Package: netrics 0.2.2

netrics: Many Ways to Measure and Classify Membership for Networks, Nodes, and Ties
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_0.2.2.tar.gz
netrics_0.2.2.zip(r-4.7)netrics_0.2.2.zip(r-4.6)netrics_0.2.2.zip(r-4.5)
netrics_0.2.2.tgz(r-4.6-any)netrics_0.2.2.tgz(r-4.5-any)
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netrics_0.2.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
netrics/json (API)
NEWS
| # 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:4541ed3a3e. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 183 | ||
| source / vignettes | OK | 177 | ||
| linux-release-x86_64 | OK | 175 | ||
| macos-release-arm64 | OK | 146 | ||
| macos-oldrel-arm64 | OK | 102 | ||
| windows-devel | OK | 188 | ||
| windows-release | OK | 187 | ||
| windows-oldrel | OK | 170 | ||
| wasm-release | OK | 116 |
Exports:%>%cluster_concorcluster_cosinecluster_hierarchicalk_elbowk_gapk_silhouettek_strictnet_by_adhesionnet_by_assortativitynet_by_balancenet_by_betweennessnet_by_closenessnet_by_cohesionnet_by_componentsnet_by_congruencynet_by_connectednessnet_by_corenet_by_degreenet_by_densitynet_by_diameternet_by_diversitynet_by_efficiencynet_by_eigenvectornet_by_equivalencynet_by_factionsnet_by_harmonicnet_by_heterophilynet_by_homophilynet_by_immunitynet_by_indegreenet_by_independencenet_by_infection_completenet_by_infection_peaknet_by_infection_totalnet_by_lengthnet_by_modularitynet_by_outdegreenet_by_reachnet_by_reciprocitynet_by_recoverynet_by_reproductionnet_by_richclubnet_by_richnessnet_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_mixednet_x_stabilitynet_x_tetradnet_x_triadnode_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_corenessnode_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_kcorenessnode_by_leveragenode_by_multidegreenode_by_neighbours_degreenode_by_outdegreenode_by_pageranknode_by_posnegnode_by_powernode_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_brokeringnode_in_communitynode_in_componentnode_in_corenode_in_eigennode_in_equivalencenode_in_fluidnode_in_greedynode_in_infomapnode_in_leidennode_in_louvainnode_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_brokeragenode_x_dyadnode_x_exposurenode_x_pathnode_x_tetradnode_x_tienode_x_triadtie_by_betweennesstie_by_closenesstie_by_cohesiontie_by_degreetie_by_eigenvectortie_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 |
|---|---|
| Marking nodes as core or periphery | mark_core node_is_core |
| Marking nodes based on degree properties | mark_degree node_is_isolate node_is_pendant node_is_universal |
| Marking nodes based on diffusion properties | mark_diff node_is_exposed node_is_infected node_is_latent node_is_recovered |
| Marking ties based on dyadic properties | mark_dyads tie_is_multiple tie_is_reciprocated |
| Marking nodes based on structural properties | mark_nodes node_is_cutpoint node_is_fold node_is_independent node_is_mentor node_is_neighbor |
| Marking nodes based on measures | mark_select_node node_is_max node_is_mean node_is_min node_is_random |
| Marking ties based on measures | mark_select_tie tie_is_max tie_is_min tie_is_random |
| Marking ties based on structural properties | mark_ties tie_is_bridge tie_is_feedback tie_is_loop tie_is_path |
| Marking 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 assortativity | measure_assort_net net_by_assortativity net_by_heterophily net_by_homophily net_by_spatial |
| Measures of nodes assortativity | measure_assort_node node_by_heterophily node_by_homophily |
| Measures of network breadth | measure_breadth net_by_diameter net_by_length |
| Measuring nodes 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 |
| Measuring ties brokerage | measure_broker_tie tie_by_cohesion |
| Measures of brokerage | measure_brokerage node_by_brokering_activity node_by_brokering_exclusivity |
| Measuring nodes betweenness-like centrality | measure_central_between node_by_betweenness node_by_flow node_by_induced node_by_stress |
| Measuring nodes closeness-like centrality | measure_central_close node_by_closeness node_by_distance node_by_eccentricity node_by_harmonic node_by_information node_by_randomwalk node_by_reach node_by_vitality |
| Measuring nodes degree-like centrality | measure_central_degree node_by_deg node_by_degree node_by_indegree node_by_leverage node_by_multidegree node_by_outdegree node_by_posneg |
| Measuring nodes eigenvector-like centrality | measure_central_eigen node_by_alpha node_by_authority node_by_eigenvector node_by_hub node_by_pagerank node_by_power node_by_subgraph |
| Measuring networks betweenness-like centralisation | measure_centralisation_between net_by_betweenness |
| Measuring networks closeness-like centralisation | measure_centralisation_close net_by_closeness net_by_harmonic net_by_reach |
| Measuring networks degree-like centralisation | measure_centralisation_degree net_by_degree net_by_indegree net_by_outdegree |
| Measuring networks eigenvector-like centralisation | measure_centralisation_eigen net_by_eigenvector |
| Measuring ties betweenness-like centrality | measure_centralities_between tie_by_betweenness |
| Measuring ties closeness-like centrality | measure_centralities_close tie_by_closeness |
| Measuring ties degree-like centrality | measure_centralities_degree tie_by_degree |
| Measuring ties eigenvector-like centrality | measure_centralities_eigen tie_by_eigenvector |
| Measuring network closure | measure_closure net_by_congruency net_by_equivalency net_by_reciprocity net_by_transitivity |
| Measuring node closure | measure_closure_node node_by_equivalency node_by_reciprocity node_by_transitivity |
| Measures of network cohesion | measure_cohesion net_by_components net_by_density net_by_independence |
| Measuring nodes' coreness | measure_core node_by_coreness 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 nodes diversity | measure_diverse_node node_by_diversity node_by_richness |
| Measuring network topological features | measure_features net_by_balance net_by_core net_by_factions net_by_modularity net_by_richclub net_by_scalefree net_by_smallworld |
| Measures of network fragmentation | measure_fragmentation net_by_adhesion net_by_cohesion 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 hierarchical communities | member_community_hier node_in_betweenness node_in_eigen node_in_greedy node_in_walktrap |
| Memberships in non-hierarchical communities | member_community_non node_in_fluid node_in_infomap node_in_leiden node_in_louvain node_in_optimal node_in_partition node_in_spinglass |
| Memberships in components | member_components node_in_component node_in_strong node_in_weak |
| 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_equivalence node_in_regular node_in_structural |
| Methods for equivalence clustering | cluster_concor cluster_cosine cluster_hierarchical method_cluster |
| Methods for selecting clusters | k_elbow k_gap k_silhouette k_strict method_kselect |
| Motifs of network brokerage | motif_brokerage_net net_x_brokerage |
| Motifs of nodes brokerage | motif_brokerage_node node_x_brokerage |
| Motifs of nodes 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 cohesion | motif_net net_x_dyad net_x_mixed net_x_tetrad net_x_triad |
| Motifs of nodes cohesion | motif_node node_x_dyad node_x_tetrad node_x_triad |
| Motifs of nodes pathing | motif_path node_x_path node_x_tie |
| Motifs of network change | motif_periods net_x_change net_x_correlation net_x_stability |
