Package index • netify

Creating Networks

Functions for constructing netify objects

netify(): Create network object from various data types
new_netify(): Low-level constructor for netify objects
layer_netify(): Create multilayer networks from multiple netify objects
ego_netify(): Create ego network from a netify object
to_netify(): Convert igraph, network, or matrix objects to netify format
pivot_dyad_to_network(): Pivot a dyadic variable to become the network

Adding Attributes

Add nodal and dyadic attributes

add_node_vars() add_vertex_attributes(): Add nodal variables to a netify object
add_dyad_vars() add_edge_attributes(): Add dyadic variables to a netify object

Manipulating Networks

Subset, transform, and reshape networks

subset_netify(): Internal subset function for netify objects
subset(<netify>): Subset netify objects
mutate_weights(): Mutate edge weights in a netify object
aggregate_dyad(): Aggregate dyadic event data by actor pairs
decompose_netify(): Decompose a netify object into edge and node data frames
gen_symm_id(): Generate symmetric identifiers for dyadic data

Analysis

Network statistics and comparisons

summary(<netify>): Calculate graph-level statistics for netify objects
summary(<netify_comparison>): Summary method for netify_comparison objects
summary_actor(): Calculate actor-level network statistics
netify_measurements() measurements(): Extract measurements and dimensions from a netify object
compare_networks(): Compare networks across time, layers, or attributes
print(<netify_comparison>): Print method for netify_comparison objects
homophily(): Analyze homophily in network data
mixing_matrix(): Create attribute mixing matrices for network data
dyad_correlation(): Analyze correlations between dyadic attributes and network ties
attribute_report(): Comprehensive summary of network-attribute relationships
get_actor_time_info(): Extract actor time range information from dyadic data

Visualization

Plot networks and statistics

plot(<netify>): Plotting method for netify objects
plot_actor_stats(): Visualize actor-level network statistics
plot_graph_stats(): Visualize network-level statistics
plot_homophily(): Visualize homophily analysis results
plot_mixing_matrix(): Visualize attribute mixing matrix results
plot_mixing_matrix_facet(): Create a multi-panel mixing matrix visualization
theme_netify(): theme_netify function
theme_stat_netify(): theme_stat_netify function
list_network_styles(): List available network styles
list_palettes(): List available color palettes

Plot Styles

Pre-built visual style presets

style_random(): Apply random network style
style_budapest(): Wes Anderson-inspired network style (Grand Budapest Hotel)
style_economist(): Economist-style network style
style_538(): FiveThirtyEight-inspired network style
style_solarized(): Solarized-inspired network style
style_stata(): Stata-inspired network style
style_nature(): Nature journal-inspired network style
style_cyberpunk(): Cyberpunk-inspired network style
style_tufte(): Minimal Tufte-inspired network style
style_pastel(): Pastel rainbow network style
style_retro80s(): Retro 80s-inspired network style
style_dark2(): ColorBrewer Dark2-based network style
style_bipartite_network(): Preset style for bipartite networks
style_temporal_network(): Preset style for temporal/longitudinal networks
style_witcher_feline(): Witcher 3 Feline School network style
style_witcher_griffin(): Witcher 3 Griffin School network style
style_witcher_wolven(): Witcher 3 Wolven School network style
style_witcher_ursine(): Witcher 3 Ursine School network style
style_witcher_manticore(): Witcher 3 Manticore School network style (bonus)
style_witcher_viper(): Witcher 3 Viper School network style (bonus)
style_pokemon_pikachu(): Pokemon-style network style (Pikachu)
style_secretariat(): Secretariat-style network style

Plot Components

Low-level plot building blocks

net_plot_data(): Prepare netify data for network visualization
get_node_layout(): Calculate node layout positions for netify visualization
get_edge_layout(): Generate edge layout coordinates for netify visualization
get_ego_layout(): Calculate ego-centric layout positions for network visualization
create_hierarchical_ego_layout() create_radial_ego_layout() create_ego_centric_layout(): Create ego-centric layouts for ego networks
remove_ego_edges(): Remove ego-alter edges from ego network
assemble_netify_plot(): Assemble netify plot from components
netify_edge(): Extract edges layer from netify plot components
netify_node(): Extract nodes layer from netify plot components
netify_text(): Extract text layer from netify plot components
netify_label(): Extract label layer from netify plot components
netify_text_repel(): Extract text_repel layer from netify plot components
netify_label_repel(): Extract label_repel layer from netify plot components
netify_scale_labels(): Set scale labels for netify plots
reset_scales(): Reset aesthetic scales in ggplot
plot_with_style(): Apply style to netify plot
validate_plot_params(): Validate plot parameters and warn about common mistakes
print(<netify_plot_components>): Print netify plot components
ggplot_add(<netify_edge>): Add netify_edge to ggplot
ggplot_add(<netify_node>): Add netify_node to ggplot
ggplot_add(<netify_text>): Add netify_text to ggplot
ggplot_add(<netify_label>): Add netify_label to ggplot
ggplot_add(<netify_text_repel>): Add netify_text_repel to ggplot
ggplot_add(<netify_label_repel>): Add netify_label_repel to ggplot
ggplot_add(<netify_scale_reset>): Add scale resets to ggplot
ggplot_add(<netify_labels>): Add netify scale labels to ggplot

Conversion

Convert between netify and other formats

netify_to_igraph() to_igraph(): Convert netify objects to igraph format
netify_to_statnet() netify_to_network() to_statnet() to_network(): Convert netify objects to statnet network format
netify_to_amen() to_amen(): Convert netify objects to amen format
unnetify() netify_to_df(): Convert netify objects back to dyadic data frames
melt(): Melt methods for netify objects
decompose_igraph(): Decompose an igraph object into base R components
decompose_statnet() decompose_network(): Decompose a network object into base R components

Inspection

Examine and extract from netify objects

print(<netify>): Print method for netify objects
peek(): Preview subsets of network data from netify objects
get_raw(): Get raw network data without netify attributes
get_adjacency(): Create a netify matrix from cross-sectional dyadic data
get_adjacency_array(): Create a netify array from longitudinal dyadic data
get_adjacency_list(): Create a netify list from longitudinal dyadic data
is_netify(): Is this object a netify object?

Data

Example datasets

icews: Event data slice from ICEWS
mexico: Event data slice from UCDP on Mexico
myanmar: Event data slice from UCDP on Myanmar