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 | |
| gplot.target | 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 | |
| bbnam.bf | 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.dot | 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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Details
| Date | 2016-07-23 |
| License | GPL (>= 2) |
| URL | http://www.statnet.org |
| NeedsCompilation | yes |
| Packaged | 2016-08-06 00:48:44 UTC; buttsc |
| Repository | CRAN |
| Date/Publication | 2016-08-08 09:36:22 |
| depends | network , R (>= 2.0.0) , statnet.common , utils |
| suggests | numDeriv , rgl , SparseM |
| Contributors | Carter Butts |
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