as_adj_list1 |
Adjacency list |
as_adj_weighted |
weighted dense adjacency matrix |
as_multi_adj |
Convert a list of graphs to an adjacency matrices |
biggest_component |
helper function |
bipartite_from_data_frame |
two-mode network from a data.frame |
clique_vertex_mat |
Clique Vertex Matrix |
core_periphery |
Discrete core-periphery model |
delete_isolates |
helper function |
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_cor.array |
Graph correlation |
graph_cor.default |
Graph correlation |
graph_cor.igraph |
Graph correlation |
graph_cor.matrix |
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 |
graph_to_sage |
convert igraph object to sage format |
helpers |
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 |