# igraph v1.1.2

0

Monthly downloads

by Gabor Csardi

## Network Analysis and Visualization

Routines for simple graphs and network analysis. It can
handle large graphs very well and provides functions for generating random
and regular graphs, graph visualization, centrality methods and much more.

## Functions in igraph

Name | Description | |

adjacent_vertices | Adjacent vertices of multiple vertices in a graph | |

all_simple_paths | List all simple paths from one source | |

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

are_adjacent | Are two vertices adjacent? | |

E | Edges of a graph | |

V | Vertices of a graph | |

igraph-package | The igraph package | |

add_edges | Add edges to a graph | |

add_layout_ | Add layout to graph | |

add_vertices | Add vertices to a graph | |

as_adj_list | Adjacency lists | |

as_adjacency_matrix | Convert a graph to an adjacency matrix | |

assortativity | Assortativity coefficient | |

arpack_defaults | ARPACK eigenvector calculation | |

articulation_points | Articulation points of a graph | |

bipartite_mapping | Decide whether a graph is bipartite | |

bipartite_projection | Project a bipartite graph | |

canonical_permutation | Canonical permutation of a graph | |

categorical_pal | Palette for categories | |

centralize | Centralization of a graph | |

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

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

as_incidence_matrix | Incidence matrix of a bipartite graph | |

automorphisms | Number of automorphisms | |

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

cluster_optimal | Optimal community structure | |

component_distribution | Connected components of a graph | |

compose | Compose two graphs as binary relations | |

as.directed | Convert between directed and undirected graphs | |

as.igraph | Conversion to igraph | |

biconnected_components | Biconnected components | |

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

centr_degree_tmax | Theoretical maximum for degree centralization | |

closeness | Closeness centrality of vertices | |

cluster_edge_betweenness | Community structure detection based on edge betweenness | |

bfs | Breadth-first search | |

estimate_betweenness | Vertex and edge betweenness centrality | |

c.igraph.es | Concatenate edge sequences | |

c.igraph.vs | Concatenate vertex sequences | |

cluster_label_prop | Finding communities based on propagating labels | |

authority_score | Kleinberg's authority centrality scores. | |

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

centr_betw_tmax | Theoretical maximum for betweenness centralization | |

cluster_fast_greedy | Community structure via greedy optimization of modularity | |

cluster_spinglass | Finding communities in graphs based on statistical meachanics | |

cluster_walktrap | Community strucure via short random walks | |

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

console | The igraph console | |

delete_vertex_attr | Delete a vertex attribute | |

delete_vertices | Delete vertices from a graph | |

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

diverging_pal | Diverging palette | |

cluster_infomap | Infomap community finding | |

complementer | Complementer of a graph | |

component_wise | Component-wise layout | |

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

curve_multiple | Optimal edge curvature when plotting graphs | |

decompose | Decompose a graph into components | |

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

disjoint_union | Disjoint union of graphs | |

count_motifs | Graph motifs | |

delete_edges | Delete edges from a graph | |

delete_graph_attr | Delete a graph attribute | |

dfs | Depth-first search | |

diameter | Diameter of a graph | |

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

edge_attr | Query edge attributes of a graph | |

edge_density | Graph density | |

ego_size | Neighborhood of graph vertices | |

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

girth | Girth of a graph | |

graph_from_adjacency_matrix | Create graphs from adjacency matrices | |

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

cocitation | Cocitation coupling | |

cohesive_blocks | Calculate Cohesive Blocks | |

constraint | Burt's constraint | |

graph_from_atlas | Create a graph from the Graph Atlas | |

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

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

hub_score | Kleinberg's hub centrality scores. | |

identical_graphs | Decide if two graphs are identical | |

igraph_options | Parameters for the igraph package | |

dyad_census | Dyad census of a graph | |

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

embed_laplacian_matrix | Spectral Embedding of the Laplacian of a Graph | |

contract | Contract several vertices into a single one | |

degree | Degree and degree distribution of the vertices | |

delete_edge_attr | Delete an edge attribute | |

ends | Incident vertices of some graph edges | |

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

graph_attr | Graph attributes of a graph | |

graph_from_lcf | Creating a graph from LCF notation | |

igraph_test | Run package tests | |

is_graphical | Is a degree sequence graphical? | |

is_igraph | Is this object an igraph graph? | |

is_weighted | Weighted graphs | |

diversity | Graph diversity | |

dominator_tree | Dominator tree | |

eigen_centrality | Find Eigenvector Centrality Scores of Network Positions | |

embed_adjacency_matrix | Spectral Embedding of Adjacency Matrices | |

as_edgelist | Convert a graph to an edge list | |

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

as_long_data_frame | Convert a graph to a long data frame | |

as_membership | Declare a numeric vector as a membership vector | |

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

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

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

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

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

igraph_version | Query igraph's version string | |

incident | Incident edges of a vertex in a graph | |

intersection.igraph.es | Intersection of edge sequences | |

intersection.igraph.vs | Intersection of vertex sequences | |

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

centr_clo_tmax | Theoretical maximum for closeness centralization | |

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

centr_eigen_tmax | Theoretical maximum for betweenness centralization | |

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

compare | Compares community structures using various metrics | |

convex_hull | Convex hull of a set of vertices | |

coreness | K-core decomposition of graphs | |

difference.igraph.es | Difference of edge sequences | |

difference.igraph.vs | Difference of vertex sequences | |

edge_attr_names | List names of edge attributes | |

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

count_triangles | Find triangles in graphs | |

difference | Difference of two sets | |

difference.igraph | Difference of graphs | |

isomorphic | Decide if two graphs are isomorphic | |

layout.reingold.tilford | Deprecated layout functions | |

layout_with_gem | The GEM layout algorithm | |

isomorphism_class | Isomorphism class of a graph | |

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

layout_ | Graph layouts | |

graph_attr_names | List names of graph attributes | |

graph_from_adj_list | Create graphs from adjacency lists | |

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

graph_from_edgelist | Create a graph from an edge list matrix | |

graph_id | Get the id of a graph | |

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

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

layout_on_grid | Simple grid layout | |

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

layout_with_mds | Graph layout by multidimensional scaling | |

graph_version | Igraph data structure versions | |

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_demo | Run igraph demos, step by step | |

is_chordal | Chordality of a graph | |

is_dag | Directed acyclic graphs | |

ivs | Independent vertex sets | |

keeping_degseq | Graph rewiring while preserving the degree distribution | |

layout_in_circle | Graph layout with vertices on a circle. | |

layout_nicely | Choose an appropriate graph layout algorithm automatically | |

layout_with_kk | The Kamada-Kawai layout algorithm | |

layout_with_graphopt | The graphopt layout algorithm | |

make_clusters | Creates a communities object. | |

make_de_bruijn_graph | De Bruijn graphs | |

make_tree | Create tree graphs | |

match_vertices | Match Graphs given a seeding of vertex correspondences | |

motifs | Graph motifs | |

mst | Minimum spanning tree | |

Drawing graphs | Drawing graphs | |

layout_with_sugiyama | The Sugiyama graph layout generator | |

make_lattice | Create a lattice graph | |

make_line_graph | Line graph of a graph | |

min_st_separators | Minimum size vertex separators | |

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

permute | Permute the vertices of a graph | |

%>% | Magrittr's pipes | |

power_centrality | Find Bonacich Power Centrality Scores of Network Positions | |

layout_with_lgl | Large Graph Layout | |

is_bipartite | Create a bipartite graph | |

make_chordal_ring | Create an extended chordal ring graph | |

make_ring | Create a ring graph | |

edge_connectivity | Edge connectivity. | |

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

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

plot.igraph | Plotting of graphs | |

plot_dendrogram.igraphHRG | HRG dendrogram plot | |

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

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

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

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

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

rep.igraph | Replicate a graph multiple times | |

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

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 | |

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

head_print | Print the only the head of an R object | |

hrg-methods | Hierarchical random graphs | |

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

sample_fitness | Random graphs from vertex fitness scores | |

sample_pref | Trait-based random generation | |

sample_sbm | Sample stochastic block model | |

eccentricity | Eccentricity of the vertices in a graph | |

edge | Helper function for adding and deleting edges | |

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

fit_hrg | Fit a hierarchical random graph model | |

scg_semi_proj | Semi-Projectors | |

sequential_pal | Sequential palette | |

simplify | Simple graphs | |

time_bins.sir | SIR model on graphs | |

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

min_cut | Minimum cut in a graph | |

min_separators | Minimum size vertex separators | |

norm_coords | Normalize coordinates for plotting graphs | |

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

graph_ | Convert object to a graph | |

graph_from_incidence_matrix | Create graphs from an incidence matrix | |

graph_from_isomorphism_class | Create a graph from an isomorphism class | |

graphlet_basis | Graphlet decomposition of a graph | |

groups | Groups of a vertex partitioning | |

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

igraph-es-indexing | Indexing edge sequences | |

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

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

incident_edges | Incident edges of multiple vertices in a graph | |

indent_print | Indent a printout | |

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

is_directed | Check whether a graph is directed | |

is_printer_callback | Is this a printer callback? | |

is_separator | Vertex separators | |

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

stochastic_matrix | Stochastic matrix of a graph | |

transitivity | Transitivity of a graph | |

intersection | Intersection of two or more sets | |

intersection.igraph | Intersection of graphs | |

is_named | Named graphs | |

knn | Average nearest neighbor degree | |

laplacian_matrix | Graph Laplacian | |

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

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

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

layout_with_dh | The Davidson-Harel layout algorithm | |

is_min_separator | Minumal vertex separators | |

layout_with_drl | The DrL graph layout generator | |

layout_with_fr | The Fruchterman-Reingold layout algorithm | |

make_empty_graph | A graph with no edges | |

make_full_bipartite_graph | Create a full bipartite graph | |

radius | Radius of a graph | |

random_walk | Random walk on a graph | |

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

rewire | Rewiring edges of a graph | |

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

make_kautz_graph | Kautz graphs | |

is_matching | Graph matching | |

max_cardinality | Maximum cardinality search | |

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_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_sphere_surface | Sample vectors uniformly from the surface of a sphere | |

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

set_edge_attr | Set edge attributes | |

normalize | Normalize layout | |

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

plot_dendrogram | Community structure dendrogram plots | |

read_graph | Reading foreign file formats | |

set_graph_attr | Set a graph attribute | |

subgraph | Subgraph of a graph | |

subgraph_centrality | Find subgraph centrality scores of network positions | |

unfold_tree | Convert a general graph into a forest | |

triad_census | Triad census, subgraphs with three vertices | |

union.igraph | Union of graphs | |

union.igraph.es | Union of edge sequences | |

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

without_loops | Constructor modifier to drop loop edges | |

reciprocity | Reciprocity of graphs | |

sample_ | Sample from a random graph model | |

sample_bipartite | Bipartite random graphs | |

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

sample_forestfire | Forest Fire Network Model | |

union | Union of two or more sets | |

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

vertex_attr | Query vertex attributes of a graph | |

with_edge_ | Constructor modifier to add edge attributes | |

sample_seq | Sampling a random integer sequence | |

sample_smallworld | The Watts-Strogatz small-world model | |

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

scg_group | SCG Problem Solver | |

page_rank | The Page Rank algorithm | |

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

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

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

printr | Better printing of R packages | |

r_pal | The default R palette | |

sample_degseq | Generate random graphs with a given degree sequence | |

sample_dirichlet | Sample from a Dirichlet distribution | |

sample_hierarchical_sbm | Sample the hierarchical stochastic block model | |

with_graph_ | Constructor modifier to add graph attributes | |

set_vertex_attr | Set vertex attributes | |

shapes | Various vertex shapes when plotting igraph graphs | |

strength | Strength or weighted vertex degree | |

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

local_scan | Compute local scan statistics on graphs | |

make_ | Make a new graph | |

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

make_full_graph | Create a full graph | |

max_flow | Maximum flow in a graph | |

sample_hrg | Sample from a hierarchical random graph model | |

sample_last_cit | Random citation graphs | |

sample_motifs | Graph motifs | |

sample_traits_callaway | Graph generation based on different vertex types | |

neighbors | Neighboring (adjacent) vertices in a graph | |

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

print.igraph | Print graphs to the terminal | |

print.igraph.es | Print an edge sequence to the screen | |

tkplot | Interactive plotting of graphs | |

topo_sort | Topological sorting of vertices in a graph | |

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

upgrade_graph | Igraph data structure versions | |

merge_coords | Merging graph layouts | |

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

printer_callback | Create a printer callback function | |

rglplot | 3D plotting of graphs with OpenGL | |

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

which_mutual | Find mutual edges in a directed graph | |

running_mean | Running mean of a time series | |

sample_grg | Geometric random graphs | |

sample_growing | Growing random graph generation | |

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

sample_k_regular | Create a random regular graph | |

scg-method | Spectral Coarse Graining | |

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

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

scan_stat | Scan statistics on a time series of graphs | |

similarity | Similarity measures of two vertices | |

simplified | Constructor modifier to drop multiple and loop edges | |

split_join_distance | Split-join distance of two community structures | |

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

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

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

tkigraph | Experimental basic igraph GUI | |

vertex | Helper function for adding and deleting vertices | |

Pie charts as vertices | Using pie charts as vertices in graph plots | |

with_igraph_opt | Run code with a temporary igraph options setting | |

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

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

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 | |

union.igraph.vs | Union of vertex sequences | |

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

vertex_attr_names | List names of vertex attributes | |

vertex_connectivity | Vertex connectivity. | |

without_multiples | Constructor modifier to drop multiple edges | |

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

with_vertex_ | Constructor modifier to add vertex attributes | |

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## Last month downloads

## Details

License | GPL (>= 2) |

URL | http://igraph.org |

SystemRequirements | gmp, libxml2 |

BugReports | https://github.com/igraph/igraph/issues |

Encoding | UTF-8 |

Collate | 'adjacency.R' 'auto.R' 'assortativity.R' 'attributes.R' 'basic.R' 'bipartite.R' 'centrality.R' 'centralization.R' 'cliques.R' 'cocitation.R' 'cohesive.blocks.R' 'community.R' 'components.R' 'console.R' 'conversion.R' 'data_frame.R' 'decomposition.R' 'degseq.R' 'demo.R' 'embedding.R' 'epi.R' 'fit.R' 'flow.R' 'foreign.R' 'games.R' 'glet.R' 'hrg.R' 'igraph-package.R' 'incidence.R' 'indexing.R' 'interface.R' 'iterators.R' 'layout.R' 'layout_drl.R' 'lazyeval.R' 'make.R' 'mgclust.R' 'minimum.spanning.tree.R' 'motifs.R' 'nexus.R' 'operators.R' 'other.R' 'package.R' 'palette.R' 'par.R' 'paths.R' 'plot.R' 'plot.common.R' 'plot.shapes.R' 'pp.R' 'print.R' 'printr.R' 'random_walk.R' 'rewire.R' 'scan.R' 'scg.R' 'sgm.R' 'similarity.R' 'simple.R' 'sir.R' 'socnet.R' 'sparsedf.R' 'structural.properties.R' 'structure.info.R' 'test.R' 'tkplot.R' 'topology.R' 'triangles.R' 'utils.R' 'uuid.R' 'versions.R' 'weakref.R' 'zzz-deprecate.R' |

NeedsCompilation | yes |

Packaged | 2017-07-20 21:33:52 UTC; gaborcsardi |

Repository | CRAN |

Date/Publication | 2017-07-21 11:39:40 UTC |

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