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All functions

as_adj_list1()
Adjacency list
as_adj_weighted()
weighted dense adjacency matrix
as_multi_adj()
Convert a list of graphs to an adjacency matrices
bipartite_from_data_frame()
two-mode network from a data.frame
clique_vertex_mat()
Clique Vertex Matrix
core_periphery()
Discrete core-periphery model
dyad_census_attr()
dyad census with node attributes
fast_cliques()
Find Cliques, maximal or not, fast
graph_cartesian()
Cartesian product of two graphs
graph_cor()
Graph correlation
graph_direct()
Direct product of two graphs
graph_from_multi_edgelist()
Multiple networks from a single edgelist with a typed attribute
graph_kpartite()
k partite graphs
biggest_component() delete_isolates()
helper function
reciprocity_cor()
Reciprocity correlation coefficient
sample_coreseq()
Generate random graphs with a given coreness sequence
sample_lfr()
LFR benchmark graphs
sample_pa_homophilic()
Homophilic random graph using BA preferential attachment model
split_graph()
split graph
str(<igraph>)
Print graphs to terminal
structural_equivalence()
Maximal Structural Equivalence
triad_census_attr()
triad census with node attributes