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