Package index • cograph

Base R plotting

splot.net_bootstrap() splot.tna_communities() splot.cograph_communities() splot.net_mlvar() splot.netobject() splot.boot_glasso() splot.wtna_mixed() splot.net_permutation() splot(): Base R Graphics Network Plotting
sn_save(): Save Network Visualization

Plotting based on `ggplot2`

soplot() sn_render(): Plot Cograph Network
sn_ggplot(): Convert Network to ggplot2
sn_save_ggplot(): Save as ggplot2

Transition Network Analysis

from_tna(): Convert a tna object to cograph parameters
plot_tna() tplot(): TNA-Style Network Plot (qgraph Compatible)
plot_htna() htna(): Plot Heterogeneous TNA Network (Multi-Group Layout)

Multi-Cluster TNA Network Plot

plot_mtna() mtna(): Multi-Cluster TNA Network Plot

Multilevel Network Visualization

plot_mlna() mlna(): Multilevel Network Visualization

Wrangling

Reshaping a network: selecting, thresholding, restructuring and editing. Every verb takes any supported input and returns a cograph_network.

network_wrangling: Network Wrangling Verbs
as_cograph() to_cograph() as.data.frame(<cograph_network>): Convert to Cograph Network
filter_edges() subset_edges(): Filter Edges by Metadata
filter_nodes() subset_nodes(): Filter Nodes by Metadata or Centrality
select_nodes(): Select Nodes
select_edges(): Select Edges
select_neighbors(): Select Node Neighbors (Ego Network)
select_component(): Select Connected Component
select_top(): Select Top N Nodes by Centrality
select_bridges(): Select Bridge Edges
select_top_edges(): Select Top N Edges
select_edges_involving(): Select Edges Involving Nodes
select_edges_between(): Select Edges Between Node Sets
select_k_core(): Select the k-Core of a Network
split_components(): Split a Network into Its Connected Components
threshold_edges(): Threshold Edges by Weight, Count, Proportion or Density
binarize(): Binarize Edge Weights
symmetrize(): Symmetrize a Directed Network
normalize_weights(): Normalize Edge Weights
invert_weights(): Invert Edge Weights (Similarity to Distance and Back)
to_undirected(): Convert a Directed Network to Undirected
to_directed(): Convert an Undirected Network to Directed
reverse_edges(): Reverse Edge Direction
remove_isolates(): Remove Isolated Nodes
contract_nodes(): Contract Nodes into Groups
spanning_tree(): Minimum or Maximum Spanning Tree
complement_network(): Complement of a Network
reorder_nodes(): Reorder the Nodes of a Network
rename_nodes(): Rename Nodes
add_nodes(): Add Nodes to a Network
remove_nodes(): Remove Nodes from a Network
add_edges(): Add Edges to a Network
remove_edges(): Remove Edges from a Network
mutate_nodes(): Add or Change Node Attributes
mutate_edges(): Add or Change Edge Attributes
bind_networks(): Combine Two Networks
simplify(): Simplify a Network

Network functions

cograph(): Create a Network Visualization
as_cograph() to_cograph() as.data.frame(<cograph_network>): Convert to Cograph Network
get_nodes() get_edges() get_labels() get_source() get_data() get_meta() set_nodes() set_edges() set_layout() set_groups() get_groups() nodes() is_directed() n_nodes() n_edges(): Access and Modify a Cograph Network
sn_edges(): Set Edge Aesthetics
sn_ggplot(): Convert Network to ggplot2
sn_nodes(): Set Node Aesthetics
sn_save(): Save Network Visualization
from_qgraph(): Convert a qgraph object to cograph parameters

Palettes

list_palettes() palette_rainbow() palette_colorblind() palette_pastel() palette_viridis() palette_blues() palette_reds() palette_diverging(): Color Palettes
sn_palette(): Apply Color Palette to Network

Shapes

register_shape() get_shape() list_shapes() register_svg_shape() list_svg_shapes() unregister_svg_shape(): Node Shapes

Themes

register_theme() get_theme() list_themes() theme_cograph_classic() theme_cograph_colorblind() theme_cograph_gray() theme_cograph_dark() theme_cograph_minimal() theme_cograph_viridis() theme_cograph_nature(): Themes
sn_theme(): Apply Theme to Network

Layouts

register_layout() get_layout() list_layouts(): Layout Registry
get_nodes() get_edges() get_labels() get_source() get_data() get_meta() set_nodes() set_edges() set_layout() set_groups() get_groups() nodes() is_directed() n_nodes() n_edges(): Access and Modify a Cograph Network
sn_layout(): Apply Layout to Network
layout_circle(): Circular Layout
layout_groups(): Group-based Layout
layout_oval(): Oval Layout
layout_spring(): Fruchterman-Reingold Spring Layout

Plotting analysis results

Motif Analysis

motif_census(): Network Motif Analysis
motifs() as.data.frame(<cograph_motif_result>): Network Motif Analysis
extract_motifs(): Extract Motifs from Network Data
extract_triads(): Extract Triads with Node Labels
triad_census(): Triad Census

All Other Functions

centrality(): Calculate Network Centrality Measures
centrality_access_information() centrality_hide_information(): Access and Hide Information
centrality_adaptive_leaderrank(): Adaptive LeaderRank
centrality_alpha(): Alpha Centrality
centrality_authority() centrality_hub(): HITS Authority and Hub Scores
centrality_average_distance(): Average Distance
centrality_barycenter(): Barycenter Centrality
centrality_beta_measure(): Beta Measure
centrality_betweenness(): Betweenness Centrality
centrality_bottleneck(): Bottleneck Centrality
centrality_bridging(): Bridging Centrality
centrality_bridging_capital(): Bridging Capital
centrality_brokerage_coordinator(): Coordinator Brokerage
centrality_brokerage_gatekeeper(): Gatekeeper Brokerage
centrality_brokerage_itinerant(): Itinerant Brokerage
centrality_brokerage_liaison(): Liaison Brokerage
centrality_brokerage_representative(): Representative Brokerage
centrality_cda(): Clustering Degree Algorithm
centrality_centroid(): Centroid Value
centrality_closeness() centrality_incloseness() centrality_outcloseness(): Closeness Centrality
centrality_closeness_vitality(): Closeness Vitality
centrality_clusterrank(): ClusterRank
centrality_coleman_theil(): Coleman-Theil Hierarchy Index
centrality_communicability(): Communicability Centrality
centrality_communicability_betweenness(): Communicability Betweenness
centrality_community_based() centrality_comm_centrality() centrality_community_mediator(): Community-Based Centralities
centrality_community_hub_bridge(): Community Hub-Bridge Centrality
centrality_constraint(): Burt's Constraint
centrality_controlrank(): ControlRank Centrality
centrality_coreness(): Coreness
centrality_cross_clique(): Cross-Clique Connectivity
centrality_current_flow_betweenness(): Current-Flow Betweenness
centrality_current_flow_closeness(): Current-Flow Closeness
centrality_dangalchev(): Dangalchev Closeness
centrality_decay(): Decay Centrality
centrality_degree() centrality_indegree() centrality_outdegree(): Degree Centrality
centrality_degree_discount() centrality_single_discount(): DegreeDiscountIC and SingleDiscount
centrality_diffusion(): Diffusion Centrality
centrality_diffusion_centrality(): Diffusion Centrality
centrality_dil(): Degree and Importance of Lines
centrality_distance_entropy(): Distance Entropy
centrality_diversity(): Diversity Centrality
centrality_dkgm(): DK-Based Gravity Model
centrality_dmnc(): Density of Maximum Neighborhood Component
centrality_dynamical_importance(): Dynamical Importance
centrality_dynamics_sensitive(): Dynamics-Sensitive Centrality
centrality_eccentricity() centrality_ineccentricity() centrality_outeccentricity(): Eccentricity
centrality_effective_size(): Effective Size
centrality_ehcc(): Extended Hybrid Characteristic Centrality
centrality_eigenvector(): Eigenvector Centrality
centrality_entropy(): Entropy Centrality
centrality_entropy_variation(): Entropy Variation
centrality_exogenous(): Exogenous Centrality
centrality_expected(): Expected Centrality
centrality_expected_force(): Expected Force Centrality
centrality_expected_influence_1(): One-Step Expected Influence
centrality_expected_influence_2(): Two-Step Expected Influence
centrality_extended_coreness(): Extended Neighborhood Coreness
centrality_extended_gravity(): Extended Gravity Centrality
centrality_extended_local_bridging(): Extended Local Bridging Centrality
centrality_extended_mixed_gravity(): Extended Mixed Gravitational Centrality
centrality_flow_betweenness(): Flow Betweenness
centrality_gateway(): Gateway Coefficient
centrality_generalized_closeness(): Generalized Closeness
centrality_gilschmidt(): Gil-Schmidt Power Index
centrality_global_structure(): Global Structure Model Centrality
centrality_graph_regularization(): Graph Regularization Centrality
centrality_gravity(): Gravity Centrality
centrality_harary(): Harary Centrality
centrality_harmonic() centrality_inharmonic() centrality_outharmonic(): Harmonic Centrality
centrality_hcc(): Hybrid Characteristic Centrality
centrality_heatmap() centrality_flow_coefficient() centrality_local_entropy() centrality_weighted_h_index() centrality_redundancy(): Heatmap, Flow Coefficient, Local Entropy, Weighted h-index and Redundancy
centrality_hubbell(): Hubbell Centrality
centrality_hybrid_global_structure(): Hybrid Global Structure Model Centrality
centrality_iec(): Immediate Effects Centrality
centrality_iira(): Improved Iterative Resource Allocation
centrality_improved_closeness(): Improved Closeness Centrality
centrality_improved_global_structure(): Improved Global Structure Model Centrality
centrality_information(): Information Centrality
centrality_integration(): Integration Centrality
centrality_ira(): Iterative Resource Allocation
centrality_katz(): Katz Centrality
centrality_ked(): KED Centrality
centrality_kreach(): Geodesic K-Reach Centrality
centrality_lac(): Local Average Connectivity
centrality_laplacian(): Laplacian Centrality
centrality_leaderrank(): LeaderRank Centrality
centrality_length_scaled_betweenness() centrality_delta_betweenness() centrality_ego_betweenness() centrality_delta_closeness(): Length-Scaled, Delta and Ego Betweenness, and Delta Closeness
centrality_leverage(): Leverage Centrality
centrality_lhc(): Lhc Index
centrality_lin(): Lin Centrality
centrality_linerank(): LineRank Centrality
centrality_lnc(): Local Neighbor Contribution Centrality
centrality_load(): Load Centrality
centrality_lobby(): Lobby Index
centrality_local_bridging(): Local Bridging Centrality
centrality_local_dimension(): Local Dimension
centrality_local_dimension_fixed() centrality_fuzzy_local_dimension() centrality_local_volume_dimension(): Fixed-Radius, Fuzzy and Volume Local Dimensions
centrality_local_efficiency() centrality_s_core() centrality_fragmentation() centrality_kpath() centrality_epc(): Local Efficiency, s-Core, Fragmentation, k-Path and EPC
centrality_local_information_dimension(): Local Information Dimensionality
centrality_localized_bridging(): Localized Bridging Centrality
centrality_malatya(): Malatya Centrality
centrality_map_equation(): Map Equation Centrality
centrality_markov(): Markov Centrality
centrality_mcc(): Maximal Clique Centrality
centrality_mcgm(): Multi-Characteristics Gravity Model Centrality
centrality_mixed_gravity(): Mixed Gravitational Centrality
centrality_mnc(): Maximum Neighborhood Component
centrality_modified_expected_force(): Modified Expected Force Centrality
centrality_modularity_vitality(): Modularity Vitality
centrality_ncvoterank(): NCVoteRank
centrality_neighbor_distance(): Neighborhood Centrality
centrality_neighborhood_connectivity(): Neighborhood Connectivity
centrality_ninl(): Node and Neighbor Layer Information Centrality
centrality_node_contraction() centrality_node_contraction_improved(): Node Contraction Centrality
centrality_pagerank(): PageRank Centrality
centrality_pairwisedis(): Pairwise Disconnectivity
centrality_participation(): Participation Coefficient
centrality_percolation(): Percolation Centrality
centrality_power(): Bonacich Power Centrality
centrality_prestige_domain(): Domain Prestige
centrality_prestige_domain_proximity(): Domain Proximity Prestige
centrality_proximal_betweenness(): Proximal Betweenness Centrality
centrality_radiality(): Radiality Centrality
centrality_random_walk(): Random Walk Centrality
centrality_random_walk_decay(): Random Walk Decay Centrality
centrality_reaching_local(): Local Reaching Centrality
centrality_relative_entropy(): Relative-Entropy Integrated Evaluation
centrality_residual_closeness(): Residual Closeness Centrality
centrality_resistance_curvature(): Resistance Curvature
centrality_rsp_betweenness(): Randomized Shortest Paths Betweenness Centrality
centrality_rumor(): Rumor Centrality
centrality_s_shell(): s-shell Index
centrality_salsa(): SALSA Authority Centrality
centrality_semilocal(): Semi-Local Centrality
centrality_shapley_game1() centrality_shapley_game2() centrality_shapley_game3(): Shapley Value Centrality
centrality_spectralrank(): SpectralRank Centrality
centrality_strength() centrality_instrength() centrality_outstrength(): Strength Centrality
centrality_stress(): Stress Centrality
centrality_subgraph(): Subgraph Centrality
centrality_topological_coefficient(): Topological Coefficient
centrality_transitivity(): Local Transitivity
centrality_truss() centrality_mdd() centrality_bridging_coefficient() centrality_godfather() centrality_support(): Truss, Mixed-Degree Decomposition, Bridging Coefficient, Godfather and Support
centrality_trust_pagerank(): Trust-PageRank
centrality_two_way_rw(): Two-Way Random Walk Betweenness
centrality_volume(): Volume Centrality
centrality_voterank(): VoteRank Centrality
centrality_weighted_kshell() centrality_renewed_coreness() centrality_geodesic_kpath(): Weighted k-shell, Renewed Coreness and Geodesic k-path
centrality_weighted_leaderrank(): Weighted LeaderRank
centrality_wiener(): Wiener Index Centrality
centrality_within_module_z(): Within-Module Degree Z-Score
centrality_wvoterank() centrality_enrenew() centrality_voterank_plus(): WVoteRank, EnRenew and VoteRank++
centrality_x_degree(): X-Degree Centrality
community_consensus() com_consensus(): Consensus Community Detection
community_edge_betweenness() com_eb(): Edge Betweenness Community Detection
community_fast_greedy() com_fg(): Fast Greedy Community Detection
community_fluid() com_fl(): Fluid Communities Detection
community_infomap() com_im(): Infomap Community Detection
community_label_propagation() com_lp(): Label Propagation Community Detection
community_leading_eigenvector() com_le(): Leading Eigenvector Community Detection
community_leiden() com_ld(): Leiden Community Detection
community_louvain() com_lv(): Louvain Community Detection
community_optimal() com_op(): Optimal Community Detection
community_sizes(): Get Community Sizes
community_spinglass() com_sg(): Spinglass Community Detection
community_walktrap() com_wt(): Walktrap Community Detection
select_bridges(): Select Bridge Edges
select_component(): Select Connected Component
select_edges(): Select Edges
select_edges_between(): Select Edges Between Node Sets
select_edges_involving(): Select Edges Involving Nodes
select_k_core(): Select the k-Core of a Network
select_neighbors(): Select Node Neighbors (Ego Network)
select_nodes(): Select Nodes
select_top(): Select Top N Nodes by Centrality
select_top_edges(): Select Top N Edges
filter_edges() subset_edges(): Filter Edges by Metadata
filter_nodes() subset_nodes(): Filter Nodes by Metadata or Centrality
network_bridges(): Bridge Edges
network_clique_size(): Largest Clique Size
network_cut_vertices(): Cut Vertices (Articulation Points)
network_girth(): Network Girth (Shortest Cycle Length)
network_global_efficiency(): Global Efficiency
network_local_efficiency(): Local Efficiency
network_radius(): Network Radius
network_rich_club(): Rich Club Coefficient
network_small_world(): Small-World Coefficient (Sigma)
network_summary(): Network-Level Summary Statistics
network_vertex_connectivity(): Network Vertex Connectivity
network_wrangling: Network Wrangling Verbs
as_cograph() to_cograph() as.data.frame(<cograph_network>): Convert to Cograph Network
to_data_frame() to_df(): Export Network as Edge List Data Frame
to_directed(): Convert an Undirected Network to Directed
to_igraph(): Convert Network to igraph Object
to_matrix(): Convert Network to Adjacency Matrix
to_network(): Convert Network to statnet network Object
to_undirected(): Convert a Directed Network to Undirected
plot(<cograph_communities>) plot(<cograph_core_periphery>) plot(<tna_disparity>) splot.tna_disparity() plot(<cograph_degree_fit>) plot(<cograph_motif_result>) plot_motifs() plot(<cograph_motif_analysis>) plot(<cograph_motifs>) splot.tna_bootstrap() plot_netobject_group() plot_netobject_ml() plot_net_bootstrap_group() plot_net_stability() splot.tna_permutation() splot.group_tna_permutation() plot_permutation() plot_group_permutation() plot(<cograph_rich_club>) plot(<cograph_vulnerability>): Plot Analysis Results
plot_alluvial(): Plot Alluvial Diagram
plot_bootstrap_forest(): Forest Plot for Bootstrap Network Results
plot_centrality(): Plot Centrality
plot_centrality_compare(): Plot Centrality Comparison
plot_centrality_distribution(): Plot Centrality Distribution
plot_centrality_heatmap(): Plot Centrality Heatmap
plot_chord(): Chord Diagram
plot_compare(): Plot Network Difference (alias of plot_difference)
plot_comparison_heatmap(): Plot Comparison Heatmap
plot_degree_correlation(): Plot Degree-Degree Correlation
plot_difference(): Plot Network Difference
plot_edge_diff_forest(): Forest Plot for Bootstrap Edge Differences
plot_edge_weights(): Plot Edge Weight Distribution
plot_heatmap(): Plot Network as Heatmap
plot_htna() htna(): Plot Heterogeneous TNA Network (Multi-Group Layout)
plot_mcml(): Plot Multi-Cluster Multi-Layer Network
plot_mixed_network(): Plot Mixed Network
plot_ml_heatmap(): Multilayer Network Heatmap
plot_mlna() mlna(): Multilevel Network Visualization
plot_mtna() mtna(): Multi-Cluster TNA Network Plot
plot_network_evolution(): Plot Network Evolution (Small Multiples)
plot_robustness(): Plot Network Robustness
plot_simplicial(): Simplicial Complex Visualization
plot_temporal(): Temporal Network Prism (3D Glass Box)
plot_tna() tplot(): TNA-Style Network Plot (qgraph Compatible)
plot_trajectories(): Plot Individual Trajectories
plot_transitions(): Plot Transitions Between States
CographLayout: CographLayout R6 Class
CographNetwork: CographNetwork R6 Class
CographTheme: CographTheme R6 Class
aggregate_layers() lagg(): Aggregate Layers
aggregate_weights() wagg(): Aggregate Edge Weights
cluster_quality() cqual(): Cluster Quality Metrics
csum(): Cluster Summary Statistics
summarize_clusters(): Build MCML from Raw Transition Data
cograph-package: cograph: Modern Network Visualization for R
color_communities(): Color Nodes by Community
communities(): Community Detection
compare_communities(): Compare Community Structures
degree_distribution(): Degree Distribution Visualization
detect_communities(): Detect Communities in a Network
edge_centrality() edge_betweenness(): Calculate Edge Centrality Measures
get_edge_list(): Extract Raw Edge List from TNA Model
get_nodes() get_edges() get_labels() get_source() get_data() get_meta() set_nodes() set_edges() set_layout() set_groups() get_groups() nodes() is_directed() n_nodes() n_edges(): Access and Modify a Cograph Network
register_shape() get_shape() list_shapes() register_svg_shape() list_svg_shapes() unregister_svg_shape(): Node Shapes
ggplot_robustness(): Compare Network Robustness (ggplot2)
is_tna_network(): Check if Network is TNA-based
membership(): Get Community Membership
mcml(): Deprecated Alias for csum
n_communities(): Get Number of Communities
robustness(): Network Robustness Analysis
robustness_auc(): Calculate Area Under Robustness Curve (AUC)
robustness_summary(): Summary of Robustness Analysis
supra_adjacency() supra(): Supra-Adjacency Matrix
supra_interlayer() extract_interlayer(): Extract Inter-Layer Block
supra_layer() extract_layer(): Extract Layer from Supra-Adjacency Matrix
verify_with_igraph() verify_igraph(): Verify Against igraph
layer_degree_correlation() ldegcor(): Degree Correlation Between Layers
layer_similarity() lsim(): Layer Similarity
layer_similarity_matrix() lsim_matrix(): Pairwise Layer Similarities
splot.net_bootstrap() splot.tna_communities() splot.cograph_communities() splot.net_mlvar() splot.netobject() splot.boot_glasso() splot.wtna_mixed() splot.net_permutation() splot(): Base R Graphics Network Plotting
abbrev_label() label_abbrev(): Abbreviate Labels
add_edges(): Add Edges to a Network
add_nodes(): Add Nodes to a Network
as_mcml(): Convert to mcml
as_tna(): Convert cluster_summary to tna Objects
assortativity(): Degree Assortativity Coefficient
assortativity_attribute() homophily(): Attribute Assortativity (Homophily)
binarize(): Binarize Edge Weights
bind_networks(): Combine Two Networks
centralization(): Centralization index
cluster_significance() csig(): Test Significance of Community Structure
cograph(): Create a Network Visualization
complement_network(): Complement of a Network
contract_nodes(): Contract Nodes into Groups
core_periphery(): Detect Core-Periphery Structure
disparity_filter(): Disparity Filter
dispersion(): Dispersion (Backstrom-Kleinberg 2014)
dyad_census(): Dyad Census
edge_reciprocity(): Edge Reciprocity
ego_networks(): Ego-Network Metrics
estrada_index(): Estrada Index
extract_motifs(): Extract Motifs from Network Data
extract_triads(): Extract Triads with Node Labels
fit_degree_distribution(): Fit Statistical Distributions to Degree Sequence
from_qgraph(): Convert a qgraph object to cograph parameters
from_tna(): Convert a tna object to cograph parameters
group_centrality(): Group Centrality (Everett-Borgatti 1999)
coding coding_detailed ai_coding ai_detailed human_ai human_ai_detailed: Human-AI Interaction Coding Sequences
invert_weights(): Invert Edge Weights (Similarity to Distance and Back)
is_bipartite(): Check if a Matrix Could Be Bipartite
k_shortest_paths(): Find K Shortest Loopless Paths (Yen's Algorithm)
layout_circle(): Circular Layout
layout_groups(): Group-based Layout
layout_oval(): Oval Layout
register_layout() get_layout() list_layouts(): Layout Registry
layout_saqr(): Saqr Layout (Start/End transition flow)
layout_spring(): Fruchterman-Reingold Spring Layout
layout_target(): Target Layout (focal-node, topological)
list_centralities(): Catalogue of the Centrality Measures
motif_census(): Network Motif Analysis
motifs() as.data.frame(<cograph_motif_result>): Network Motif Analysis
mutate_edges(): Add or Change Edge Attributes
mutate_nodes(): Add or Change Node Attributes
neighborhood_overlap(): Neighborhood Overlap (Jaccard) for Each Edge
normalize_weights(): Normalize Edge Weights
overlay_communities(): Overlay Community Blobs on a Network Plot
list_palettes() palette_rainbow() palette_colorblind() palette_pastel() palette_viridis() palette_blues() palette_reds() palette_diverging(): Color Palettes
panel_layout(): Configure a custom multi-panel layout
project_bipartite(): Project Bipartite Network to One-Mode
reaching_global(): Global Reaching Centrality (Mones, Vicsek & Vicsek 2012)
regulation_net: Learning Regulation Transition Network
remove_edges(): Remove Edges from a Network
remove_isolates(): Remove Isolated Nodes
remove_nodes(): Remove Nodes from a Network
rename_nodes(): Rename Nodes
render-ggplot: ggplot2 Conversion
render-grid: Grid Rendering
reorder_nodes(): Reorder the Nodes of a Network
reverse_edges(): Reverse Edge Direction
rich_club(): Rich Club Coefficient
rich_club_local(): Local Rich Club Score
shortest_paths(): Compute Shortest Path Distances
simmelian_strength(): Simmelian Strength (Triangle Count per Edge)
simplify(): Simplify a Network
sn_edges(): Set Edge Aesthetics
sn_ggplot(): Convert Network to ggplot2
sn_layout(): Apply Layout to Network
sn_nodes(): Set Node Aesthetics
sn_palette(): Apply Color Palette to Network
sn_save(): Save Network Visualization
sn_save_ggplot(): Save as ggplot2
sn_theme(): Apply Theme to Network
soplot() sn_render(): Plot Cograph Network
spanning_tree(): Minimum or Maximum Spanning Tree
split_components(): Split a Network into Its Connected Components
student_interactions: Student Interaction Edge List
subgraphs(): Extract Specific Motif Instances (Subgraphs)
summarize_network() cnet(): Summarize Network by Clusters
symmetrize(): Symmetrize a Directed Network
register_theme() get_theme() list_themes() theme_cograph_classic() theme_cograph_colorblind() theme_cograph_gray() theme_cograph_dark() theme_cograph_minimal() theme_cograph_viridis() theme_cograph_nature(): Themes
threshold_edges(): Threshold Edges by Weight, Count, Proportion or Density
triad_census(): Triad Census
trophic_incoherence(): Trophic Incoherence Parameter
vulnerability(): Node Vulnerability