Use this if you are using igraph from R

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

igraph-package | The igraph package |

add.edges | Add edges to a graph |

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

add.vertices | Add vertices to a graph |

add_edges | Add edges to a graph |

add_layout_ | Add layout to graph |

add_shape | Various vertex shapes when plotting igraph graphs |

add_vertices | Add vertices to a graph |

adhesion | Edge connectivity. |

adjacent.triangles | Find triangles in graphs |

adjacent_vertices | Adjacent vertices of multiple vertices in a graph |

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 |

all_shortest_paths | Shortest (directed or undirected) paths between vertices |

all_simple_paths | List all simple paths from one source |

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

alpha_centrality | Find Bonacich alpha centrality scores of network positions |

any_multiple | Find the multiple or loop edges in a graph |

are.connected | Are two vertices adjacent? |

are_adjacent | Are two vertices adjacent? |

arpack | ARPACK eigenvector calculation |

arpack-options | ARPACK eigenvector calculation |

arpack.unpack.complex | ARPACK eigenvector calculation |

arpack_defaults | ARPACK eigenvector calculation |

articulation.points | Articulation points of a graph |

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 |

assortativity_degree | Assortativity coefficient |

assortativity_nominal | Assortativity coefficient |

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

asym_pref | Trait-based random generation |

as_adj | Convert a graph to an adjacency matrix |

as_adjacency_matrix | Convert a graph to an adjacency matrix |

as_adj_edge_list | Adjacency lists |

as_adj_list | Adjacency lists |

as_bipartite | Simple two-row layout for bipartite graphs |

as_data_frame | Creating igraph graphs from data frames or vice-versa |

as_edgelist | Convert a graph to an edge list |

as_graphnel | Convert igraph graphs to graphNEL objects from the graph package |

as_ids | Convert a vertex or edge sequence to an ordinary vector |

as_ids.igraph.es | Convert a vertex or edge sequence to an ordinary vector |

as_ids.igraph.vs | Convert a vertex or edge sequence to an ordinary vector |

as_incidence_matrix | Incidence matrix of a bipartite graph |

as_long_data_frame | Convert a graph to a long data frame |

as_membership | Declare a numeric vector as a membership vector |

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

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

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

as_tree | The Reingold-Tilford graph layout algorithm |

atlas | Create a graph from the Graph Atlas |

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

attributes | List names of graph attributes |

authority.score | Kleinberg's authority centrality scores. |

authority_score | Kleinberg's authority centrality scores. |

autocurve.edges | Optimal edge curvature when plotting graphs |

automorphisms | Number of automorphisms |

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 |

bfs | Breadth-first search |

bibcoupling | Cocitation coupling |

biconnected.components | Biconnected components |

biconnected_components | Biconnected components |

bipartite | Bipartite random graphs |

bipartite.mapping | Decide whether a graph is bipartite |

bipartite.projection | Project a bipartite graph |

bipartite.projection.size | Project a bipartite graph |

bipartite.random.game | Bipartite random graphs |

bipartite_graph | Create a bipartite graph |

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 |

c.igraph.es | Concatenate edge sequences |

c.igraph.vs | Concatenate vertex sequences |

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

canonical.permutation | Canonical permutation of a graph |

canonical_permutation | Canonical permutation of a graph |

categorical_pal | Palette for categories |

centralization | Centralization of a graph |

centralization.betweenness | Centralize a graph according to the betweenness of vertices |

centralization.betweenness.tmax | Theoretical maximum for betweenness centralization |

centralization.closeness | Centralize a graph according to the closeness of vertices |

centralization.closeness.tmax | Theoretical maximum for closeness centralization |

centralization.degree | Centralize a graph according to the degrees of vertices |

centralization.degree.tmax | Theoretical maximum for degree centralization |

centralization.evcent | Centralize a graph according to the eigenvector centrality of vertices |

centralization.evcent.tmax | Theoretical maximum for betweenness centralization |

centralize | Centralization of a graph |

centralize.scores | Centralization of a graph |

centr_betw | Centralize a graph according to the betweenness of vertices |

centr_betw_tmax | Theoretical maximum for betweenness centralization |

centr_clo | Centralize a graph according to the closeness of vertices |

centr_clo_tmax | Theoretical maximum for closeness centralization |

centr_degree | Centralize a graph according to the degrees of vertices |

centr_degree_tmax | Theoretical maximum for degree centralization |

centr_eigen | Centralize a graph according to the eigenvector centrality of vertices |

centr_eigen_tmax | Theoretical maximum for betweenness centralization |

chordal_ring | Create an extended chordal ring graph |

cited.type.game | Random citation graphs |

citing.cited.type.game | Random citation graphs |

cit_cit_types | Random citation graphs |

cit_types | Random citation graphs |

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

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

clique_num | 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 |

cluster_edge_betweenness | Community structure detection based on edge betweenness |

cluster_fast_greedy | Community structure via greedy optimization of modularity |

cluster_infomap | Infomap community finding |

cluster_label_prop | Finding communities based on propagating labels |

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

cluster_louvain | Finding community structure by multi-level optimization of modularity |

cluster_optimal | Optimal community structure |

cluster_spinglass | Finding communities in graphs based on statistical meachanics |

cluster_walktrap | Community strucure via short random walks |

cocitation | Cocitation coupling |

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

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

cohesion | Vertex connectivity. |

cohesion.cohesiveBlocks | Calculate Cohesive Blocks |

cohesion.igraph | Vertex connectivity. |

cohesive.blocks | Calculate Cohesive Blocks |

cohesiveBlocks | Calculate Cohesive Blocks |

cohesive_blocks | Calculate Cohesive Blocks |

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

compare | Compares community structures using various metrics |

compare.communities | Compares community structures using various metrics |

compare.membership | Compares community structures using various metrics |

complementer | Complementer of a graph |

components | Connected components of a graph |

component_distribution | Connected components of a graph |

component_wise | Component-wise layout |

compose | Compose two graphs as binary relations |

connect | Neighborhood of graph vertices |

connect.neighborhood | Neighborhood of graph vertices |

consensus_tree | Create a consensus tree from several hierarchical random graph models |

console | The igraph console |

constraint | Burt's constraint |

contract | Contract several vertices into a single one |

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

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

convex_hull | Convex hull of a set of vertices |

coreness | K-core decomposition of graphs |

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

count_components | Connected components of a graph |

count_isomorphisms | Count the number of isomorphic mappings between two graphs |

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

count_motifs | Graph motifs |

count_multiple | Find the multiple or loop edges in a graph |

count_subgraph_isomorphisms | Count the isomorphic mappings between a graph and the subgraphs of another graph |

count_triangles | Find triangles in graphs |

create.communities | Creates a communities object. |

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

curve_multiple | Optimal edge curvature when plotting graphs |

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

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

decompose | Decompose a graph into components |

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 |

degree_distribution | Degree and degree distribution of the vertices |

degseq | Generate random graphs with a given degree sequence |

delete.edges | Delete edges from a graph |

delete.vertices | Delete vertices from a graph |

delete_edges | Delete edges from a graph |

delete_edge_attr | Delete an edge attribute |

delete_graph_attr | Delete a graph attribute |

delete_vertex_attr | Delete a vertex attribute |

delete_vertices | Delete vertices from a graph |

dendPlot | Community structure dendrogram plots |

de_bruijn_graph | De Bruijn graphs |

dfs | Depth-first search |

diameter | Diameter of a graph |

difference | Difference of two sets |

difference.igraph | Difference of graphs |

difference.igraph.es | Difference of edge sequences |

difference.igraph.vs | Difference of vertex sequences |

dim_select | Dimensionality selection for singular values using profile likelihood. |

directed_graph | Create an igraph graph from a list of edges, or a notable graph |

disjoint_union | Disjoint union of graphs |

distances | Shortest (directed or undirected) paths between vertices |

distance_table | Shortest (directed or undirected) paths between vertices |

diverging_pal | Diverging palette |

diversity | Graph diversity |

DL | Reading foreign file formats |

dominator.tree | Dominator tree |

dominator_tree | Dominator tree |

dot_product | Generate random graphs according to the random dot product graph model |

drl_defaults | The DrL graph layout generator |

dyad.census | Dyad census of a graph |

dyad_census | Dyad census of a graph |

E | Edges of a graph |

E<- | Query or set attributes of the edges in an edge sequence |

each_edge | Rewires the endpoints of the edges of a graph to a random vertex |

eccentricity | Eccentricity of the vertices in a graph |

ecount | The size of the graph (number of edges) |

edge | Helper function for adding and deleting edges |

edge.attributes | Query edge attributes of a graph |

edge.attributes<- | Set one or more edge attributes |

edge.betweenness | Vertex and edge betweenness centrality |

edge.betweenness.community | 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 | Helper function for adding and deleting edges |

edge_attr | Query edge attributes of a graph |

edge_attr<- | Set one or more edge attributes |

edge_attr_names | List names of edge attributes |

edge_betweenness | Vertex and edge betweenness centrality |

edge_connectivity | Edge connectivity. |

edge_density | Graph density |

edge_disjoint_paths | Edge connectivity. |

ego | Neighborhood of graph vertices |

ego_graph | Neighborhood of graph vertices |

ego_size | Neighborhood of graph vertices |

eigen_centrality | Find Eigenvector Centrality Scores of Network Positions |

embed_adjacency_matrix | Spectral Embedding of Adjacency Matrices |

embed_laplacian_matrix | Spectral Embedding of the Laplacian of a Graph |

empty_graph | A graph with no edges |

ends | Incident vertices of some graph edges |

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

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

estimate_betweenness | Vertex and edge betweenness centrality |

estimate_closeness | Closeness centrality of vertices |

estimate_edge_betweenness | Vertex and edge betweenness centrality |

evcent | Find Eigenvector Centrality Scores of Network Positions |

exportPajek | Calculate Cohesive Blocks |

export_pajek | Calculate Cohesive Blocks |

farthest.nodes | Diameter of a graph |

farthest_vertices | Diameter of a graph |

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

fit_hrg | Fit a hierarchical random graph model |

fit_power_law | Fitting a power-law distribution function to discrete data |

forest.fire.game | Forest Fire Network Model |

from_adjacency | Create graphs from adjacency matrices |

from_data_frame | Creating igraph graphs from data frames or vice-versa |

from_edgelist | Create a graph from an edge list matrix |

from_incidence_matrix | Create graphs from an incidence matrix |

from_literal | Creating (small) graphs via a simple interface |

full_bipartite_graph | Create a full bipartite graph |

full_citation_graph | Create a complete (full) citation graph |

full_graph | Create a full graph |

gclust.app | Graph Clustering Using NMF (and no SVT) - Apparent Clusters |

gclust.rsvt | Graph Clustering Using SVT and NMF - Clusters Implied by Singular Value Thresholding |

get.adjacency | Convert a graph to an adjacency matrix |

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 | Incident vertices of some graph edges |

get.edge.attribute | Query edge attributes of a graph |

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

get.edgelist | Convert a graph to an edge list |

get.edges | Incident vertices of some graph edges |

get.graph.attribute | Graph attributes of a graph |

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 | Query vertex attributes of a graph |

getAICc | Compute AIC based on a Poisson Approximation using the output from 'gclust' |

getIgraphOpt | Parameters for the igraph package |

get_diameter | Diameter of a graph |

girth | Girth of a graph |

GML | Reading foreign file formats |

gnm | Generate random graphs according to the G(n,m) Erdos-Renyi model |

gnp | Generate random graphs according to the G(n,p) Erdos-Renyi model |

gorder | Order (number of vertices) of a graph |

graph | Create an igraph graph from a list of edges, or a notable graph |

graph.adhesion | Edge connectivity. |

graph.adjacency | Create graphs from adjacency matrices |

graph.adjlist | Create graphs from adjacency lists |

graph.atlas | Create a graph from the Graph Atlas |

graph.attributes | Graph attributes of a graph |

graph.attributes<- | Set all or some graph attributes |

graph.automorphisms | Number of automorphisms |

graph.bfs | Breadth-first search |

graph.bipartite | Create a bipartite graph |

graph.cohesion | Vertex connectivity. |

graph.complementer | Complementer of a graph |

graph.compose | Compose two graphs as binary relations |

graph.coreness | K-core decomposition of graphs |

graph.count.isomorphisms.vf2 | Count the number of isomorphic mappings between two graphs |

graph.count.subisomorphisms.vf2 | Count the isomorphic mappings between a graph and the subgraphs of another graph |

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 | Difference of graphs |

graph.disjoint.union | Disjoint union of graphs |

graph.diversity | Graph diversity |

graph.edgelist | Create a graph from an edge list matrix |

graph.eigen | Eigenvalues and eigenvectors of the adjacency matrix of a graph |

graph.empty | A graph with no edges |

graph.extended.chordal.ring | Create an extended chordal ring graph |

graph.famous | Create an igraph graph from a list of edges, or a notable graph |

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

graph.full | Create a full graph |

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

graph.full.citation | Create a complete (full) citation graph |

graph.get.isomorphisms.vf2 | Calculate all isomorphic mappings between the vertices of two graphs |

graph.get.subisomorphisms.vf2 | All isomorphic mappings between a graph and subgraphs of another graph |

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

graph.incidence | Create graphs from an incidence matrix |

graph.intersection | Intersection of graphs |

graph.isoclass | Isomorphism class of a graph |

graph.isoclass.subgraph | Isomorphism class of a graph |

graph.isocreate | Create a graph from an isomorphism class |

graph.isomorphic | Decide if two graphs are isomorphic |

graph.isomorphic.34 | Decide if two graphs are isomorphic |

graph.isomorphic.bliss | Decide if two graphs are isomorphic |

graph.isomorphic.vf2 | Decide if two graphs are isomorphic |

graph.kautz | Kautz graphs |

graph.knn | Average nearest neighbor degree |

graph.laplacian | Graph Laplacian |

graph.lattice | Create a lattice graph |

graph.lcf | Creating a graph from LCF notation |

graph.maxflow | Maximum flow in a graph |

graph.mincut | Minimum cut in a graph |

graph.motifs | Graph motifs |

graph.motifs.est | Graph motifs |

graph.motifs.no | Graph motifs |

graph.neighborhood | Neighborhood of graph vertices |

graph.ring | Create a ring graph |

graph.star | Create a star graph, a tree with n vertices and n - 1 leaves |

graph.strength | Strength or weighted vertex degree |

graph.subisomorphic.lad | Decide if a graph is subgraph isomorphic to another one |

graph.subisomorphic.vf2 | Decide if a graph is subgraph isomorphic to another one |

graph.tree | Create tree graphs |

graph.union | Union of graphs |

graphlets | Graphlet decomposition of a graph |

graphlets.candidate.basis | Graphlet decomposition of a graph |

graphlets.project | Graphlet decomposition of a graph |

graphlet_basis | Graphlet decomposition of a graph |

graphlet_proj | Graphlet decomposition of a graph |

GraphML | Reading foreign file formats |

graphs_from_cohesive_blocks | Calculate Cohesive Blocks |

graph_ | Convert object to a graph |

graph_attr | Graph attributes of a graph |

graph_attr<- | Set all or some graph attributes |

graph_attr_names | List names of graph attributes |

graph_from_adjacency_matrix | Create graphs from adjacency matrices |

graph_from_adj_list | Create graphs from adjacency lists |

graph_from_atlas | Create a graph from the Graph Atlas |

graph_from_data_frame | Creating igraph graphs from data frames or vice-versa |

graph_from_edgelist | Create a graph from an edge list matrix |

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

graph_from_graphnel | Convert graphNEL objects from the graph package to igraph |

graph_from_incidence_matrix | Create graphs from an incidence matrix |

graph_from_isomorphism_class | Create a graph from an isomorphism class |

graph_from_lcf | Creating a graph from LCF notation |

graph_from_literal | Creating (small) graphs via a simple interface |

graph_version | Igraph data structure versions |

grg | Geometric random graphs |

grg.game | Geometric random graphs |

groups | Groups of a vertex partitioning |

groups.communities | Groups of a vertex partitioning |

groups.default | Groups of a vertex partitioning |

growing | Growing random graph generation |

growing.random.game | Growing random graph generation |

gsize | The size of the graph (number of edges) |

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

head_of | Head of the edge(s) in a graph |

hierarchical_sbm | Sample the hierarchical stochastic block model |

hierarchy | Calculate Cohesive Blocks |

hrg | Create a hierarchical random graph from an igraph graph |

hrg-methods | Hierarchical random graphs |

hrg.consensus | Create a consensus tree from several hierarchical random graph models |

hrg.create | Create a hierarchical random graph from an igraph graph |

hrg.dendrogram | HRG dendrogram plot |

hrg.fit | Fit a hierarchical random graph model |

hrg.game | Sample from a hierarchical random graph model |

hrg.predict | Predict edges based on a hierarchical random graph model |

hrg_tree | Create an igraph graph from a hierarchical random graph model |

hub.score | Kleinberg's hub centrality scores. |

hub_score | Kleinberg's hub centrality scores. |

identical_graphs | Decide if two graphs are identical |

igraph | The igraph package |

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

igraph-dollar | Getting and setting graph attributes, shortcut |

igraph-es-attributes | Query or set attributes of the edges in an edge sequence |

igraph-es-indexing | Indexing edge sequences |

igraph-es-indexing2 | Select edges and show their metadata |

igraph-minus | Delete vertices or edges from a graph |

igraph-vs-attributes | Query or set attributes of the vertices in a vertex sequence |

igraph-vs-indexing | Indexing vertex sequences |

igraph-vs-indexing2 | Select vertices and show their metadata |

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.eigen.default | Eigenvalues and eigenvectors of the adjacency matrix of a graph |

igraph.from.graphNEL | Convert graphNEL objects from the graph package to igraph |

igraph.options | 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 from the graph package |

igraph.version | Query igraph's version string |

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

igraphdemo | Run igraph demos, step by step |

igraphtest | Run package tests |

igraph_demo | Run igraph demos, step by step |

igraph_opt | Parameters for the igraph package |

igraph_options | Parameters for the igraph package |

igraph_test | Run package tests |

igraph_version | Query igraph's version string |

incident | Incident edges of a vertex in a graph |

incident_edges | Incident edges of multiple vertices in a graph |

independence.number | Independent vertex sets |

independent.vertex.sets | Independent vertex sets |

induced.subgraph | Subgraph of a graph |

induced_subgraph | Subgraph of a graph |

infomap.community | Infomap community finding |

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

intersection | Intersection of two or more sets |

intersection.igraph | Intersection of graphs |

intersection.igraph.es | Intersection of edge sequences |

intersection.igraph.vs | Intersection of vertex sequences |

in_circle | Graph layout with vertices on a circle. |

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 | Check if a degree sequence is valid for a multi-graph |

is.directed | Check whether a graph is directed |

is.graphical.degree.sequence | Is a degree sequence graphical? |

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

is.igraph | Is this object an igraph graph? |

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

is.matching | Graph matching |

is.maximal.matching | Graph matching |

is.minimal.separator | Minumal 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 |

isomorphic | Decide if two graphs are isomorphic |

isomorphisms | Calculate all isomorphic mappings between the vertices of two graphs |

isomorphism_class | Isomorphism class of a 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_degseq | Check if a degree sequence is valid for a multi-graph |

is_directed | Check whether a graph is directed |

is_graphical | Is a degree sequence graphical? |

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

is_igraph | Is this object an igraph graph? |

is_isomorphic_to | Decide if two graphs are isomorphic |

is_matching | Graph matching |

is_max_matching | Graph matching |

is_min_separator | Minumal vertex separators |

is_named | Named graphs |

is_separator | Vertex separators |

is_simple | Simple graphs |

is_subgraph_isomorphic_to | Decide if a graph is subgraph isomorphic to another one |

is_weighted | Weighted graphs |

ivs | Independent vertex sets |

ivs_size | Independent vertex sets |

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

kautz_graph | Kautz graphs |

keeping_degseq | Graph rewiring while preserving the degree distribution |

knn | Average nearest neighbor degree |

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

laplacian_matrix | Graph Laplacian |

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

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

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

largest_ivs | Independent vertex sets |

lastcit.game | Random citation graphs |

last_cit | Random citation graphs |

lattice | Create a lattice graph |

layout | Graph layouts |

layout.auto | Choose an appropriate graph layout algorithm automatically |

layout.bipartite | Simple two-row layout for bipartite graphs |

layout.circle | Deprecated layout functions |

layout.davidson.harel | The Davidson-Harel layout algorithm |

layout.drl | The DrL graph layout generator |

layout.fruchterman.reingold | Deprecated layout functions |

layout.fruchterman.reingold.grid | Grid Fruchterman-Reingold layout, this was removed from igraph |

layout.gem | The GEM layout algorithm |

layout.graphopt | The graphopt layout algorithm |

layout.grid | Simple grid layout |

layout.grid.3d | Simple grid layout |

layout.kamada.kawai | Deprecated layout functions |

layout.lgl | Deprecated layout functions |

layout.mds | Graph layout by multidimensional scaling |

layout.merge | Merging graph layouts |

layout.norm | Normalize coordinates for plotting graphs |

layout.random | Deprecated layout functions |

layout.reingold.tilford | Deprecated layout functions |

layout.sphere | Deprecated layout functions |

layout.spring | Spring layout, this was removed from igraph |

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

layout.sugiyama | The Sugiyama graph layout generator |

layout.svd | SVD layout, this was removed from igraph |

layout_ | Graph layouts |

layout_as_bipartite | Simple two-row layout for bipartite graphs |

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

layout_as_tree | The Reingold-Tilford graph layout algorithm |

layout_components | Merging graph layouts |

layout_in_circle | Graph layout with vertices on a circle. |

layout_nicely | Choose an appropriate graph layout algorithm automatically |

layout_on_grid | Simple grid layout |

layout_on_sphere | Graph layout with vertices on the surface of a sphere |

layout_randomly | Randomly place vertices on a plane or in 3d space |

layout_with_dh | The Davidson-Harel layout algorithm |

layout_with_drl | The DrL graph layout generator |

layout_with_fr | The Fruchterman-Reingold layout algorithm |

layout_with_gem | The GEM layout algorithm |

layout_with_graphopt | The graphopt layout algorithm |

layout_with_kk | The Kamada-Kawai layout algorithm |

layout_with_lgl | Large Graph Layout |

layout_with_mds | Graph layout by multidimensional scaling |

layout_with_sugiyama | The Sugiyama graph layout generator |

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 |

line_graph | Line graph of a graph |

list.edge.attributes | List names of edge attributes |

list.graph.attributes | List names of graph attributes |

list.vertex.attributes | List names of vertex attributes |

local_scan | Compute local scan statistics on graphs |

make_ | Make a new graph |

make_bipartite_graph | Create a bipartite graph |

make_chordal_ring | Create an extended chordal ring graph |

make_clusters | Creates a communities object. |

make_de_bruijn_graph | De Bruijn graphs |

make_directed_graph | Create an igraph graph from a list of edges, or a notable graph |

make_ego_graph | Neighborhood of graph vertices |

make_empty_graph | A graph with no edges |

make_full_bipartite_graph | Create a full bipartite graph |

make_full_citation_graph | Create a complete (full) citation graph |

make_full_graph | Create a full graph |

make_graph | Create an igraph graph from a list of edges, or a notable graph |

make_kautz_graph | Kautz graphs |

make_lattice | Create a lattice graph |

make_line_graph | Line graph of a graph |

make_ring | Create a ring graph |

make_star | Create a star graph, a tree with n vertices and n - 1 leaves |

make_tree | Create tree graphs |

make_undirected_graph | Create an igraph graph from a list of edges, or a notable graph |

match_vertices | Match Graphs given a seeding of vertex correspondences |

maxcohesion | Calculate Cohesive Blocks |

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

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

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

maximal_ivs | Independent vertex sets |

maximum.bipartite.matching | Graph matching |

maximum.cardinality.search | Maximum cardinality search |

max_bipartite_match | Graph matching |

max_cardinality | Maximum cardinality search |

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

max_cohesion | Calculate Cohesive Blocks |

max_flow | Maximum flow in a graph |

mean_distance | Shortest (directed or undirected) paths between vertices |

median.sir | SIR model on graphs |

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

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

merge_coords | Merging graph layouts |

minimal.st.separators | Minimum size vertex separators |

minimum.size.separators | Minimum size vertex separators |

minimum.spanning.tree | Minimum spanning tree |

min_cut | Minimum cut in a graph |

min_separators | Minimum size vertex separators |

min_st_separators | Minimum size vertex separators |

mod.matrix | Modularity of a community structure of a graph |

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 |

modularity_matrix | Modularity of a community structure of a graph |

motifs | Graph motifs |

mst | Minimum spanning tree |

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

neighborhood | Neighborhood of graph vertices |

neighborhood.size | Neighborhood of graph vertices |

neighbors | Neighboring (adjacent) vertices in a graph |

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 |

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 |

nicely | Choose an appropriate graph layout algorithm automatically |

no.clusters | Connected components of a graph |

normalize | Normalize layout |

norm_coords | Normalize coordinates for plotting graphs |

on_grid | Simple grid layout |

on_sphere | Graph layout with vertices on the surface of a sphere |

optimal.community | Optimal community structure |

pa | Generate scale-free graphs according to the Barabasi-Albert model |

page.rank | The Page Rank algorithm |

page.rank.old | The Page Rank algorithm |

page_rank | The Page Rank algorithm |

page_rank_old | The Page Rank algorithm |

Pajek | Reading foreign file formats |

parent | Calculate Cohesive Blocks |

path | Helper function to add or delete edges along a path |

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

pa_age | Generate an evolving random graph with preferential attachment and aging |

permute | Permute the vertices of a graph |

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.graph | Plotting of graphs |

plot.igraph | Plotting of graphs |

plot.sir | Plotting the results on multiple SIR model runs |

plotHierarchy | Calculate Cohesive Blocks |

plot_dendrogram | Community structure dendrogram plots |

plot_dendrogram.communities | Community structure dendrogram plots |

plot_dendrogram.igraphHRG | HRG dendrogram plot |

plot_hierarchy | Calculate Cohesive Blocks |

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

power_centrality | Find Bonacich Power Centrality Scores of Network Positions |

predict_edges | Predict edges based on a hierarchical random graph model |

pref | Trait-based random generation |

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 | Print an edge sequence to the screen |

print.igraph.vs | Show a vertex sequence on the screen |

print.igraphHRG | Print a hierarchical random graph model to the screen |

print.igraphHRGConsensus | Print a hierarchical random graph consensus tree to the screen |

print.igraph_layout_modifier | Graph layouts |

print.igraph_layout_spec | Graph layouts |

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

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

quantile.sir | SIR model on graphs |

radius | Radius of a graph |

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

randomly | Randomly place vertices on a plane or in 3d space |

random_walk | Random walk on a graph |

read.graph | Reading foreign file formats |

read_graph | Reading foreign file formats |

reciprocity | Reciprocity of graphs |

remove.edge.attribute | Delete an edge attribute |

remove.graph.attribute | Delete a graph attribute |

remove.vertex.attribute | Delete a vertex attribute |

rep.igraph | Replicate a graph multiple times |

rev.igraph.es | Reverse the order in an edge sequence |

rev.igraph.vs | Reverse the order in a vertex sequence |

rewire | Rewiring edges of a graph |

rglplot | 3D plotting of graphs with OpenGL |

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

ring | Create a ring graph |

running.mean | Running mean of a time series |

running_mean | Running mean of a time series |

r_pal | The default R palette |

sample_ | Sample from a random graph model |

sample_asym_pref | Trait-based random generation |

sample_bipartite | Bipartite random graphs |

sample_cit_cit_types | Random citation graphs |

sample_cit_types | Random citation graphs |

sample_correlated_gnp | Generate a new random graph from a given graph by randomly adding/removing edges |

sample_correlated_gnp_pair | Sample a pair of correlated G(n,p) random graphs |

sample_degseq | Generate random graphs with a given degree sequence |

sample_dirichlet | Sample from a Dirichlet distribution |

sample_dot_product | Generate random graphs according to the random dot product graph model |

sample_fitness | Random graphs from vertex fitness scores |

sample_fitness_pl | Scale-free random graphs, from vertex fitness scores |

sample_forestfire | Forest Fire Network Model |

sample_gnm | Generate random graphs according to the G(n,m) Erdos-Renyi model |

sample_gnp | Generate random graphs according to the G(n,p) Erdos-Renyi model |

sample_grg | Geometric random graphs |

sample_growing | Growing random graph generation |

sample_hierarchical_sbm | Sample the hierarchical stochastic block model |

sample_hrg | Sample from a hierarchical random graph model |

sample_islands | A graph with subgraphs that are each a random graph. |

sample_k_regular | Create a random regular graph |

sample_last_cit | Random citation graphs |

sample_motifs | Graph motifs |

sample_pa | Generate scale-free graphs according to the Barabasi-Albert model |

sample_pa_age | Generate an evolving random graph with preferential attachment and aging |

sample_pref | Trait-based random generation |

sample_sbm | Sample stochastic block model |

sample_seq | Sampling a random integer sequence |

sample_smallworld | The Watts-Strogatz small-world model |

sample_sphere_surface | Sample vectors uniformly from the surface of a sphere |

sample_sphere_volume | Sample vectors uniformly from the volume of a sphere |

sample_traits | Graph generation based on different vertex types |

sample_traits_callaway | Graph generation based on different vertex types |

sbm | Sample stochastic block model |

sbm.game | Sample stochastic block model |

scan_stat | Scan statistics on a time series of graphs |

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

scg-method | Spectral Coarse Graining |

scgGrouping | SCG Problem Solver |

scgNormEps | Error of the spectral coarse graining (SCG) approximation |

scgSemiProjectors | Semi-Projectors |

scg_eps | Error of the spectral coarse graining (SCG) approximation |

scg_group | SCG Problem Solver |

scg_semi_proj | Semi-Projectors |

seeded.graph.match | Match Graphs given a seeding of vertex correspondences |

sequential_pal | Sequential palette |

set.edge.attribute | Set edge attributes |

set.graph.attribute | Set a graph attribute |

set.vertex.attribute | Set vertex attributes |

set_edge_attr | Set edge attributes |

set_graph_attr | Set a graph attribute |

set_vertex_attr | Set vertex attributes |

shapes | Various vertex shapes when plotting igraph graphs |

shape_noclip | Various vertex shapes when plotting igraph graphs |

shape_noplot | Various vertex shapes when plotting igraph graphs |

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

shortest_paths | Shortest (directed or undirected) paths between vertices |

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

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

similarity | Similarity measures of two vertices |

similarity.dice | Similarity measures of two vertices |

similarity.invlogweighted | Similarity measures of two vertices |

similarity.jaccard | Similarity measures of two vertices |

simplified | Constructor modifier to drop multiple and loop edges |

simplify | Simple graphs |

sir | SIR model on graphs |

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

smallworld | The Watts-Strogatz small-world model |

spectrum | Eigenvalues and eigenvectors of the adjacency matrix of a graph |

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

split_join_distance | Split-join distance of two community structures |

srand | Deprecated function, used to set random seed of the C library's RNG |

star | Create a star graph, a tree with n vertices and n - 1 leaves |

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 |

stochastic_matrix | Stochastic matrix of a graph |

str.igraph | Print graphs to the terminal |

strength | Strength or weighted vertex degree |

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

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

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 |

subgraph_centrality | Find subgraph centrality scores of network positions |

subgraph_isomorphic | Decide if a graph is subgraph isomorphic to another one |

subgraph_isomorphisms | All isomorphic mappings between a graph and subgraphs of another graph |

summary.cohesiveBlocks | Calculate Cohesive Blocks |

summary.igraph | Print graphs to the terminal |

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

tail_of | Tails of the edge(s) in a graph |

time_bins | SIR model on graphs |

time_bins.sir | SIR model on graphs |

tkigraph | Experimental basic igraph GUI |

tkplot | Interactive plotting of graphs |

tkplot.canvas | 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 |

tkplot.setcoords | Interactive plotting of graphs |

tk_canvas | Interactive plotting of graphs |

tk_center | Interactive plotting of graphs |

tk_close | Interactive plotting of graphs |

tk_coords | Interactive plotting of graphs |

tk_fit | Interactive plotting of graphs |

tk_off | Interactive plotting of graphs |

tk_postscript | Interactive plotting of graphs |

tk_reshape | Interactive plotting of graphs |

tk_rotate | Interactive plotting of graphs |

tk_set_coords | Interactive plotting of graphs |

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

topo_sort | Topological sorting of vertices in a graph |

traits | Graph generation based on different vertex types |

traits_callaway | Graph generation based on different vertex types |

transitivity | Transitivity of a graph |

tree | Create tree graphs |

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

triad_census | Triad census, subgraphs with three vertices |

triangles | Find triangles in graphs |

UCINET | Reading foreign file formats |

undirected_graph | Create an igraph graph from a list of edges, or a notable graph |

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

unfold_tree | Convert a general graph into a forest |

union | Union of two or more sets |

union.igraph | Union of graphs |

union.igraph.es | Union of edge sequences |

union.igraph.vs | Union of vertex sequences |

unique.igraph.es | Remove duplicate edges from an edge sequence |

unique.igraph.vs | Remove duplicate vertices from a vertex sequence |

upgrade_graph | Igraph data structure versions |

V | Vertices of a graph |

V<- | Query or set attributes of the vertices in a vertex sequence |

vcount | Order (number of vertices) of a graph |

vertex | Helper function for adding and deleting vertices |

vertex.attributes | Query vertex attributes of a graph |

vertex.attributes<- | Set one or more vertex attributes |

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 |

vertex_attr | Query vertex attributes of a graph |

vertex_attr<- | Set one or more vertex attributes |

vertex_attr_names | List names of vertex attributes |

vertex_connectivity | Vertex connectivity. |

vertex_disjoint_paths | Vertex connectivity. |

vertices | Helper function for adding and deleting vertices |

walktrap.community | Community strucure via short random walks |

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

which_loop | Find the multiple or loop edges in a graph |

which_multiple | Find the multiple or loop edges in a graph |

which_mutual | Find mutual edges in a directed graph |

without_attr | Construtor modifier to remove all attributes from a graph |

without_loops | Constructor modifier to drop loop edges |

without_multiples | Constructor modifier to drop multiple edges |

with_dh | The Davidson-Harel layout algorithm |

with_drl | The DrL graph layout generator |

with_edge_ | Constructor modifier to add edge attributes |

with_fr | The Fruchterman-Reingold layout algorithm |

with_gem | The GEM layout algorithm |

with_graphopt | The graphopt layout algorithm |

with_graph_ | Constructor modifier to add graph attributes |

with_kk | The Kamada-Kawai layout algorithm |

with_lgl | Large Graph Layout |

with_mds | Graph layout by multidimensional scaling |

with_sugiyama | The Sugiyama graph layout generator |

with_vertex_ | Constructor modifier to add vertex attributes |

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

write_graph | Writing the graph to a file in some format |

$.igraph | Getting and setting graph attributes, shortcut |

$.igraph.es | Query or set attributes of the edges in an edge sequence |

$.igraph.vs | Query or set attributes of the vertices in a vertex sequence |

$<-.igraph | Getting and setting graph attributes, shortcut |

$<-.igraph.es | Query or set attributes of the edges in an edge sequence |

$<-.igraph.vs | Query or set attributes of the vertices in a vertex sequence |

%--% | Indexing edge sequences |

%->% | Indexing edge sequences |

%<-% | Indexing edge sequences |

%>% | Magrittr's pipes |

%c% | Compose two graphs as binary relations |

%du% | Disjoint union of graphs |

%m% | Difference of graphs |

%s% | Intersection of graphs |

%u% | Union of graphs |

*.igraph | Replicate a graph multiple times |

+.igraph | Add vertices, edges or another graph to a graph |

-.igraph | Delete vertices or edges from a graph |

[.igraph | Query and manipulate a graph as it were an adjacency matrix |

[.igraph.es | Indexing edge sequences |

[.igraph.vs | Indexing vertex sequences |

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

[<-.igraph.es | Query or set attributes of the edges in an edge sequence |

[<-.igraph.vs | Query or set attributes of the vertices in a vertex sequence |

[[.igraph | Query and manipulate a graph as it were an adjacency list |

[[.igraph.es | Select edges and show their metadata |

[[.igraph.vs | Select vertices and show their metadata |

[[<-.igraph.es | Query or set attributes of the edges in an edge sequence |

[[<-.igraph.vs | Query or set attributes of the vertices in a vertex sequence |