Many Ways to Make, Modify, Map, Mark, and Measure Myriad
Networks
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Documentation for package ‘manynet’ version 1.3.2
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A B C D E F G I J K L M N O P R S T W
-- A --
| add_info | Modifying network data |
| add_nodes | Modifying node data |
| add_node_attribute | Modifying node data |
| add_ties | Modifying tie data |
| add_tie_attribute | Modifying tie data |
| arrange_ties | Modifying tie data |
| as_diffnet | Modifying network classes |
| as_diffusion | Modifying network classes |
| as_edgelist | Modifying network classes |
| as_graphAM | Modifying network classes |
| as_igraph | Modifying network classes |
| as_matrix | Modifying network classes |
| as_network | Modifying network classes |
| as_nodelist | Modifying network classes |
| as_siena | Modifying network classes |
| as_tidygraph | Modifying network classes |
-- B --
| bind_node_attributes | Modifying node data |
| bind_ties | Modifying tie data |
-- C --
| clear_glossary | Adding network glossary items |
| cluster_concor | Methods for equivalence clustering |
| cluster_cosine | Methods for equivalence clustering |
| cluster_hierarchical | Methods for equivalence clustering |
| create_components | Making networks with defined structures |
| create_core | Making networks with defined structures |
| create_degree | Making networks with defined structures |
| create_ego | Making ego networks through interviewing |
| create_empty | Making networks with defined structures |
| create_explicit | Making networks with explicit ties |
| create_filled | Making networks with defined structures |
| create_lattice | Making networks with defined structures |
| create_motifs | Making motifs |
| create_ring | Making networks with defined structures |
| create_star | Making networks with defined structures |
| create_tree | Making networks with defined structures |
-- D --
| data_overview | Obtain overview of available network data |
| delete_nodes | Modifying node data |
| delete_ties | Modifying tie data |
-- E --
| extract_tute | Open and extract code from tutorials |
-- F --
| fict_friends | One-mode undirected Friends character scene co-appearances (McNulty, 2020) |
| fict_greys | One-mode undirected network of characters hook-ups on Grey's Anatomy TV show |
| fict_lotr | One-mode network of Lord of the Rings character interactions |
| fict_potter | Six complex one-mode support data in Harry Potter books (Bossaert and Meidert 2013) |
| fict_thrones | One-mode Game of Thrones kinship (Glander 2017) |
| filter_nodes | Modifying node data |
| filter_ties | Modifying tie data |
| from_egos | Joining lists of networks, graphs, and matrices |
| from_slices | Joining lists of networks, graphs, and matrices |
| from_subgraphs | Joining lists of networks, graphs, and matrices |
| from_ties | Joining lists of networks, graphs, and matrices |
| from_waves | Joining lists of networks, graphs, and matrices |
-- G --
| generate_citations | Making networks with a stochastic element |
| generate_configuration | Making unconditional and conditional random networks |
| generate_fire | Making networks with a stochastic element |
| generate_islands | Making networks with a stochastic element |
| generate_man | Making unconditional and conditional random networks |
| generate_permutation | Making unconditional and conditional random networks |
| generate_random | Making unconditional and conditional random networks |
| generate_scalefree | Making networks with a stochastic element |
| generate_smallworld | Making networks with a stochastic element |
| generate_utilities | Making unconditional and conditional random networks |
| gloss | Adding network glossary items |
| glossary | Adding network glossary items |
| graphr | Easily graph networks with sensible defaults |
| graphs | Easily graph a set of networks with sensible defaults |
| grapht | Easily animate dynamic networks with sensible defaults |
-- I --
| irps_blogs | One-mode directed network of links between US political blogs (Adamic and Glance 2005) |
| irps_books | One-mode undirected network of co-purchased books about US politics on Amazon |
| irps_usgeo | One-mode undirected network of US state contiguity (Meghanathan 2017) |
| irps_wwi | One-mode signed network of relationships between European major powers (Antal et al. 2006) |
| ison_adolescents | One-mode subset of the adolescent society network (Coleman 1961) |
| ison_algebra | Multiplex graph object of friends, social, and task ties (McFarland 2001) |
| ison_brandes | One-mode and two-mode centrality demonstration networks |
| ison_dolphins | One-mode, undirected network of frequent associations in a dolphin pod (Lusseau et al. 2003) |
| ison_hightech | One-mode multiplex, directed network of managers of a high-tech company (Krackhardt 1987) |
| ison_karateka | One-mode karateka network (Zachary 1977) |
| ison_koenigsberg | One-mode Seven Bridges of Koenigsberg network (Euler 1741) |
| ison_laterals | Two-mode projection examples (Hollway 2021) |
| ison_lawfirm | One-mode lawfirm (Lazega 2001) |
| ison_marvel | Multilevel two-mode affiliation, signed one-mode networks of Marvel comic book characters (Yuksel 2017) |
| ison_marvel_relationships | Multilevel two-mode affiliation, signed one-mode networks of Marvel comic book characters (Yuksel 2017) |
| ison_marvel_teams | Multilevel two-mode affiliation, signed one-mode networks of Marvel comic book characters (Yuksel 2017) |
| ison_monks | Multiplex network of three one-mode signed, weighted networks and a three-wave longitudinal network of monks (Sampson 1969) |
| ison_networkers | One-mode EIES dataset (Freeman and Freeman 1979) |
| ison_physicians | Four multiplex one-mode physician diffusion data (Coleman, Katz, and Menzel, 1966) |
| ison_southern_women | Two-mode southern women (Davis, Gardner and Gardner 1941) |
| ison_starwars | Seven one-mode Star Wars character interactions (Gabasova 2016) |
| is_acyclic | Marking networks features |
| is_aperiodic | Marking networks features |
| is_attributed | Marking networks formats |
| is_complex | Marking networks formats |
| is_connected | Marking networks features |
| is_directed | Marking networks formats |
| is_dynamic | Marking networks classes |
| is_edgelist | Marking networks classes |
| is_eulerian | Marking networks features |
| is_graph | Marking networks classes |
| is_labelled | Marking networks formats |
| is_list | Marking networks classes |
| is_longitudinal | Marking networks classes |
| is_manynet | Marking networks classes |
| is_multiplex | Marking networks formats |
| is_perfect_matching | Marking networks features |
| is_signed | Marking networks formats |
| is_twomode | Marking networks formats |
| is_uniplex | Marking networks formats |
| is_weighted | Marking networks formats |
-- J --
| join_nodes | Modifying node data |
| join_ties | Modifying tie data |
-- K --
| k_elbow | Methods for selecting clusters |
| k_silhouette | Methods for selecting clusters |
| k_strict | Methods for selecting clusters |
-- L --
| layout_tbl_graph_alluvial | Layout algorithms based on bi- or other partitions |
| layout_tbl_graph_concentric | Layout algorithms based on bi- or other partitions |
| layout_tbl_graph_configuration | Layout algorithms based on configurational positions |
| layout_tbl_graph_dyad | Layout algorithms based on configurational positions |
| layout_tbl_graph_hexad | Layout algorithms based on configurational positions |
| layout_tbl_graph_hierarchy | Layout algorithms based on bi- or other partitions |
| layout_tbl_graph_ladder | Layout algorithms based on bi- or other partitions |
| layout_tbl_graph_lineage | Layout algorithms based on bi- or other partitions |
| layout_tbl_graph_multilevel | Layout algorithms based on bi- or other partitions |
| layout_tbl_graph_pentad | Layout algorithms based on configurational positions |
| layout_tbl_graph_railway | Layout algorithms based on bi- or other partitions |
| layout_tbl_graph_tetrad | Layout algorithms based on configurational positions |
| layout_tbl_graph_triad | Layout algorithms based on configurational positions |
-- M --
| make_cran | Making networks of package dependencies |
| make_create | Making networks with defined structures |
| make_ego | Making ego networks through interviewing |
| make_explicit | Making networks with explicit ties |
| make_learning | Making learning models on networks |
| make_motifs | Making motifs |
| make_play | Making diffusion models on networks |
| make_random | Making unconditional and conditional random networks |
| make_read | Making networks from external files |
| make_stochastic | Making networks with a stochastic element |
| make_write | Making networks to external files |
| manip_as | Modifying network classes |
| manip_correlation | Node correlation |
| manip_deformat | Modifying network formats |
| manip_from | Joining lists of networks, graphs, and matrices |
| manip_levels | Modifying network levels |
| manip_miss | Modifying missing tie data |
| manip_net | Modifying network data |
| manip_nodes | Modifying node data |
| manip_paths | Modifying networks paths |
| manip_permutation | Network permutation |
| manip_preformat | Modifying network formats |
| manip_project | Modifying networks projection |
| manip_reformat | Modifying network formats |
| manip_scope | Modifying networks scope |
| manip_split | Splitting networks into lists |
| manip_ties | Modifying tie data |
| many_palettes | Many palettes generator |
| map_graphr | Easily graph networks with sensible defaults |
| map_graphs | Easily graph a set of networks with sensible defaults |
| map_grapht | Easily animate dynamic networks with sensible defaults |
| map_layout_configuration | Layout algorithms based on configurational positions |
| map_layout_partition | Layout algorithms based on bi- or other partitions |
| map_palettes | Many palettes generator |
| map_scales | Many scales |
| map_themes | Many themes |
| mark_core | Core-periphery clustering algorithms |
| mark_diff | Marking nodes based on diffusion properties |
| mark_features | Marking networks features |
| mark_format | Marking networks formats |
| mark_is | Marking networks classes |
| mark_nodes | Marking nodes based on structural properties |
| mark_select | Marking nodes for selection based on measures |
| mark_ties | Marking ties based on structural properties |
| mark_tie_select | Marking ties for selection based on measures |
| mark_triangles | Marking ties based on structural properties |
| measure_attributes | Describing attributes of nodes or ties in a network |
| measure_central_between | Measures of betweenness-like centrality and centralisation |
| measure_central_close | Measures of closeness-like centrality and centralisation |
| measure_central_degree | Measures of degree-like centrality and centralisation |
| measure_central_eigen | Measures of eigenvector-like centrality and centralisation |
| measure_closure | Measures of network closure |
| measure_cohesion | Measures of network cohesion or connectedness |
| measure_diffusion_infection | Measures of network infection |
| measure_diffusion_net | Measures of network diffusion |
| measure_diffusion_node | Measures of nodes in a diffusion |
| measure_features | Measures of network topological features |
| measure_heterogeneity | Measures of network diversity |
| measure_hierarchy | Graph theoretic dimensions of hierarchy |
| measure_holes | Measures of structural holes |
| measure_over | Helper functions for measuring over splits of networks |
| measure_periods | Measures of network change |
| measure_properties | Describing network properties |
| member_brokerage | Memberships of brokerage |
| member_cliques | Clique partitioning algorithms |
| member_community_hier | Hierarchical community partitioning algorithms |
| member_community_non | Non-hierarchical community partitioning algorithms |
| member_components | Component partitioning algorithms |
| member_diffusion | Membership of nodes in a diffusion |
| member_equivalence | Equivalence clustering algorithms |
| model_cluster | Methods for equivalence clustering |
| model_kselect | Methods for selecting clusters |
| motif_brokerage | Motifs of brokerage |
| motif_diffusion | Motifs of diffusion |
| motif_net | Motifs at the network level |
| motif_node | Motifs at the nodal level |
| mutate | Modifying node data |
| mutate_nodes | Modifying node data |
| mutate_ties | Modifying tie data |
-- N --
| na_to_mean | Modifying missing tie data |
| na_to_zero | Modifying missing tie data |
| net_adhesion | Measures of network cohesion or connectedness |
| net_assortativity | Measures of network diversity |
| net_balance | Measures of network topological features |
| net_betweenness | Measures of betweenness-like centrality and centralisation |
| net_by_brokerage | Motifs of brokerage |
| net_by_dyad | Motifs at the network level |
| net_by_mixed | Motifs at the network level |
| net_by_tetrad | Motifs at the network level |
| net_by_triad | Motifs at the network level |
| net_change | Measures of network change |
| net_closeness | Measures of closeness-like centrality and centralisation |
| net_cohesion | Measures of network cohesion or connectedness |
| net_components | Measures of network cohesion or connectedness |
| net_congruency | Measures of network closure |
| net_connectedness | Graph theoretic dimensions of hierarchy |
| net_core | Measures of network topological features |
| net_correlation | Measures of network change |
| net_degree | Measures of degree-like centrality and centralisation |
| net_density | Measures of network cohesion or connectedness |
| net_diameter | Measures of network cohesion or connectedness |
| net_dims | Describing network properties |
| net_diversity | Measures of network diversity |
| net_efficiency | Graph theoretic dimensions of hierarchy |
| net_eigenvector | Measures of eigenvector-like centrality and centralisation |
| net_equivalency | Measures of network closure |
| net_factions | Measures of network topological features |
| net_harmonic | Measures of closeness-like centrality and centralisation |
| net_hazard | Measures of network diffusion |
| net_heterophily | Measures of network diversity |
| net_immunity | Measures of network diffusion |
| net_indegree | Measures of degree-like centrality and centralisation |
| net_independence | Measures of network cohesion or connectedness |
| net_infection_complete | Measures of network infection |
| net_infection_peak | Measures of network infection |
| net_infection_total | Measures of network infection |
| net_length | Measures of network cohesion or connectedness |
| net_modularity | Measures of network topological features |
| net_nodes | Describing network properties |
| net_node_attributes | Describing network properties |
| net_outdegree | Measures of degree-like centrality and centralisation |
| net_reach | Measures of closeness-like centrality and centralisation |
| net_reciprocity | Measures of network closure |
| net_recovery | Measures of network diffusion |
| net_reproduction | Measures of network diffusion |
| net_richclub | Measures of network topological features |
| net_richness | Measures of network diversity |
| net_scalefree | Measures of network topological features |
| net_smallworld | Measures of network topological features |
| net_spatial | Measures of network diversity |
| net_stability | Measures of network change |
| net_ties | Describing network properties |
| net_tie_attributes | Describing network properties |
| net_transitivity | Measures of network closure |
| net_transmissibility | Measures of network diffusion |
| net_upperbound | Graph theoretic dimensions of hierarchy |
| node_adoption_time | Measures of nodes in a diffusion |
| node_alpha | Measures of eigenvector-like centrality and centralisation |
| node_attribute | Describing attributes of nodes or ties in a network |
| node_authority | Measures of eigenvector-like centrality and centralisation |
| node_betweenness | Measures of betweenness-like centrality and centralisation |
| node_bridges | Measures of structural holes |
| node_brokering_activity | Motifs of brokerage |
| node_brokering_exclusivity | Motifs of brokerage |
| node_by_brokerage | Motifs of brokerage |
| node_by_dyad | Motifs at the nodal level |
| node_by_exposure | Motifs of diffusion |
| node_by_path | Motifs at the nodal level |
| node_by_tetrad | Motifs at the nodal level |
| node_by_tie | Motifs at the nodal level |
| node_by_triad | Motifs at the nodal level |
| node_closeness | Measures of closeness-like centrality and centralisation |
| node_constraint | Measures of structural holes |
| node_coreness | Core-periphery clustering algorithms |
| node_deg | Measures of degree-like centrality and centralisation |
| node_degree | Measures of degree-like centrality and centralisation |
| node_distance | Measures of closeness-like centrality and centralisation |
| node_diversity | Measures of network diversity |
| node_eccentricity | Measures of closeness-like centrality and centralisation |
| node_efficiency | Measures of structural holes |
| node_effsize | Measures of structural holes |
| node_eigenvector | Measures of eigenvector-like centrality and centralisation |
| node_equivalency | Measures of network closure |
| node_exposure | Measures of nodes in a diffusion |
| node_flow | Measures of betweenness-like centrality and centralisation |
| node_harmonic | Measures of closeness-like centrality and centralisation |
| node_heterophily | Measures of network diversity |
| node_hierarchy | Measures of structural holes |
| node_hub | Measures of eigenvector-like centrality and centralisation |
| node_indegree | Measures of degree-like centrality and centralisation |
| node_induced | Measures of betweenness-like centrality and centralisation |
| node_information | Measures of closeness-like centrality and centralisation |
| node_in_adopter | Membership of nodes in a diffusion |
| node_in_automorphic | Equivalence clustering algorithms |
| node_in_betweenness | Hierarchical community partitioning algorithms |
| node_in_brokering | Memberships of brokerage |
| node_in_community | Non-hierarchical community partitioning algorithms |
| node_in_component | Component partitioning algorithms |
| node_in_eigen | Hierarchical community partitioning algorithms |
| node_in_equivalence | Equivalence clustering algorithms |
| node_in_fluid | Non-hierarchical community partitioning algorithms |
| node_in_greedy | Hierarchical community partitioning algorithms |
| node_in_infomap | Non-hierarchical community partitioning algorithms |
| node_in_leiden | Non-hierarchical community partitioning algorithms |
| node_in_louvain | Non-hierarchical community partitioning algorithms |
| node_in_optimal | Non-hierarchical community partitioning algorithms |
| node_in_partition | Non-hierarchical community partitioning algorithms |
| node_in_regular | Equivalence clustering algorithms |
| node_in_roulette | Clique partitioning algorithms |
| node_in_spinglass | Non-hierarchical community partitioning algorithms |
| node_in_strong | Component partitioning algorithms |
| node_in_structural | Equivalence clustering algorithms |
| node_in_walktrap | Hierarchical community partitioning algorithms |
| node_in_weak | Component partitioning algorithms |
| node_is_core | Core-periphery clustering algorithms |
| node_is_cutpoint | Marking nodes based on structural properties |
| node_is_exposed | Marking nodes based on diffusion properties |
| node_is_fold | Marking nodes based on structural properties |
| node_is_independent | Marking nodes based on structural properties |
| node_is_infected | Marking nodes based on diffusion properties |
| node_is_isolate | Marking nodes based on structural properties |
| node_is_latent | Marking nodes based on diffusion properties |
| node_is_max | Marking nodes for selection based on measures |
| node_is_mentor | Marking nodes based on structural properties |
| node_is_min | Marking nodes for selection based on measures |
| node_is_mode | Describing attributes of nodes or ties in a network |
| node_is_neighbor | Marking nodes based on structural properties |
| node_is_pendant | Marking nodes based on structural properties |
| node_is_random | Marking nodes for selection based on measures |
| node_is_recovered | Marking nodes based on diffusion properties |
| node_leverage | Measures of degree-like centrality and centralisation |
| node_multidegree | Measures of degree-like centrality and centralisation |
| node_names | Describing attributes of nodes or ties in a network |
| node_neighbours_degree | Measures of structural holes |
| node_outdegree | Measures of degree-like centrality and centralisation |
| node_pagerank | Measures of eigenvector-like centrality and centralisation |
| node_posneg | Measures of degree-like centrality and centralisation |
| node_power | Measures of eigenvector-like centrality and centralisation |
| node_reach | Measures of closeness-like centrality and centralisation |
| node_reciprocity | Measures of network closure |
| node_recovery | Measures of nodes in a diffusion |
| node_redundancy | Measures of structural holes |
| node_richness | Measures of network diversity |
| node_stress | Measures of betweenness-like centrality and centralisation |
| node_thresholds | Measures of nodes in a diffusion |
| node_transitivity | Measures of network closure |
| node_vitality | Measures of closeness-like centrality and centralisation |
-- O --
| over_membership | Helper functions for measuring over splits of networks |
| over_time | Helper functions for measuring over splits of networks |
| over_waves | Helper functions for measuring over splits of networks |
-- P --
| play_diffusion | Making diffusion models on networks |
| play_diffusions | Making diffusion models on networks |
| play_learning | Making learning models on networks |
| play_segregation | Making learning models on networks |
| print_glossary | Adding network glossary items |
-- R --
| read_cran | Making networks of package dependencies |
| read_dynetml | Making networks from external files |
| read_edgelist | Making networks from external files |
| read_gml | Making networks from external files |
| read_graphml | Making networks from external files |
| read_matrix | Making networks from external files |
| read_nodelist | Making networks from external files |
| read_pajek | Making networks from external files |
| read_ucinet | Making networks from external files |
| rename | Modifying node data |
| rename_nodes | Modifying node data |
| rename_ties | Modifying tie data |
| run_tute | Open and extract code from tutorials |
-- S --
-- T --
| table_data | Obtain overview of available network data |
| theme_ethz | Many themes |
| theme_iheid | Many themes |
| theme_rug | Many themes |
| theme_uzh | Many themes |
| tie_attribute | Describing attributes of nodes or ties in a network |
| tie_betweenness | Measures of betweenness-like centrality and centralisation |
| tie_closeness | Measures of closeness-like centrality and centralisation |
| tie_cohesion | Measures of structural holes |
| tie_degree | Measures of degree-like centrality and centralisation |
| tie_eigenvector | Measures of eigenvector-like centrality and centralisation |
| tie_is_bridge | Marking ties based on structural properties |
| tie_is_cyclical | Marking ties based on structural properties |
| tie_is_feedback | Marking ties based on structural properties |
| tie_is_forbidden | Marking ties based on structural properties |
| tie_is_imbalanced | Marking ties based on structural properties |
| tie_is_loop | Marking ties based on structural properties |
| tie_is_max | Marking ties for selection based on measures |
| tie_is_min | Marking ties for selection based on measures |
| tie_is_multiple | Marking ties based on structural properties |
| tie_is_path | Marking ties based on structural properties |
| tie_is_random | Marking ties for selection based on measures |
| tie_is_reciprocated | Marking ties based on structural properties |
| tie_is_simmelian | Marking ties based on structural properties |
| tie_is_transitive | Marking ties based on structural properties |
| tie_is_triangular | Marking ties based on structural properties |
| tie_is_triplet | Marking ties based on structural properties |
| tie_signs | Describing attributes of nodes or ties in a network |
| tie_weights | Describing attributes of nodes or ties in a network |
| to_acyclic | Modifying network formats |
| to_anti | Modifying network formats |
| to_blocks | Modifying networks scope |
| to_components | Splitting networks into lists |
| to_correlation | Node correlation |
| to_cosine | Node correlation |
| to_directed | Modifying network formats |
| to_dominating | Modifying networks paths |
| to_ego | Modifying networks scope |
| to_egos | Splitting networks into lists |
| to_eulerian | Modifying networks paths |
| to_giant | Modifying networks scope |
| to_matching | Modifying networks paths |
| to_mentoring | Modifying networks paths |
| to_mode1 | Modifying networks projection |
| to_mode2 | Modifying networks projection |
| to_multilevel | Modifying network levels |
| to_named | Modifying network formats |
| to_no_isolates | Modifying networks scope |
| to_onemode | Modifying network levels |
| to_permuted | Network permutation |
| to_reciprocated | Modifying network formats |
| to_redirected | Modifying network formats |
| to_signed | Modifying network formats |
| to_simplex | Modifying network formats |
| to_slices | Splitting networks into lists |
| to_subgraph | Modifying networks scope |
| to_subgraphs | Splitting networks into lists |
| to_ties | Modifying networks projection |
| to_tree | Modifying networks paths |
| to_twomode | Modifying network levels |
| to_undirected | Modifying network formats |
| to_uniplex | Modifying network formats |
| to_unnamed | Modifying network formats |
| to_unsigned | Modifying network formats |
| to_unweighted | Modifying network formats |
| to_waves | Splitting networks into lists |
| to_weighted | Modifying network formats |
| tutorials | Open and extract code from tutorials |
-- W --
| write_edgelist | Making networks to external files |
| write_graphml | Making networks to external files |
| write_matrix | Making networks to external files |
| write_nodelist | Making networks to external files |
| write_pajek | Making networks to external files |
| write_ucinet | Making networks to external files |