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

Documentation for package ‘manynet’ version 1.0.1

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-- A --

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	Modifying network classes
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_siena	Modifying network classes
as_tidygraph	Modifying network classes

-- B --

between_centrality	Measures of betweenness-like centrality and centralisation
bind_node_attributes	Modifying node data
bind_ties	Modifying tie data

-- C --

close_centrality	Measures of closeness-like centrality and centralisation
cluster	Methods for equivalence clustering
cluster_concor	Methods for equivalence clustering
cluster_hierarchical	Methods for equivalence clustering
configuration_layouts	Layout algorithms based on configurational positions
correlation	Node correlation
create	Making networks with defined structures
create_components	Making networks with defined structures
create_core	Making networks with defined structures
create_empty	Making networks with defined structures
create_explicit	Making networks with defined structures
create_filled	Making networks with defined structures
create_lattice	Making networks with defined structures
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
degree_centrality	Measures of degree-like centrality and centralisation
delete_nodes	Modifying node data
delete_ties	Modifying tie data

-- E --

eigenv_centrality	Measures of eigenvector-like centrality and centralisation
extract_tute	Open and extract code from tutorials

-- F --

features	Marking networks features
filter_nodes	Modifying node data
filter_ties	Modifying tie data
from	Joining lists of networks, graphs, and matrices
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	Making networks with a stochastic element
generate_configuration	Making networks with a stochastic element
generate_permutation	Making networks with a stochastic element
generate_random	Making networks with a stochastic element
generate_scalefree	Making networks with a stochastic element
generate_smallworld	Making networks with a stochastic element
generate_utilities	Making networks with a stochastic element
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 --

is	Marking networks classes
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_friends	One-mode Friends character connections (McNulty, 2020)
ison_greys	One-mode undirected network of characters hook-ups on Grey's Anatomy TV show
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_lotr	One-mode network of Lord of the Rings character interactions
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_monastery	Three one-mode signed, weighted networks and a three-wave longitudinal network of monks (Sampson 1969)
ison_monastery_esteem	Three one-mode signed, weighted networks and a three-wave longitudinal network of monks (Sampson 1969)
ison_monastery_influence	Three one-mode signed, weighted networks and a three-wave longitudinal network of monks (Sampson 1969)
ison_monastery_like	Three one-mode signed, weighted networks and a three-wave longitudinal network of monks (Sampson 1969)
ison_monastery_praise	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_potter	Six complex one-mode support data in Harry Potter books (Bossaert and Meidert 2013)
ison_southern_women	Two-mode southern women (Davis, Gardner and Gardner 1941)
ison_starwars	Seven one-mode Star Wars character interactions (Gabasova 2016)
ison_usstates	One-mode undirected network of US state contiguity (Meghanathan 2017)
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_format	Marking networks formats
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 --

kselect	Methods for selecting clusters
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_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_quad	Layout algorithms based on configurational positions
layout_tbl_graph_railway	Layout algorithms based on bi- or other partitions
layout_tbl_graph_triad	Layout algorithms based on configurational positions
learning	Making learning models on networks

-- M --

many_palettes	Many palettes generator
mark_core	Core-periphery clustering algorithms
mark_diff	Marking nodes based on diffusion properties
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
measure_attributes	Describing attributes of nodes or ties in a network
measure_closure	Measures of network closure
measure_cohesion	Measures of network cohesion or connectedness
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_infection	Measures of network infection
measure_net_diffusion	Measures of network diffusion
measure_node_diffusion	Measures of nodes in a diffusion
measure_periods	Measures of network change
measure_properties	Describing network properties
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
miss	Modifying missing tie data
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_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_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_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_exposure	Motifs of diffusion
node_by_path	Motifs at the nodal level
node_by_quad	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_diversity	Measures of network diversity
node_eccentricity	Measures of structural holes
node_efficiency	Measures of structural holes
node_effsize	Measures of structural holes
node_eigenvector	Measures of eigenvector-like centrality and centralisation
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_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	Motifs of brokerage
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_random	Marking nodes for selection based on measures
node_is_recovered	Marking nodes based on diffusion properties
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_thresholds	Measures of nodes in a diffusion
node_transitivity	Measures of network closure

-- O --

over	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 --

partition_layouts	Layout algorithms based on bi- or other partitions
play	Making diffusion models on networks
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

-- R --

read	Making networks from external files
read_dynetml	Making networks from external files
read_edgelist	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
reformat	Modifying network formats
rename	Modifying node data
rename_nodes	Modifying node data
rename_ties	Modifying tie data
run_tute	Open and extract code from tutorials

-- S --

scales	Many scales
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
split	Splitting networks into lists
summarise_ties	Modifying tie data

-- T --

table_data	Obtain overview of available network data
themes	Many themes
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_feedback	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_random	Marking ties for selection based on measures
tie_is_reciprocated	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_directed	Modifying network formats
to_egos	Splitting networks into lists
to_eulerian	Modifying networks paths
to_galois	Modifying networks projection
to_giant	Modifying networks scope
to_levels	Modifying network levels
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_paths	Modifying networks paths
to_project	Modifying networks projection
to_reciprocated	Modifying network formats
to_redirected	Modifying network formats
to_scope	Modifying networks scope
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
tutorials	Open and extract code from tutorials

-- W --

write	Making networks to external files
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