igraph v1.2.4

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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
E Edges of a graph
add_layout_ Add layout to graph
add_vertices Add vertices to a graph
as_adjacency_matrix Convert a graph to an adjacency matrix
as_ids Convert a vertex or edge sequence to an ordinary vector
assortativity Assortativity coefficient
authority_score Kleinberg's authority centrality scores.
centr_degree Centralize a graph according to the degrees of vertices
centr_degree_tmax Theoretical maximum for degree centralization
as_incidence_matrix Incidence matrix of a bipartite graph
arpack_defaults ARPACK eigenvector calculation
cluster_label_prop Finding communities based on propagating labels
articulation_points Articulation points of a graph
as_long_data_frame Convert a graph to a long data frame
cluster_leading_eigen Community structure detecting based on the leading eigenvector of the community matrix
membership Functions to deal with the result of network community detection
as_membership Declare a numeric vector as a membership vector
c.igraph.es Concatenate edge sequences
compare Compares community structures using various metrics
c.igraph.vs Concatenate vertex sequences
count_isomorphisms Count the number of isomorphic mappings between two graphs
count_motifs Graph motifs
distance_table Shortest (directed or undirected) paths between vertices
diverging_pal Diverging palette
edge_attr_names List names of edge attributes
bfs Breadth-first search
closeness Closeness centrality of vertices
igraph-package The igraph package
add_edges Add edges to a graph
adjacent_vertices Adjacent vertices of multiple vertices in a graph
alpha_centrality Find Bonacich alpha centrality scores of network positions
all_simple_paths List all simple paths from one source
cluster_fast_greedy Community structure via greedy optimization of modularity
cluster_edge_betweenness Community structure detection based on edge betweenness
convex_hull Convex hull of a set of vertices
as_edgelist Convert a graph to an edge list
biconnected_components Biconnected components
as_graphnel Convert igraph graphs to graphNEL objects from the graph package
automorphisms Number of automorphisms
are_adjacent Are two vertices adjacent?
graph_from_edgelist Create a graph from an edge list matrix
edge_connectivity Edge connectivity.
coreness K-core decomposition of graphs
as.directed Convert between directed and undirected graphs
centr_betw Centralize a graph according to the betweenness of vertices
graph_from_graphdb Load a graph from the graph database for testing graph isomorphism.
centr_betw_tmax Theoretical maximum for betweenness centralization
estimate_betweenness Vertex and edge betweenness centrality
as.igraph Conversion to igraph
delete_vertex_attr Delete a vertex attribute
centr_clo Centralize a graph according to the closeness of vertices
bipartite_mapping Decide whether a graph is bipartite
cluster_infomap Infomap community finding
igraph_demo Run igraph demos, step by step
centr_clo_tmax Theoretical maximum for closeness centralization
centralize Centralization of a graph
igraph_options Parameters for the igraph package
bipartite_projection Project a bipartite graph
cluster_louvain Finding community structure by multi-level optimization of modularity
cluster_optimal Optimal community structure
cliques The functions find cliques, ie. complete subgraphs in a graph
intersection.igraph.vs Intersection of vertex sequences
is_chordal Chordality of a graph
laplacian_matrix Graph Laplacian
layout.reingold.tilford Deprecated layout functions
cluster_spinglass Finding communities in graphs based on statistical meachanics
delete_vertices Delete vertices from a graph
cluster_walktrap Community strucure via short random walks
cocitation Cocitation coupling
constraint Burt's constraint
contract Contract several vertices into a single one
canonical_permutation Canonical permutation of a graph
cohesive_blocks Calculate Cohesive Blocks
categorical_pal Palette for categories
layout_as_tree The Reingold-Tilford graph layout algorithm
difference.igraph.es Difference of edge sequences
layout_in_circle Graph layout with vertices on a circle.
centr_eigen Centralize a graph according to the eigenvector centrality of vertices
consensus_tree Create a consensus tree from several hierarchical random graph models
difference.igraph.vs Difference of vertex sequences
delete_edges Delete edges from a graph
console The igraph console
centr_eigen_tmax Theoretical maximum for betweenness centralization
count_subgraph_isomorphisms Count the isomorphic mappings between a graph and the subgraphs of another graph
complementer Complementer of a graph
component_wise Component-wise layout
layout_with_graphopt The graphopt layout algorithm
component_distribution Connected components of a graph
delete_graph_attr Delete a graph attribute
compose Compose two graphs as binary relations
layout_with_kk The Kamada-Kawai layout algorithm
count_triangles Find triangles in graphs
dyad_census Dyad census of a graph
curve_multiple Optimal edge curvature when plotting graphs
each_edge Rewires the endpoints of the edges of a graph to a random vertex
dim_select Dimensionality selection for singular values using profile likelihood.
ends Incident vertices of some graph edges
erdos.renyi.game Generate random graphs according to the Erdos-Renyi model
disjoint_union Disjoint union of graphs
embed_laplacian_matrix Spectral Embedding of the Laplacian of a Graph
graph_from_atlas Create a graph from the Graph Atlas
make_ Make a new graph
as_data_frame Creating igraph graphs from data frames or vice-versa
dfs Depth-first search
fit_hrg Fit a hierarchical random graph model
degree Degree and degree distribution of the vertices
delete_edge_attr Delete an edge attribute
diameter Diameter of a graph
difference Difference of two sets
decompose Decompose a graph into components
eccentricity Eccentricity of the vertices in a graph
edge_attr<- Set one or more edge attributes
graph_attr Graph attributes of a graph
difference.igraph Difference of graphs
graph_version Igraph data structure versions
diversity Graph diversity
is_bipartite Create a bipartite graph
edge_attr Query edge attributes of a graph
graphlet_basis Graphlet decomposition of a graph
edge Helper function for adding and deleting edges
graph_attr_names List names of graph attributes
fit_power_law Fitting a power-law distribution function to discrete data
hrg_tree Create an igraph graph from a hierarchical random graph model
hub_score Kleinberg's hub centrality scores.
is_named Named graphs
make_ring Create a ring graph
make_line_graph Line graph of a graph
mst Minimum spanning tree
dominator_tree Dominator tree
get.edge.ids Find the edge ids based on the incident vertices of the edges
is_printer_callback Is this a printer callback?
eigen_centrality Find Eigenvector Centrality Scores of Network Positions
graph_from_isomorphism_class Create a graph from an isomorphism class
layout.fruchterman.reingold.grid Grid Fruchterman-Reingold layout, this was removed from igraph
neighbors Neighboring (adjacent) vertices in a graph
normalize Normalize layout
edge_density Graph density
layout.spring Spring layout, this was removed from igraph
page_rank The Page Rank algorithm
layout_on_sphere Graph layout with vertices on the surface of a sphere
+.igraph Add vertices, edges or another graph to a graph
embed_adjacency_matrix Spectral Embedding of Adjacency Matrices
graph_from_lcf Creating a graph from LCF notation
ego_size Neighborhood of graph vertices
graph_ Convert object to a graph
layout_randomly Randomly place vertices on a plane or in 3d space
hrg-methods Hierarchical random graphs
layout_with_fr The Fruchterman-Reingold layout algorithm
layout_with_gem The GEM layout algorithm
hrg Create a hierarchical random graph from an igraph graph
graph_from_adj_list Create graphs from adjacency lists
igraph-vs-indexing Indexing vertex sequences
make_full_bipartite_graph Create a full bipartite graph
girth Girth of a graph
graph_from_adjacency_matrix Create graphs from adjacency matrices
igraph-vs-indexing2 Select vertices and show their metadata
make_full_citation_graph Create a complete (full) citation graph
graph_from_graphnel Convert graphNEL objects from the graph package to igraph
intersection Intersection of two or more sets
indent_print Indent a printout
gorder Order (number of vertices) of a graph
graph_from_incidence_matrix Create graphs from an incidence matrix
graph_from_literal Creating (small) graphs via a simple interface
graph_attr<- Set all or some graph attributes
power_centrality Find Bonacich Power Centrality Scores of Network Positions
head_of Head of the edge(s) in a graph
is_igraph Is this object an igraph graph?
graph_id Get the id of a graph
make_star Create a star graph, a tree with n vertices and n - 1 leaves
groups Groups of a vertex partitioning
identical_graphs Decide if two graphs are identical
random_walk Random walk on a graph
upgrade_graph Igraph data structure versions
stochastic_matrix Stochastic matrix of a graph
strength Strength or weighted vertex degree
similarity Similarity measures of two vertices
unfold_tree Convert a general graph into a forest
read_graph Reading foreign file formats
shapes Various vertex shapes when plotting igraph graphs
triad_census Triad census, subgraphs with three vertices
gsize The size of the graph (number of edges)
is_min_separator Minumal vertex separators
igraph-es-indexing Indexing edge sequences
isomorphisms Calculate all isomorphic mappings between the vertices of two graphs
igraph-attribute-combination How igraph functions handle attributes when the graph changes
vertex Helper function for adding and deleting vertices
write_graph Writing the graph to a file in some format
head_print Print the only the head of an R object
igraph-minus Delete vertices or edges from a graph
igraph-es-indexing2 Select edges and show their metadata
igraph-dollar Getting and setting graph attributes, shortcut
is_directed Check whether a graph is directed
igraph_test Run package tests
ivs Independent vertex sets
igraph_version Query igraph's version string
igraph-vs-attributes Query or set attributes of the vertices in a vertex sequence
layout_with_lgl Large Graph Layout
make_tree Create tree graphs
intersection.igraph Intersection of graphs
intersection.igraph.es Intersection of edge sequences
layout_with_mds Graph layout by multidimensional scaling
is_dag Directed acyclic graphs
motifs Graph motifs
rewire Rewiring edges of a graph
modularity.igraph Modularity of a community structure of a graph
rglplot 3D plotting of graphs with OpenGL
igraph-es-attributes Query or set attributes of the edges in an edge sequence
sample_ Sample from a random graph model
is_graphical Is a degree sequence graphical?
running_mean Running mean of a time series
is_degseq Check if a degree sequence is valid for a multi-graph
isomorphic Decide if two graphs are isomorphic
incident_edges Incident edges of multiple vertices in a graph
isomorphism_class Isomorphism class of a graph
incident Incident edges of a vertex in a graph
make_de_bruijn_graph De Bruijn graphs
make_empty_graph A graph with no edges
keeping_degseq Graph rewiring while preserving the degree distribution
layout.svd SVD layout, this was removed from igraph
is_separator Vertex separators
knn Average nearest neighbor degree
layout_ Graph layouts
layout_as_bipartite Simple two-row layout for bipartite graphs
is_weighted Weighted graphs
layout_with_sugiyama The Sugiyama graph layout generator
sample_k_regular Create a random regular graph
layout_as_star Generate coordinates to place the vertices of a graph in a star-shape
layout_with_dh The Davidson-Harel layout algorithm
layout_nicely Choose an appropriate graph layout algorithm automatically
layout_on_grid Simple grid layout
make_chordal_ring Create an extended chordal ring graph
sample_last_cit Random citation graphs
sample_motifs Graph motifs
layout_with_drl The DrL graph layout generator
make_full_graph Create a full graph
sample_pa Generate scale-free graphs according to the Barabasi-Albert model
make_graph Create an igraph graph from a list of edges, or a notable graph
sequential_pal Sequential palette
set_edge_attr Set edge attributes
split_join_distance Split-join distance of two community structures
srand Deprecated function, used to set random seed of the C library's RNG
[.igraph Query and manipulate a graph as it were an adjacency matrix
make_clusters Creates a communities object.
make_kautz_graph Kautz graphs
[[.igraph Query and manipulate a graph as it were an adjacency list
local_scan Compute local scan statistics on graphs
%>% Magrittr's pipes
print.nexusDatasetInfo Query and download from the Nexus network repository
unique.igraph.es Remove duplicate edges from an edge sequence
unique.igraph.vs Remove duplicate vertices from a vertex sequence
norm_coords Normalize coordinates for plotting graphs
Drawing graphs Drawing graphs
print.igraph.es Print an edge sequence to the screen
make_lattice Create a lattice graph
print.igraph.vs Show a vertex sequence on the screen
rev.igraph.es Reverse the order in an edge sequence
without_loops Constructor modifier to drop loop edges
without_multiples Constructor modifier to drop multiple edges
max_cardinality Maximum cardinality search
rev.igraph.vs Reverse the order in a vertex sequence
sample_dirichlet Sample from a Dirichlet distribution
sample_dot_product Generate random graphs according to the random dot product graph model
max_flow Maximum flow in a graph
match_vertices Match Graphs given a seeding of vertex correspondences
sample_forestfire Forest Fire Network Model
is_matching Graph matching
plot_dendrogram Community structure dendrogram plots
merge_coords Merging graph layouts
plot_dendrogram.igraphHRG HRG dendrogram plot
sample_gnm Generate random graphs according to the G(n,m) Erdos-Renyi model
min_cut Minimum cut in a graph
print.igraphHRGConsensus Print a hierarchical random graph consensus tree to the screen
print.igraphHRG Print a hierarchical random graph model to the screen
reciprocity Reciprocity of graphs
sample_sphere_volume Sample vectors uniformly from the volume of a sphere
min_separators Minimum size vertex separators
path Helper function to add or delete edges along a path
sample_traits_callaway Graph generation based on different vertex types
rep.igraph Replicate a graph multiple times
permute Permute the vertices of a graph
scan_stat Scan statistics on a time series of graphs
subcomponent In- or out- component of a vertex
scg-method Spectral Coarse Graining
min_st_separators Minimum size vertex separators
subgraph Subgraph of a graph
topo_sort Topological sorting of vertices in a graph
transitivity Transitivity of a graph
vertex_attr Query vertex attributes of a graph
sample_bipartite Bipartite random graphs
sample_correlated_gnp Generate a new random graph from a given graph by randomly adding/removing edges
plot.igraph Plotting of graphs
vertex_attr_names List names of vertex attributes
printer_callback Create a printer callback function
plot.sir Plotting the results on multiple SIR model runs
with_vertex_ Constructor modifier to add vertex attributes
printr Better printing of R packages
predict_edges Predict edges based on a hierarchical random graph model
without_attr Construtor modifier to remove all attributes from a graph
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_hrg Sample from a hierarchical random graph model
sample_islands A graph with subgraphs that are each a random graph.
sample_hierarchical_sbm Sample the hierarchical stochastic block model
sample_growing Growing random graph generation
sample_smallworld The Watts-Strogatz small-world model
sample_sphere_surface Sample vectors uniformly from the surface of a sphere
sample_pa_age Generate an evolving random graph with preferential attachment and aging
print.igraph Print graphs to the terminal
sample_pref Trait-based random generation
set_graph_attr Set a graph attribute
scg All-in-one Function for the SCG of Matrices and Graphs
r_pal The default R palette
set_vertex_attr Set vertex attributes
scg_eps Error of the spectral coarse graining (SCG) approximation
radius Radius of a graph
sample_fitness Random graphs from vertex fitness scores
time_bins.sir SIR model on graphs
spectrum Eigenvalues and eigenvectors of the adjacency matrix of a graph
simplified Constructor modifier to drop multiple and loop edges
sample_fitness_pl Scale-free random graphs, from vertex fitness scores
sample_gnp Generate random graphs according to the G(n,p) Erdos-Renyi model
simplify Simple graphs
union.igraph.es Union of edge sequences
subgraph_isomorphisms All isomorphic mappings between a graph and subgraphs of another graph
union.igraph.vs Union of vertex sequences
sample_grg Geometric random graphs
tail_of Tails of the edge(s) in a graph
tkplot Interactive plotting of graphs
tkigraph Experimental basic igraph GUI
sample_sbm Sample stochastic block model
sample_seq Sampling a random integer sequence
scg_group SCG Problem Solver
with_graph_ Constructor modifier to add graph attributes
with_igraph_opt Run code with a temporary igraph options setting
scg_semi_proj Semi-Projectors
st_cuts List all (s,t)-cuts of a graph
Pie charts as vertices Using pie charts as vertices in graph plots
st_min_cuts List all minimum \((s,t)\)-cuts of a graph
subgraph_centrality Find subgraph centrality scores of network positions
vertex_attr<- Set one or more vertex attributes
which_mutual Find mutual edges in a directed graph
with_edge_ Constructor modifier to add edge attributes
subgraph_isomorphic Decide if a graph is subgraph isomorphic to another one
union Union of two or more sets
union.igraph Union of graphs
vertex_connectivity Vertex connectivity.
which_multiple Find the multiple or loop edges in a graph
V Vertices of a graph
as_adj_list Adjacency lists
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License GPL (>= 2)
URL http://igraph.org
SystemRequirements gmp (optional), libxml2 (optional), glpk (optional)
BugReports https://github.com/igraph/igraph/issues
Encoding UTF-8
RoxygenNote 6.1.1
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' '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 2019-02-13 11:36:26 UTC; gaborcsardi
Repository CRAN
Date/Publication 2019-02-13 17:40:19 UTC

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