A B C D E F G H I K L M N O P R S T U V W misc

igraph-package | The igraph package |

add.edges | Method for structural manipulation of graphs |

add.vertex.shape | Various vertex shapes when plotting igraph graphs |

add.vertices | Method for structural manipulation of graphs |

aging.ba.game | Generate an evolving random graph with preferential attachment and aging |

aging.barabasi.game | Generate an evolving random graph with preferential attachment and aging |

aging.prefatt.game | Generate an evolving random graph with preferential attachment and aging |

algorithm | Functions to deal with the result of network community detection |

alpha.centrality | Find Bonacich alpha centrality scores of network positions |

are.connected | Gaining information about graph structure |

arpack | ARPACK eigenvector calculation |

arpack-options | ARPACK eigenvector calculation |

arpack.unpack.complex | ARPACK eigenvector calculation |

articulation.points | Articulation points of a graph |

as.dendrogram.communities | Functions to deal with the result of network community detection |

as.directed | Convert between directed and undirected graphs |

as.hclust.communities | Functions to deal with the result of network community detection |

as.igraph | Conversion to igraph |

as.igraph.igraphHRG | Conversion to igraph |

as.undirected | Convert between directed and undirected graphs |

asPhylo | Functions to deal with the result of network community detection |

asPhylo.communities | Functions to deal with the result of network community detection |

assortativity | Assortativity coefficient |

assortativity.degree | Assortativity coefficient |

assortativity.nominal | Assortativity coefficient |

asymmetric.preference.game | Trait-based random generation |

attribute.combination | How igraph functions handle attributes when the graph changes |

attributes | Graph, vertex and edge attributes |

authority.score | Kleinberg's centrality scores. |

autocurve.edges | Optimal edge curvature when plotting graphs |

average.path.length | Shortest (directed or undirected) paths between vertices |

ba.game | Generate scale-free graphs according to the Barabasi-Albert model |

barabasi.game | Generate scale-free graphs according to the Barabasi-Albert model |

betweenness | Vertex and edge betweenness centrality |

betweenness.estimate | Vertex and edge betweenness centrality |

bibcoupling | Cocitation coupling |

biconnected.components | Biconnected components |

bipartite.mapping | Decide whether a graph is bipartite |

bipartite.projection | Project a bipartite graph |

bipartite.projection.size | Project a bipartite graph |

blockGraphs | Calculate Cohesive Blocks |

blocks | Calculate Cohesive Blocks |

bonpow | Find Bonacich Power Centrality Scores of Network Positions |

callaway.traits.game | Graph generation based on different vertex types |

canonical.permutation | Canonical permutation of a graph |

centralization | Centralization of a graph.tmax |

centralization.betweenness | Centralization of a graph.tmax |

centralization.betweenness.tmax | Centralization of a graph.tmax |

centralization.closeness | Centralization of a graph.tmax |

centralization.closeness.tmax | Centralization of a graph.tmax |

centralization.degree | Centralization of a graph.tmax |

centralization.degree.tmax | Centralization of a graph.tmax |

centralization.evcent | Centralization of a graph.tmax |

centralization.evcent.tmax | Centralization of a graph.tmax |

centralize.scores | Centralization of a graph.tmax |

cited.type.game | Undocumented and unsupportted igraph functions |

citing.cited.type.game | Undocumented and unsupportted igraph functions |

clique.number | The functions find cliques, ie. complete subgraphs in a graph |

cliques | The functions find cliques, ie. complete subgraphs in a graph |

closeness | Closeness centrality of vertices |

closeness.estimate | Closeness centrality of vertices |

cluster.distribution | Connected components of a graph |

clusters | Connected components of a graph |

cocitation | Cocitation coupling |

code.length | Functions to deal with the result of network community detection |

cohesion | Calculate Cohesive Blocks |

cohesive.blocks | Calculate Cohesive Blocks |

cohesiveBlocks | Calculate Cohesive Blocks |

communities | Functions to deal with the result of network community detection |

community.le.to.membership | Community structure detecting based on the leading eigenvector of the community matrix |

community.to.membership | Common functions supporting community detection algorithms |

compare | Compares community structures using various metrics |

compare.communities | Compares community structures using various metrics |

compare.numeric | Compares community structures using various metrics |

connect.neighborhood | Neighborhood of graph vertices |

constraint | Burt's constraint |

contract.vertices | Contract several vertices into a single one |

convex.hull | Convex hull of a set of vertices |

count.multiple | Find the multiple or loop edges in a graph |

crossing | Functions to deal with the result of network community detection |

cutat | Functions to deal with the result of network community detection |

decompose.graph | Decompose a graph into components |

degree | Degree and degree distribution of the vertices |

degree.distribution | Degree and degree distribution of the vertices |

degree.sequence.game | Generate random graphs with a given degree sequence |

delete.edges | Method for structural manipulation of graphs |

delete.vertices | Method for structural manipulation of graphs |

dendPlot | Plot dendrograms |

dendPlot.communities | Community structure dendrogram plots |

dendPlot.igraphHRG | HRG dendrogram plot |

diameter | Diameter of a graph |

DL | Reading foreign file formats |

dominator.tree | Dominator tree |

dyad.census | Dyad census of a graph |

E | Vertex and edge sequences and iterators |

E<- | Vertex and edge sequences and iterators |

eccentricity | Eccentricity and radius |

ecount | Gaining information about graph structure |

edge | Method for structural manipulation of graphs |

edge.betweenness | Vertex and edge betweenness centrality |

edge.betweenness.community | Community structure detection based on edge betweenness |

edge.betweenness.community.merges | Community structure detection based on edge betweenness |

edge.betweenness.estimate | Vertex and edge betweenness centrality |

edge.connectivity | Edge connectivity. |

edge.disjoint.paths | Edge connectivity. |

edges | Method for structural manipulation of graphs |

erdos.renyi.game | Generate random graphs according to the Erdos-Renyi model |

establishment.game | Graph generation based on different vertex types |

evcent | Find Eigenvector Centrality Scores of Network Positions |

evolver | Measuring the driving force in evolving networks |

evolver.d | Measuring the driving force in evolving networks |

exportPajek | Calculate Cohesive Blocks |

farthest.nodes | Diameter of a graph |

fastgreedy.community | Community structure via greedy optimization of modularity |

forest.fire.game | Forest Fire Network Model |

get.adjacency | Convert a graph to an adjacency matrix or an edge list |

get.adjedgelist | Adjacency lists |

get.adjlist | Adjacency lists |

get.all.shortest.paths | Shortest (directed or undirected) paths between vertices |

get.data.frame | Creating igraph graphs from data frames or vice-versa |

get.diameter | Diameter of a graph |

get.edge | Gaining information about graph structure |

get.edge.attribute | Graph, vertex and edge attributes |

get.edge.ids | Find the edge ids based on the incident vertices of the edges |

get.edgelist | Convert a graph to an adjacency matrix or an edge list |

get.edges | Gaining information about graph structure |

get.graph.attribute | Graph, vertex and edge attributes |

get.incidence | Incidence matrix of a bipartite graph |

get.shortest.paths | Shortest (directed or undirected) paths between vertices |

get.stochastic | Stochastic matrix of a graph |

get.vertex.attribute | Graph, vertex and edge attributes |

getIgraphOpt | Parameters for the igraph package |

girth | Girth of a graph |

GML | Reading foreign file formats |

graph | Various methods for creating graphs |

graph.adhesion | Edge connectivity. |

graph.adjacency | Create graphs from adjacency matrices |

graph.adjlist | Create graphs from adjacency lists |

graph.atlas | Various methods for creating graphs |

graph.automorphisms | Number of automorphisms |

graph.bfs | Breadth-first search |

graph.bipartite | Create a bipartite graph |

graph.cohesion | Vertex connectivity. |

graph.complementer | Graph operators |

graph.compose | Graph operators |

graph.constructors | Various methods for creating graphs |

graph.coreness | K-core decomposition of graphs |

graph.count.isomorphisms.vf2 | Graph Isomorphism |

graph.count.subisomorphisms.vf2 | Graph Isomorphism |

graph.data.frame | Creating igraph graphs from data frames or vice-versa |

graph.de.bruijn | De Bruijn graphs. |

graph.density | Graph density |

graph.dfs | Depth-first search |

graph.difference | Graph operators |

graph.difference.by.name | Graph operators based on symbolic vertex names |

graph.disjoint.union | Graph operators |

graph.diversity | Graph diversity |

graph.edgelist | Various methods for creating graphs |

graph.empty | Various methods for creating graphs |

graph.extended.chordal.ring | Various methods for creating graphs |

graph.famous | Creating named graphs |

graph.formula | Creating (small) graphs via a simple interface |

graph.full | Various methods for creating graphs |

graph.full.bipartite | Create a full bipartite graph |

graph.full.citation | Various methods for creating graphs |

graph.get.isomorphisms.vf2 | Graph Isomorphism |

graph.get.subisomorphisms.vf2 | Graph Isomorphism |

graph.graphdb | Load a graph from the graph database for testing graph isomorphism. |

graph.incidence | Create graphs from an incidence matrix |

graph.intersection | Graph operators |

graph.intersection.by.name | Graph operators based on symbolic vertex names |

graph.isoclass | Graph Isomorphism |

graph.isoclass.subgraph | Graph Isomorphism |

graph.isocreate | Graph Isomorphism |

graph.isomorphic | Graph Isomorphism |

graph.isomorphic.34 | Graph Isomorphism |

graph.isomorphic.bliss | Graph Isomorphism |

graph.isomorphic.vf2 | Graph Isomorphism |

graph.kautz | Kautz graphs |

graph.knn | Average nearest neighbor degree |

graph.laplacian | Graph Laplacian |

graph.lattice | Various methods for creating graphs |

graph.lcf | Creating a graph from LCF notation |

graph.maxflow | Maximum flow in a network |

graph.mincut | Maximum flow in a network |

graph.motifs | Graph motifs |

graph.motifs.est | Graph motifs |

graph.motifs.no | Graph motifs |

graph.neighborhood | Neighborhood of graph vertices |

graph.ring | Various methods for creating graphs |

graph.star | Various methods for creating graphs |

graph.strength | Strength or weighted vertex degree |

graph.subisomorphic.vf2 | Graph Isomorphism |

graph.tree | Various methods for creating graphs |

graph.union | Graph operators |

graph.union.by.name | Graph operators based on symbolic vertex names |

GraphML | Reading foreign file formats |

grg.game | Geometric random graphs |

growing.random.game | Growing random graph generation |

has.multiple | Find the multiple or loop edges in a graph |

hierarchy | Calculate Cohesive Blocks |

HRG | Hierarchical random graphs |

hrg.consensus | Hierarchical random graphs |

hrg.create | Hierarchical random graphs |

hrg.dendrogram | Hierarchical random graphs |

hrg.fit | Hierarchical random graphs |

hrg.game | Hierarchical random graphs |

hrg.predict | Hierarchical random graphs |

hub.score | Kleinberg's centrality scores. |

igraph | The igraph package |

igraph.arpack.default | ARPACK eigenvector calculation |

igraph.console | The igraph console |

igraph.drl.coarsen | The DrL graph layout generator |

igraph.drl.coarsest | The DrL graph layout generator |

igraph.drl.default | The DrL graph layout generator |

igraph.drl.final | The DrL graph layout generator |

igraph.drl.refine | The DrL graph layout generator |

igraph.from.graphNEL | Convert igraph graphs to graphNEL objects or back |

igraph.options | Parameters for the igraph package |

igraph.par | Parameters for the igraph package |

igraph.plotting | Drawing graphs |

igraph.sample | Sampling a random integer sequence |

igraph.shape.noclip | Various vertex shapes when plotting igraph graphs |

igraph.shape.noplot | Various vertex shapes when plotting igraph graphs |

igraph.to.graphNEL | Convert igraph graphs to graphNEL objects or back |

igraph.vertex.shapes | Various vertex shapes when plotting igraph graphs |

igraphdemo | Run igraph demos, step by step |

incident | Gaining information about graph structure |

independence.number | Independent vertex sets |

independent.vertex.sets | Independent vertex sets |

induced.subgraph | Subgraph of a graph |

infomap.community | Infomap community finding |

interconnected.islands.game | A graph with subgraphs that are each a random graph. |

is.bipartite | Create a bipartite graph |

is.chordal | Chordality of a graph |

is.connected | Connected components of a graph |

is.dag | Directed acyclic graphs |

is.degree.sequence | Degree sequences of graphs |

is.directed | Gaining information about graph structure |

is.graphical.degree.sequence | Degree sequences of graphs |

is.hierarchical | Functions to deal with the result of network community detection |

is.igraph | Is this object a graph? |

is.loop | Find the multiple or loop edges in a graph |

is.matching | Graph matching |

is.maximal.matching | Graph matching |

is.minimal.separator | Vertex separators |

is.multiple | Find the multiple or loop edges in a graph |

is.mutual | Find mutual edges in a directed graph |

is.named | Named graphs |

is.separator | Vertex separators |

is.simple | Simple graphs |

is.weighted | Weighted graphs |

iterators | Vertex and edge sequences and iterators |

k.regular.game | Create a random regular graph |

label.propagation.community | Finding communities based on propagating labels |

largest.cliques | The functions find cliques, ie. complete subgraphs in a graph |

largest.independent.vertex.sets | Independent vertex sets |

lastcit.game | Undocumented and unsupportted igraph functions |

layout | Generate coordinates for plotting graphs |

layout.auto | Generate coordinates for plotting graphs |

layout.circle | Generate coordinates for plotting graphs |

layout.drl | The DrL graph layout generator |

layout.fruchterman.reingold | Generate coordinates for plotting graphs |

layout.fruchterman.reingold.grid | Generate coordinates for plotting graphs |

layout.graphopt | Generate coordinates for plotting graphs |

layout.grid | Simple grid layout |

layout.grid.3d | Simple grid layout |

layout.kamada.kawai | Generate coordinates for plotting graphs |

layout.lgl | Generate coordinates for plotting graphs |

layout.mds | Graph layout by multidimensional scaling |

layout.merge | Merging graph layouts |

layout.norm | Generate coordinates for plotting graphs |

layout.random | Generate coordinates for plotting graphs |

layout.reingold.tilford | Generate coordinates for plotting graphs |

layout.sphere | Generate coordinates for plotting graphs |

layout.spring | Generate coordinates for plotting graphs |

layout.star | Generate coordinates to place the vertices of a graph in a star-shape |

layout.sugiyama | The Sugiyama graph layout generator |

layout.svd | Generate coordinates for plotting graphs |

leading.eigenvector.community | Community structure detecting based on the leading eigenvector of the community matrix |

length.cohesiveBlocks | Calculate Cohesive Blocks |

length.communities | Functions to deal with the result of network community detection |

LGL | Reading foreign file formats |

line.graph | Line graph of a graph |

list.edge.attributes | Graph, vertex and edge attributes |

list.graph.attributes | Graph, vertex and edge attributes |

list.vertex.attributes | Graph, vertex and edge attributes |

maxcohesion | Calculate Cohesive Blocks |

maximal.cliques | The functions find cliques, ie. complete subgraphs in a graph |

maximal.independent.vertex.sets | Independent vertex sets |

maximum.bipartite.matching | Graph matching |

maximum.cardinality.search | Maximum cardinality search |

membership | Functions to deal with the result of network community detection |

merges | Functions to deal with the result of network community detection |

minimal.st.separators | Minimum size vertex separators |

minimum.size.separators | Minimum size vertex separators |

minimum.spanning.tree | Minimum spanning tree |

modularity | Modularity of a community structure of a graph |

modularity.communities | Functions to deal with the result of network community detection |

modularity.igraph | Modularity of a community structure of a graph |

multilevel.community | Finding community structure by multi-level optimization of modularity |

neighborhood | Neighborhood of graph vertices |

neighborhood.size | Neighborhood of graph vertices |

neighbors | Gaining information about graph structure |

nexus | Query and download from the Nexus network repository |

nexus.get | Query and download from the Nexus network repository |

nexus.info | Query and download from the Nexus network repository |

nexus.list | Query and download from the Nexus network repository |

nexus.search | Query and download from the Nexus network repository |

nexusDatasetInfo | Query and download from the Nexus network repository |

no.clusters | Connected components of a graph |

optimal.community | Optimal community structure |

page.rank | The Page Rank algorithm |

page.rank.old | The Page Rank algorithm |

Pajek | Reading foreign file formats |

parent | Calculate Cohesive Blocks |

path | Method for structural manipulation of graphs |

path.length.hist | Shortest (directed or undirected) paths between vertices |

permute.vertices | Permute the vertices of a graph |

piecewise.layout | Merging graph layouts |

plot.cohesiveBlocks | Calculate Cohesive Blocks |

plot.communities | Functions to deal with the result of network community detection |

plot.igraph | Plotting of graphs |

plotHierarchy | Calculate Cohesive Blocks |

power.law.fit | Fitting a power-law distribution function to discrete data |

preference.game | Trait-based random generation |

print.cohesiveBlocks | Calculate Cohesive Blocks |

print.communities | Functions to deal with the result of network community detection |

print.igraph | Print graphs to the terminal |

print.igraph.es | Vertex and edge sequences and iterators |

print.igraph.vs | Vertex and edge sequences and iterators |

print.igraphHRG | Hierarchical random graphs |

print.igraphHRGConsensus | Hierarchical random graphs |

print.nexusDatasetInfo | Query and download from the Nexus network repository |

print.nexusDatasetInfoList | Query and download from the Nexus network repository |

radius | Eccentricity and radius |

random.graph.game | Generate random graphs according to the Erdos-Renyi model |

read.graph | Reading foreign file formats |

reciprocity | Reciprocity of graphs |

remove.edge.attribute | Graph, vertex and edge attributes |

remove.graph.attribute | Graph, vertex and edge attributes |

remove.vertex.attribute | Graph, vertex and edge attributes |

revolver | Measuring the driving force in evolving networks |

revolver.ad | Measuring the driving force in evolving networks |

revolver.ade | Measuring the driving force in evolving networks |

revolver.adi | Measuring the driving force in evolving networks |

revolver.air | Measuring the driving force in evolving networks |

revolver.ar | Measuring the driving force in evolving networks |

revolver.d | Measuring the driving force in evolving networks |

revolver.d.d | Measuring the driving force in evolving networks |

revolver.de | Measuring the driving force in evolving networks |

revolver.di | Measuring the driving force in evolving networks |

revolver.dl | Measuring the driving force in evolving networks |

revolver.e | Measuring the driving force in evolving networks |

revolver.el | Measuring the driving force in evolving networks |

revolver.error.ad | Measuring the driving force in evolving networks |

revolver.error.ade | Measuring the driving force in evolving networks |

revolver.error.adi | Measuring the driving force in evolving networks |

revolver.error.air | Measuring the driving force in evolving networks |

revolver.error.ar | Measuring the driving force in evolving networks |

revolver.error.d | Measuring the driving force in evolving networks |

revolver.error.de | Measuring the driving force in evolving networks |

revolver.error.di | Measuring the driving force in evolving networks |

revolver.error.dl | Measuring the driving force in evolving networks |

revolver.error.e | Measuring the driving force in evolving networks |

revolver.error.el | Measuring the driving force in evolving networks |

revolver.error.il | Measuring the driving force in evolving networks |

revolver.error.ir | Measuring the driving force in evolving networks |

revolver.error.l | Measuring the driving force in evolving networks |

revolver.error.r | Measuring the driving force in evolving networks |

revolver.il | Measuring the driving force in evolving networks |

revolver.ir | Measuring the driving force in evolving networks |

revolver.l | Measuring the driving force in evolving networks |

revolver.ml.ad | Measuring the driving force in evolving networks |

revolver.ml.AD.alpha.a.beta | Measuring the driving force in evolving networks |

revolver.ml.AD.dpareto | Measuring the driving force in evolving networks |

revolver.ml.AD.dpareto.eval | Measuring the driving force in evolving networks |

revolver.ml.ade | Measuring the driving force in evolving networks |

revolver.ml.ADE.alpha.a.beta | Measuring the driving force in evolving networks |

revolver.ml.ADE.dpareto | Measuring the driving force in evolving networks |

revolver.ml.ADE.dpareto.eval | Measuring the driving force in evolving networks |

revolver.ml.ADE.dpareto.evalf | Measuring the driving force in evolving networks |

revolver.ml.d | Measuring the driving force in evolving networks |

revolver.ml.D.alpha | Measuring the driving force in evolving networks |

revolver.ml.D.alpha.a | Measuring the driving force in evolving networks |

revolver.ml.de | Measuring the driving force in evolving networks |

revolver.ml.DE.alpha.a | Measuring the driving force in evolving networks |

revolver.ml.df | Measuring the driving force in evolving networks |

revolver.ml.f | Measuring the driving force in evolving networks |

revolver.ml.l | Measuring the driving force in evolving networks |

revolver.p.p | Measuring the driving force in evolving networks |

revolver.probs.ad | Measuring the driving force in evolving networks |

revolver.probs.ade | Measuring the driving force in evolving networks |

revolver.probs.ADE.dpareto | Measuring the driving force in evolving networks |

revolver.probs.d | Measuring the driving force in evolving networks |

revolver.probs.de | Measuring the driving force in evolving networks |

revolver.r | Measuring the driving force in evolving networks |

rewire | Graph rewiring |

rewire.edges | Rewires the endpoints of the edges of a graph randomly |

rglplot | 3D plotting of graphs with OpenGL |

rglplot.igraph | 3D plotting of graphs with OpenGL |

running.mean | Running mean of a time series |

SCG | Spectral Coarse Graining |

scg | All-in-one Function for the SCG of Matrices and Graphs |

scgGrouping | SCG Problem Solver |

scgNormEps | SCG Extra Functions |

scgSemiProjectors | Semi-Projectors |

set.edge.attribute | Graph, vertex and edge attributes |

set.graph.attribute | Graph, vertex and edge attributes |

set.vertex.attribute | Graph, vertex and edge attributes |

shortest.paths | Shortest (directed or undirected) paths between vertices |

showtrace | Functions to deal with the result of network community detection |

similarity.dice | Similarity measures of two vertices |

similarity.invlogweighted | Similarity measures of two vertices |

similarity.jaccard | Similarity measures of two vertices |

simplify | Simple graphs |

sizes | Functions to deal with the result of network community detection |

spinglass.community | Finding communities in graphs based on statistical meachanics |

static.fitness.game | Random graphs from vertex fitness scores |

static.power.law.game | Scale-free random graphs, from vertex fitness scores |

stCuts | List all (s,t)-cuts of a graph |

stMincuts | List all minimum (s,t)-cuts of a graph |

str.igraph | Print graphs to the terminal |

subcomponent | In- or out- component of a vertex |

subgraph | Subgraph of a graph |

subgraph.centrality | Find subgraph centrality scores of network positions |

subgraph.edges | Subgraph of a graph |

summary.cohesiveBlocks | Calculate Cohesive Blocks |

summary.igraph | Print graphs to the terminal |

summary.nexusDatasetInfoList | Query and download from the Nexus network repository |

tkigraph | Experimental basic igraph GUI |

tkplot | Interactive plotting of graphs |

tkplot.center | Interactive plotting of graphs |

tkplot.close | Interactive plotting of graphs |

tkplot.export.postscript | Interactive plotting of graphs |

tkplot.fit.to.screen | Interactive plotting of graphs |

tkplot.getcoords | Interactive plotting of graphs |

tkplot.off | Interactive plotting of graphs |

tkplot.reshape | Interactive plotting of graphs |

tkplot.rotate | Interactive plotting of graphs |

topological.sort | Topological sorting of vertices in a graph |

transitivity | Transitivity of a graph |

triad.census | Triad census, subgraphs with three vertices |

UCINET | Reading foreign file formats |

unfold.tree | Convert a general graph into a forest |

V | Vertex and edge sequences and iterators |

V<- | Vertex and edge sequences and iterators |

vcount | Gaining information about graph structure |

vertex | Method for structural manipulation of graphs |

vertex.connectivity | Vertex connectivity. |

vertex.disjoint.paths | Vertex connectivity. |

vertex.shape.pie | Using pie charts as vertices in graph plots |

vertex.shapes | Various vertex shapes when plotting igraph graphs |

vertices | Method for structural manipulation of graphs |

walktrap.community | Community strucure via short random walks |

watts.strogatz.game | The Watts-Strogatz small-world model |

write.graph | Writing the graph to a file in some format |

$.igraph.es | Vertex and edge sequences and iterators |

$.igraph.vs | Vertex and edge sequences and iterators |

$<-.igraph.es | Vertex and edge sequences and iterators |

$<-.igraph.vs | Vertex and edge sequences and iterators |

%--% | Vertex and edge sequences and iterators |

%->% | Vertex and edge sequences and iterators |

%<-% | Vertex and edge sequences and iterators |

%c% | Graph operators |

%du% | Graph operators |

%m% | Graph operators |

%s% | Graph operators |

%u% | Graph operators |

+.igraph | Method for structural manipulation of graphs |

-.igraph | Method for structural manipulation of graphs |

[.igraph | Method for structural manipulation of graphs |

[.igraph.es | Vertex and edge sequences and iterators |

[.igraph.vs | Vertex and edge sequences and iterators |

[<-.igraph | Method for structural manipulation of graphs |

[<-.igraph.es | Vertex and edge sequences and iterators |

[<-.igraph.vs | Vertex and edge sequences and iterators |

[[.igraph | Method for structural manipulation of graphs |