# Many Ways to Make, Modify, Map, Mark, and Measure Myriad Networks

## Documentation for package ‘manynet’ version 1.3.2

- DESCRIPTION file.
- Package NEWS.

## Help Pages

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 --

scale_color_centres | Many scales
scale_color_ethz | Many scales
scale_color_iheid | Many scales
scale_color_rug | Many scales
scale_color_sdgs | Many scales
scale_color_uzh | Many scales
scale_colour_centres | Many scales
scale_colour_ethz | Many scales
scale_colour_iheid | Many scales
scale_colour_rug | Many scales
scale_colour_sdgs | Many scales
scale_colour_uzh | Many scales
scale_edge_color_centres | Many scales
scale_edge_color_ethz | Many scales
scale_edge_color_iheid | Many scales
scale_edge_color_rug | Many scales
scale_edge_color_sdgs | Many scales
scale_edge_color_uzh | Many scales
scale_edge_colour_centres | Many scales
scale_edge_colour_ethz | Many scales
scale_edge_colour_iheid | Many scales
scale_edge_colour_rug | Many scales
scale_edge_colour_sdgs | Many scales
scale_edge_colour_uzh | Many scales
scale_fill_centres | Many scales
scale_fill_ethz | Many scales
scale_fill_iheid | Many scales
scale_fill_rug | Many scales
scale_fill_sdgs | Many scales
scale_fill_uzh | Many scales
select_ties | Modifying tie data
set_manynet_theme | Many themes
summarise_ties | Modifying tie data

## -- 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