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