files |
redist |
Find a Matrix of Distances Between Positions Based on Regular Equivalence |
rgbn |
Draw from a Skvoretz-Fararo Biased Net Process |
rgnm |
Draw Density-Conditioned Random Graphs |
rgnmix |
Draw Mixing-Conditioned Random Graphs |
rgraph |
Generate Bernoulli Random Graphs |
rguman |
Draw Dyad Census-Conditioned Random Graphs |
rgws |
Draw From the Watts-Strogatz Rewiring Model |
rmperm |
Randomly Permute the Rows and Columns of an Input Matrix |
rperm |
Draw a Random Permutation Vector with Exchangeability Constraints |
sdmat |
Estimate the Structural Distance Matrix for a Graph Stack |
sedist |
Find a Matrix of Distances Between Positions Based on Structural Equivalence |
sna |
Tools for Social Network Analysis |
sna-deprecated |
Deprecated Functions in sna Package |
sna.operators |
Graphical Operators |
sr2css |
Convert a Row-wise Self-Report Matrix to a CSS Matrix with Missing Observations |
stackcount |
How Many Graphs are in a Graph Stack? |
stresscent |
Compute the Stress Centrality Scores of Network Positions |
structdist |
Find the Structural Distances Between Two or More Graphs |
structure.statistics |
Compute Network Structure Statistics |
summary.bayes.factor |
Detailed Summaries of Bayes Factor Objects |
summary.bbnam |
Detailed Summaries of bbnam Objects |
summary.blockmodel |
Detailed Summaries of blockmodel Objects |
summary.cugtest |
Detailed Summaries of cugtest Objects |
summary.lnam |
Detailed Summaries of lnam Objects |
summary.netcancor |
Detailed Summaries of netcancor Objects |
summary.netlm |
Detailed Summaries of netlm Objects |
summary.netlogit |
Detailed Summaries of netlogit Objects |
summary.qaptest |
Detailed Summaries of qaptest Objects |
symmetrize |
Symmetrize an Adjacency Matrix |
triad.census |
Compute the Davis and Leinhardt Triad Census |
triad.classify |
Compute the Davis and Leinhardt Classification of a Given Triad |
upper.tri.remove |
Remove the Upper Triangles of Adjacency Matrices in a Graph Stack |
write.dl |
Write Output Graphs in DL Format |
write.nos |
Write Output Graphs in (N)eo-(O)rg(S)tat Format |