Function reference • netUtils

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

graph_to_sage(): convert igraph object to sage format

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