A B C D E F G I L M N P R S T U W misc
| activate | Determine the context of subsequent manipulations |
| active | Determine the context of subsequent manipulations |
| as_tbl_graph | A data structure for tidy graph manipulation |
| as_tbl_graph.data.frame | A data structure for tidy graph manipulation |
| as_tbl_graph.default | A data structure for tidy graph manipulation |
| as_tbl_graph.dendrogram | A data structure for tidy graph manipulation |
| as_tbl_graph.evonet | A data structure for tidy graph manipulation |
| as_tbl_graph.graphAM | A data structure for tidy graph manipulation |
| as_tbl_graph.graphBAM | A data structure for tidy graph manipulation |
| as_tbl_graph.graphNEL | A data structure for tidy graph manipulation |
| as_tbl_graph.hclust | A data structure for tidy graph manipulation |
| as_tbl_graph.igraph | A data structure for tidy graph manipulation |
| as_tbl_graph.list | A data structure for tidy graph manipulation |
| as_tbl_graph.matrix | A data structure for tidy graph manipulation |
| as_tbl_graph.network | A data structure for tidy graph manipulation |
| as_tbl_graph.Node | A data structure for tidy graph manipulation |
| as_tbl_graph.phylo | A data structure for tidy graph manipulation |
| bfs_after | Search a graph with depth first and breath first |
| bfs_before | Search a graph with depth first and breath first |
| bfs_dist | Search a graph with depth first and breath first |
| bfs_parent | Search a graph with depth first and breath first |
| bfs_rank | Search a graph with depth first and breath first |
| bind_edges | Add graphs, nodes, or edges to a tbl_graph |
| bind_graphs | Add graphs, nodes, or edges to a tbl_graph |
| bind_nodes | Add graphs, nodes, or edges to a tbl_graph |
| centrality | Calculate node and edge centrality |
| centrality_alpha | Calculate node and edge centrality |
| centrality_authority | Calculate node and edge centrality |
| centrality_betweenness | Calculate node and edge centrality |
| centrality_betweenness_communicability | Calculate node and edge centrality |
| centrality_betweenness_current | Calculate node and edge centrality |
| centrality_betweenness_network | Calculate node and edge centrality |
| centrality_betweenness_rsp_net | Calculate node and edge centrality |
| centrality_betweenness_rsp_simple | Calculate node and edge centrality |
| centrality_closeness | Calculate node and edge centrality |
| centrality_closeness_generalised | Calculate node and edge centrality |
| centrality_closeness_harmonic | Calculate node and edge centrality |
| centrality_closeness_residual | Calculate node and edge centrality |
| centrality_communicability | Calculate node and edge centrality |
| centrality_communicability_even | Calculate node and edge centrality |
| centrality_communicability_odd | Calculate node and edge centrality |
| centrality_decay | Calculate node and edge centrality |
| centrality_degree | Calculate node and edge centrality |
| centrality_edge_betweenness | Calculate node and edge centrality |
| centrality_eigen | Calculate node and edge centrality |
| centrality_expected | Calculate node and edge centrality |
| centrality_harmonic | Calculate node and edge centrality |
| centrality_hub | Calculate node and edge centrality |
| centrality_information | Calculate node and edge centrality |
| centrality_integration | Calculate node and edge centrality |
| centrality_katz | Calculate node and edge centrality |
| centrality_manual | Calculate node and edge centrality |
| centrality_pagerank | Calculate node and edge centrality |
| centrality_power | Calculate node and edge centrality |
| centrality_random_walk | Calculate node and edge centrality |
| centrality_subgraph | Calculate node and edge centrality |
| centrality_subgraph_even | Calculate node and edge centrality |
| centrality_subgraph_odd | Calculate node and edge centrality |
| component_games | Graph games based on connected components |
| context_accessors | Access graph, nodes, and edges directly inside verbs |
| convert | Create a temporary alternative representation of the graph to compute on |
| create_bipartite | Create different types of well-defined graphs |
| create_chordal_ring | Create different types of well-defined graphs |
| create_citation | Create different types of well-defined graphs |
| create_complete | Create different types of well-defined graphs |
| create_de_bruijn | Create different types of well-defined graphs |
| create_empty | Create different types of well-defined graphs |
| create_graphs | Create different types of well-defined graphs |
| create_kautz | Create different types of well-defined graphs |
| create_lattice | Create different types of well-defined graphs |
| create_notable | Create different types of well-defined graphs |
| create_path | Create different types of well-defined graphs |
| create_ring | Create different types of well-defined graphs |
| create_star | Create different types of well-defined graphs |
| create_tree | Create different types of well-defined graphs |
| crystallise | Create a temporary alternative representation of the graph to compute on |
| crystallize | Create a temporary alternative representation of the graph to compute on |
| dfs_dist | Search a graph with depth first and breath first |
| dfs_parent | Search a graph with depth first and breath first |
| dfs_rank | Search a graph with depth first and breath first |
| dfs_rank_out | Search a graph with depth first and breath first |
| edge_is_between | Querying edge types |
| edge_is_bridge | Querying edge types |
| edge_is_feedback_arc | Querying edge types |
| edge_is_from | Querying edge types |
| edge_is_incident | Querying edge types |
| edge_is_loop | Querying edge types |
| edge_is_multiple | Querying edge types |
| edge_is_mutual | Querying edge types |
| edge_is_to | Querying edge types |
| edge_rank | Calculate edge ranking |
| edge_rank_eulerian | Calculate edge ranking |
| edge_types | Querying edge types |
| evolution_games | Graph games based on evolution |
| focus | Select specific nodes or edges to compute on |
| focus.morphed_tbl_graph | Select specific nodes or edges to compute on |
| focus.tbl_graph | Select specific nodes or edges to compute on |
| graph_adhesion | Graph measurements |
| graph_assortativity | Graph measurements |
| graph_asym_count | Graph measurements |
| graph_automorphisms | Graph measurements |
| graph_clique_count | Graph measurements |
| graph_clique_num | Graph measurements |
| graph_component_count | Graph measurements |
| graph_diameter | Graph measurements |
| graph_efficiency | Graph measurements |
| graph_girth | Graph measurements |
| graph_is_bipartite | Querying graph types |
| graph_is_chordal | Querying graph types |
| graph_is_complete | Querying graph types |
| graph_is_connected | Querying graph types |
| graph_is_dag | Querying graph types |
| graph_is_directed | Querying graph types |
| graph_is_eulerian | Querying graph types |
| graph_is_forest | Querying graph types |
| graph_is_isomorphic_to | Querying graph types |
| graph_is_simple | Querying graph types |
| graph_is_subgraph_isomorphic_to | Querying graph types |
| graph_is_tree | Querying graph types |
| graph_join | Join graphs on common nodes |
| graph_mean_dist | Graph measurements |
| graph_measures | Graph measurements |
| graph_min_cut | Graph measurements |
| graph_modularity | Graph measurements |
| graph_motif_count | Graph measurements |
| graph_mutual_count | Graph measurements |
| graph_order | Graph measurements |
| graph_radius | Graph measurements |
| graph_reciprocity | Graph measurements |
| graph_size | Graph measurements |
| graph_types | Querying graph types |
| graph_unconn_count | Graph measurements |
| group_biconnected_component | Group nodes and edges based on community structure |
| group_color | Group nodes and edges based on community structure |
| group_components | Group nodes and edges based on community structure |
| group_edge_betweenness | Group nodes and edges based on community structure |
| group_fast_greedy | Group nodes and edges based on community structure |
| group_fluid | Group nodes and edges based on community structure |
| group_graph | Group nodes and edges based on community structure |
| group_infomap | Group nodes and edges based on community structure |
| group_label_prop | Group nodes and edges based on community structure |
| group_leading_eigen | Group nodes and edges based on community structure |
| group_leiden | Group nodes and edges based on community structure |
| group_louvain | Group nodes and edges based on community structure |
| group_optimal | Group nodes and edges based on community structure |
| group_spinglass | Group nodes and edges based on community structure |
| group_walktrap | Group nodes and edges based on community structure |
| is.tbl_graph | A data structure for tidy graph manipulation |
| iterate | Repeatedly modify a graph by a function |
| iterate_n | Repeatedly modify a graph by a function |
| iterate_while | Repeatedly modify a graph by a function |
| local_ave_degree | Measures based on the neighborhood of each node |
| local_graph | Measures based on the neighborhood of each node |
| local_members | Measures based on the neighborhood of each node |
| local_size | Measures based on the neighborhood of each node |
| local_transitivity | Measures based on the neighborhood of each node |
| local_triangles | Measures based on the neighborhood of each node |
| map_bfs | Apply a function to nodes in the order of a breath first search |
| map_bfs_back | Apply a function to nodes in the reverse order of a breath first search |
| map_bfs_back_chr | Apply a function to nodes in the reverse order of a breath first search |
| map_bfs_back_dbl | Apply a function to nodes in the reverse order of a breath first search |
| map_bfs_back_int | Apply a function to nodes in the reverse order of a breath first search |
| map_bfs_back_lgl | Apply a function to nodes in the reverse order of a breath first search |
| map_bfs_chr | Apply a function to nodes in the order of a breath first search |
| map_bfs_dbl | Apply a function to nodes in the order of a breath first search |
| map_bfs_int | Apply a function to nodes in the order of a breath first search |
| map_bfs_lgl | Apply a function to nodes in the order of a breath first search |
| map_dfs | Apply a function to nodes in the order of a depth first search |
| map_dfs_back | Apply a function to nodes in the reverse order of a depth first search |
| map_dfs_back_chr | Apply a function to nodes in the reverse order of a depth first search |
| map_dfs_back_dbl | Apply a function to nodes in the reverse order of a depth first search |
| map_dfs_back_int | Apply a function to nodes in the reverse order of a depth first search |
| map_dfs_back_lgl | Apply a function to nodes in the reverse order of a depth first search |
| map_dfs_chr | Apply a function to nodes in the order of a depth first search |
| map_dfs_dbl | Apply a function to nodes in the order of a depth first search |
| map_dfs_int | Apply a function to nodes in the order of a depth first search |
| map_dfs_lgl | Apply a function to nodes in the order of a depth first search |
| map_local | Map a function over a graph representing the neighborhood of each node |
| map_local_chr | Map a function over a graph representing the neighborhood of each node |
| map_local_dbl | Map a function over a graph representing the neighborhood of each node |
| map_local_int | Map a function over a graph representing the neighborhood of each node |
| map_local_lgl | Map a function over a graph representing the neighborhood of each node |
| morph | Create a temporary alternative representation of the graph to compute on |
| morphers | Functions to generate alternate representations of graphs |
| node_adhesion_from | Calculate node pair properties |
| node_adhesion_to | Calculate node pair properties |
| node_bibcoupling_with | Calculate node pair properties |
| node_bridging_score | Querying node measures |
| node_closeness_impact | Querying node measures |
| node_cocitation_with | Calculate node pair properties |
| node_cohesion_from | Calculate node pair properties |
| node_cohesion_to | Calculate node pair properties |
| node_connectivity_impact | Querying node measures |
| node_constraint | Querying node measures |
| node_coreness | Querying node measures |
| node_distance_from | Calculate node pair properties |
| node_distance_to | Calculate node pair properties |
| node_diversity | Querying node measures |
| node_dominator | Node properties related to the graph topology |
| node_eccentricity | Querying node measures |
| node_effective_network_size | Querying node measures |
| node_efficiency | Querying node measures |
| node_fareness_impact | Querying node measures |
| node_is_adjacent | Querying node types |
| node_is_center | Querying node types |
| node_is_connected | Querying node types |
| node_is_cut | Querying node types |
| node_is_isolated | Querying node types |
| node_is_keyplayer | Querying node types |
| node_is_leaf | Querying node types |
| node_is_root | Querying node types |
| node_is_simplical | Querying node types |
| node_is_sink | Querying node types |
| node_is_source | Querying node types |
| node_is_universal | Querying node types |
| node_max_flow_from | Calculate node pair properties |
| node_max_flow_to | Calculate node pair properties |
| node_measures | Querying node measures |
| node_rank | Calculate node ranking |
| node_rank_anneal | Calculate node ranking |
| node_rank_branch_bound | Calculate node ranking |
| node_rank_dendser | Calculate node ranking |
| node_rank_genetic | Calculate node ranking |
| node_rank_hclust | Calculate node ranking |
| node_rank_leafsort | Calculate node ranking |
| node_rank_mds | Calculate node ranking |
| node_rank_quadratic | Calculate node ranking |
| node_rank_spectral | Calculate node ranking |
| node_rank_spin_in | Calculate node ranking |
| node_rank_spin_out | Calculate node ranking |
| node_rank_traveller | Calculate node ranking |
| node_rank_two | Calculate node ranking |
| node_rank_visual | Calculate node ranking |
| node_similarity_with | Calculate node pair properties |
| node_topology | Node properties related to the graph topology |
| node_topo_order | Node properties related to the graph topology |
| node_types | Querying node types |
| pair_measures | Calculate node pair properties |
| play_barabasi_albert | Graph games based on evolution |
| play_barabasi_albert_aging | Graph games based on evolution |
| play_bipartite | Graph games based on different node types |
| play_blocks | Graph games based on connected components |
| play_blocks_hierarchy | Graph games based on connected components |
| play_citation_age | Graph games based on evolution |
| play_citation_type | Graph games based on different node types |
| play_degree | Graph games based on direct sampling |
| play_dotprod | Graph games based on direct sampling |
| play_erdos_renyi | Graph games based on direct sampling |
| play_fitness | Graph games based on direct sampling |
| play_fitness_power | Graph games based on direct sampling |
| play_forestfire | Graph games based on evolution |
| play_geometry | Graph games based on direct sampling |
| play_gnm | Graph games based on direct sampling |
| play_gnp | Graph games based on direct sampling |
| play_growing | Graph games based on evolution |
| play_islands | Graph games based on connected components |
| play_preference | Graph games based on different node types |
| play_preference_asym | Graph games based on different node types |
| play_smallworld | Graph games based on connected components |
| play_traits | Graph games based on different node types |
| random_walk_rank | Perform a random walk on the graph and return encounter rank |
| reroute | Change terminal nodes of edges |
| sampling_games | Graph games based on direct sampling |
| search_graph | Search a graph with depth first and breath first |
| tbl_graph | A data structure for tidy graph manipulation |
| to_bfs_tree | Functions to generate alternate representations of graphs |
| to_complement | Functions to generate alternate representations of graphs |
| to_components | Functions to generate alternate representations of graphs |
| to_contracted | Functions to generate alternate representations of graphs |
| to_dfs_tree | Functions to generate alternate representations of graphs |
| to_directed | Functions to generate alternate representations of graphs |
| to_dominator_tree | Functions to generate alternate representations of graphs |
| to_hierarchical_clusters | Functions to generate alternate representations of graphs |
| to_largest_component | Functions to generate alternate representations of graphs |
| to_linegraph | Functions to generate alternate representations of graphs |
| to_local_neighborhood | Functions to generate alternate representations of graphs |
| to_minimum_spanning_tree | Functions to generate alternate representations of graphs |
| to_random_spanning_tree | Functions to generate alternate representations of graphs |
| to_shortest_path | Functions to generate alternate representations of graphs |
| to_simple | Functions to generate alternate representations of graphs |
| to_split | Functions to generate alternate representations of graphs |
| to_subcomponent | Functions to generate alternate representations of graphs |
| to_subgraph | Functions to generate alternate representations of graphs |
| to_undirected | Functions to generate alternate representations of graphs |
| to_unfolded_tree | Functions to generate alternate representations of graphs |
| type_games | Graph games based on different node types |
| unfocus | Select specific nodes or edges to compute on |
| unfocus.focused_tbl_graph | Select specific nodes or edges to compute on |
| unfocus.morphed_tbl_graph | Select specific nodes or edges to compute on |
| unfocus.tbl_graph | Select specific nodes or edges to compute on |
| unmorph | Create a temporary alternative representation of the graph to compute on |
| with_graph | Evaluate a tidygraph algorithm in the context of a graph |
| %E>% | Determine the context of subsequent manipulations |
| %N>% | Determine the context of subsequent manipulations |
| .E | Access graph, nodes, and edges directly inside verbs |
| .G | Access graph, nodes, and edges directly inside verbs |
| .N | Access graph, nodes, and edges directly inside verbs |