Package: netrics 1.1.2

netrics: Many Marks, Measures, Memberships, and Motifs for Networks
Many tools for calculating network, node, or tie marks, measures, motifs and memberships of many different types of networks. Marks identify structural positions, measures quantify network properties, memberships classify nodes into groups, and motifs tabulate substructure participation. All functions operate with all classes of network data covered in 'manynet', and on directed, undirected, multiplex, multimodal, signed, and other networks.
Authors:
netrics_1.1.2.tar.gz
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netrics_1.1.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
netrics/json (API)
| # Install 'netrics' in R: |
| install.packages('netrics', repos = c('https://stocnet.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/stocnet/netrics/issues
Pkgdown/docs site:https://stocnet.github.io
centralitycommunity-detectionnetwork-analysisresiliencetopology
Last updated from:503e4de59f. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 301 | ||
| source / vignettes | OK | 175 | ||
| linux-release | OK | 298 | ||
| macos-release | OK | 232 | ||
| macos-oldrel | OK | 207 | ||
| windows-devel | OK | 299 | ||
| windows-release | OK | 262 | ||
| windows-oldrel | OK | 363 | ||
| wasm-release | OK | 106 |
Exports:cluster_concorcluster_cosinecluster_hierarchicalcoreness_correlationcoreness_hubcoreness_richcoreness_transitionk_elbowk_gapk_silhouettek_strictmode_by_betweennessmode_by_closenessmode_by_degreemode_by_eigenvectormode_by_indegreemode_by_outdegreenet_by_accuracynet_by_adhesionnet_by_assortativitynet_by_balancenet_by_betweennessnet_by_bipartivitynet_by_closenessnet_by_cohesionnet_by_compactnessnet_by_componentsnet_by_congruencynet_by_connectednessnet_by_corenet_by_cyclicalitynet_by_decaynet_by_degreenet_by_densitynet_by_diameternet_by_divergencenet_by_diversitynet_by_efficiencynet_by_eigenvectornet_by_equivalencynet_by_factionsnet_by_harmonicnet_by_heterophilynet_by_homophilynet_by_immunitynet_by_inconsistencynet_by_indegreenet_by_independencenet_by_infection_completenet_by_infection_peaknet_by_infection_totalnet_by_integrationnet_by_lengthnet_by_linkdensitynet_by_meshednessnet_by_modularitynet_by_outdegreenet_by_reachnet_by_reciprocitynet_by_recoverynet_by_reproductionnet_by_richclubnet_by_richnessnet_by_robustnessnet_by_scalefreenet_by_smallworldnet_by_spatialnet_by_strengthnet_by_toughnessnet_by_transitivitynet_by_transmissibilitynet_by_upperboundnet_by_wavesnet_x_brokeragenet_x_changenet_x_correlationnet_x_dyadnet_x_hazardnet_x_hierarchynet_x_homophilynet_x_mixednet_x_stabilitynet_x_tetradnet_x_triadnode_by_accuracynode_by_adopt_exposurenode_by_adopt_recoverynode_by_adopt_thresholdnode_by_adopt_timenode_by_alphanode_by_authoritynode_by_betweennessnode_by_bridgesnode_by_brokering_activitynode_by_brokering_exclusivitynode_by_closenessnode_by_constraintnode_by_corenode_by_corenessnode_by_decaynode_by_degnode_by_degreenode_by_distancenode_by_diversitynode_by_eccentricitynode_by_efficiencynode_by_effsizenode_by_eigenvectornode_by_equivalencynode_by_flownode_by_harmonicnode_by_heterophilynode_by_hierarchynode_by_homophilynode_by_hubnode_by_indegreenode_by_inducednode_by_informationnode_by_integrationnode_by_kcorenessnode_by_leveragenode_by_multidegreenode_by_neighbours_degreenode_by_outdegreenode_by_pageranknode_by_posnegnode_by_powernode_by_radialitynode_by_randomwalknode_by_reachnode_by_reciprocitynode_by_redundancynode_by_richnessnode_by_stressnode_by_subgraphnode_by_transitivitynode_by_vitalitynode_in_adopternode_in_automorphicnode_in_betweennessnode_in_blocknode_in_brokeringnode_in_communitynode_in_componentnode_in_corenode_in_eigennode_in_equivalencenode_in_factionnode_in_fluidnode_in_greedynode_in_infomapnode_in_labelsnode_in_leidennode_in_louvainnode_in_motifnode_in_optimalnode_in_partitionnode_in_regularnode_in_roulettenode_in_spinglassnode_in_strongnode_in_structuralnode_in_walktrapnode_in_weaknode_is_corenode_is_cutpointnode_is_exposednode_is_foldnode_is_independentnode_is_infectednode_is_isolatenode_is_latentnode_is_maxnode_is_meannode_is_mentornode_is_minnode_is_neighbornode_is_pendantnode_is_randomnode_is_recoverednode_is_universalnode_x_accuracynode_x_altersnode_x_brokeragenode_x_cliquenode_x_dyadnode_x_exposurenode_x_pathnode_x_percolationnode_x_similaritynode_x_tetradnode_x_tienode_x_tiesnode_x_triadregularity_regeregularity_rolesimsearch_iteratedsearch_tabusplit_binssplit_kmeanssplit_quantilestie_by_betweennesstie_by_closenesstie_by_cohesiontie_by_degreetie_by_diversitytie_by_eigenvectortie_in_communitytie_is_bridgetie_is_cyclicaltie_is_feedbacktie_is_imbalancedtie_is_looptie_is_maxtie_is_mintie_is_multipletie_is_pathtie_is_randomtie_is_reciprocatedtie_is_simmeliantie_is_transitivetie_is_triangulartie_is_triplet
Dependencies:clicodacpp11dplyrgenericsglueigraphlatticelifecyclemagrittrmanynetMatrixnetworkpillarpkgconfigpurrrR6rlangstatnet.commonstringistringrtibbletidygraphtidyrtidyselectutf8vctrswithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Marks of nodes as core or periphery | mark_core node_is_core |
| Marks of nodes based on degree properties | mark_degree node_is_isolate node_is_pendant node_is_universal |
| Marks of nodes based on diffusion properties | mark_diff node_is_exposed node_is_infected node_is_latent node_is_recovered |
| Marks of ties based on dyadic properties | mark_dyads tie_is_multiple tie_is_reciprocated |
| Marks of nodes based on structural properties | mark_nodes node_is_cutpoint node_is_fold node_is_independent node_is_mentor node_is_neighbor |
| Marks of nodes based on measures | mark_select_node node_is_max node_is_mean node_is_min node_is_random |
| Marks of ties based on measures | mark_select_tie tie_is_max tie_is_min tie_is_random |
| Marks of ties based on structural properties | mark_ties tie_is_bridge tie_is_feedback tie_is_loop tie_is_path |
| Marks of ties based on triangular properties | mark_triangles tie_is_cyclical tie_is_imbalanced tie_is_simmelian tie_is_transitive tie_is_triangular tie_is_triplet |
| Measures of network accuracy | measure_accuracy_net net_by_accuracy |
| Measures of reporter accuracy | measure_accuracy_node node_by_accuracy |
| Measures of network assortativity | measure_assort_net net_by_assortativity net_by_heterophily net_by_homophily net_by_spatial |
| Measures of node assortativity | measure_assort_node node_by_heterophily node_by_homophily |
| Measures of network breadth | measure_breadth net_by_diameter net_by_length |
| Measures of node brokerage | measure_broker_node node_by_bridges node_by_constraint node_by_efficiency node_by_effsize node_by_hierarchy node_by_neighbours_degree node_by_redundancy |
| Measures of tie brokerage | measure_broker_tie tie_by_cohesion |
| Measures of brokerage | measure_brokerage node_by_brokering_activity node_by_brokering_exclusivity |
| Measures of node betweenness-like centrality | measure_central_between node_by_betweenness node_by_flow node_by_induced node_by_stress |
| Measures of node closeness-like centrality | measure_central_close node_by_closeness node_by_decay node_by_distance node_by_eccentricity node_by_harmonic node_by_information node_by_integration node_by_radiality node_by_randomwalk node_by_reach node_by_vitality |
| Measures of node degree-like centrality | measure_central_degree node_by_deg node_by_degree node_by_indegree node_by_leverage node_by_multidegree node_by_outdegree |
| Measures of node eigenvector-like centrality | measure_central_eigen node_by_alpha node_by_authority node_by_eigenvector node_by_hub node_by_pagerank node_by_posneg node_by_power node_by_subgraph |
| Measures of tie betweenness-like centrality | measure_central_tie_between tie_by_betweenness |
| Measures of tie closeness-like centrality | measure_central_tie_close tie_by_closeness |
| Measures of tie degree-like centrality | measure_central_tie_degree tie_by_degree |
| Measures of tie eigenvector-like centrality | measure_central_tie_eigen tie_by_eigenvector |
| Measures of network betweenness-like centralisation | measure_centralisation_between mode_by_betweenness net_by_betweenness |
| Measures of network closeness-like centralisation | measure_centralisation_close mode_by_closeness net_by_closeness net_by_decay net_by_harmonic net_by_integration net_by_reach |
| Measures of network degree-like centralisation | measure_centralisation_degree mode_by_degree mode_by_indegree mode_by_outdegree net_by_degree net_by_indegree net_by_outdegree |
| Measures of network eigenvector-like centralisation | measure_centralisation_eigen mode_by_eigenvector net_by_eigenvector |
| Measures of network closure | measure_closure net_by_congruency net_by_cyclicality net_by_equivalency net_by_reciprocity net_by_transitivity |
| Measures of node closure | measure_closure_node node_by_equivalency node_by_reciprocity node_by_transitivity |
| Measures of network cohesion | measure_cohesion net_by_compactness net_by_components net_by_density net_by_independence |
| Measures of node coreness | measure_core node_by_core node_by_kcoreness |
| Measures of network infection | measure_diffusion_infection net_by_infection_complete net_by_infection_peak net_by_infection_total |
| Measures of network diffusion | measure_diffusion_net net_by_immunity net_by_recovery net_by_reproduction net_by_transmissibility |
| Measures of nodes in a diffusion | measure_diffusion_node node_by_adopt_exposure node_by_adopt_recovery node_by_adopt_threshold node_by_adopt_time |
| Measures of network diversity | measure_diverse_net net_by_diversity net_by_richness |
| Measures of node diversity | measure_diverse_node node_by_diversity node_by_richness |
| Measures of tie diversity | measure_diverse_tie tie_by_diversity |
| Measures of network topological features | measure_features net_by_balance net_by_bipartivity net_by_meshedness net_by_richclub net_by_scalefree net_by_smallworld |
| Measures of how well a structure fits a network | measure_fit net_by_core net_by_divergence net_by_factions net_by_inconsistency net_by_linkdensity net_by_modularity |
| Measures of network fragmentation | measure_fragmentation net_by_adhesion net_by_cohesion net_by_robustness net_by_strength net_by_toughness |
| Measures of hierarchy | measure_hierarchy net_by_connectedness net_by_efficiency net_by_upperbound |
| Measures of network change | measure_periods net_by_waves |
| Memberships in brokerage positions | member_brokerage node_in_brokering |
| Memberships in maximally diverse cliques | member_cliques node_in_roulette |
| Memberships in communities | member_community node_in_community |
| Memberships in communities that form a hierarchy | member_community_hier node_in_betweenness node_in_eigen node_in_greedy node_in_walktrap |
| Memberships of ties in link communities | member_community_link tie_in_community |
| Memberships in communities that optimise a quality function | member_community_modular node_in_leiden node_in_louvain node_in_optimal node_in_spinglass |
| Memberships in communities that fill a set number of groups | member_community_partition node_in_faction node_in_partition |
| Memberships in communities that follow a spreading process | member_community_spread node_in_fluid node_in_infomap node_in_labels |
| Memberships in components | member_components node_in_component |
| Memberships in core-periphery categories | member_core node_in_core |
| Memberships in a diffusion process | member_diffusion node_in_adopter |
| Memberships in equivalent classes | member_equivalence node_in_automorphic node_in_block node_in_equivalence node_in_motif node_in_regular node_in_structural |
| Methods for equivalence clustering | cluster_concor cluster_cosine cluster_hierarchical method_cluster |
| Methods for calculating coreness | coreness_correlation coreness_hub coreness_rich coreness_transition method_coreness |
| Methods for selecting clusters | k_elbow k_gap k_silhouette k_strict method_kselect |
| Methods for calculating regularity | method_regularity regularity_rege regularity_rolesim |
| Methods for searching for the membership that minimises a cost | method_search search_iterated search_tabu |
| Methods for splitting a continuous score into ordered groups | method_split split_bins split_kmeans split_quantiles |
| Motifs of reporter accuracy | motif_accuracy_node node_x_accuracy |
| Motifs of network brokerage | motif_brokerage_net net_x_brokerage |
| Motifs of node brokerage | motif_brokerage_node node_x_brokerage |
| Motifs of clique participation | motif_clique node_x_clique node_x_percolation |
| Motifs of ego-network composition | motif_composition node_x_alters node_x_similarity node_x_ties |
| Motifs of node exposure | motif_exposure node_x_exposure |
| Motifs of network hazard | motif_hazard net_x_hazard |
| Motifs of network hierarchy | motif_hierarchy net_x_hierarchy |
| Motifs of network homophily | motif_homophily net_x_homophily |
| Motifs of network cohesion | motif_net net_x_dyad net_x_tetrad net_x_triad |
| Motifs of node cohesion | motif_node node_x_dyad node_x_tetrad node_x_triad |
| Motifs of node pathing | motif_path node_x_path node_x_tie |
| Motifs of network change | motif_periods net_x_change net_x_correlation net_x_stability |