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  "Package": "netrics",
  "Title": "Many Ways to Measure and Classify Membership for Networks,\nNodes, and Ties",
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  "Description": "Many tools for calculating network, node, or tie marks,\nmeasures, motifs and memberships of many different types of\nnetworks. Marks identify structural positions, measures\nquantify network properties, memberships classify nodes into\ngroups, and motifs tabulate substructure participation. All\nfunctions operate with all classes of network data covered in\n'manynet', and on directed, undirected, multiplex, multimodal,\nsigned, and other networks.",
  "URL": "https://stocnet.github.io/netrics/",
  "BugReports": "https://github.com/stocnet/netrics/issues",
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  "Repository": "https://stocnet.r-universe.dev",
  "Date/Publication": "2026-06-22 09:55:25 UTC",
  "RemoteUrl": "https://github.com/stocnet/netrics",
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  "Author": "James Hollway [cre, aut, ctb] (IHEID, ORCID:\n<https://orcid.org/0000-0002-8361-9647>)",
  "Maintainer": "James Hollway <james.hollway@graduateinstitute.ch>",
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    "cluster_cosine",
    "cluster_hierarchical",
    "k_elbow",
    "k_gap",
    "k_silhouette",
    "k_strict",
    "net_by_adhesion",
    "net_by_assortativity",
    "net_by_balance",
    "net_by_betweenness",
    "net_by_closeness",
    "net_by_cohesion",
    "net_by_components",
    "net_by_congruency",
    "net_by_connectedness",
    "net_by_core",
    "net_by_degree",
    "net_by_density",
    "net_by_diameter",
    "net_by_diversity",
    "net_by_efficiency",
    "net_by_eigenvector",
    "net_by_equivalency",
    "net_by_factions",
    "net_by_harmonic",
    "net_by_heterophily",
    "net_by_homophily",
    "net_by_immunity",
    "net_by_indegree",
    "net_by_independence",
    "net_by_infection_complete",
    "net_by_infection_peak",
    "net_by_infection_total",
    "net_by_length",
    "net_by_modularity",
    "net_by_outdegree",
    "net_by_reach",
    "net_by_reciprocity",
    "net_by_recovery",
    "net_by_reproduction",
    "net_by_richclub",
    "net_by_richness",
    "net_by_scalefree",
    "net_by_smallworld",
    "net_by_spatial",
    "net_by_strength",
    "net_by_toughness",
    "net_by_transitivity",
    "net_by_transmissibility",
    "net_by_upperbound",
    "net_by_waves",
    "net_x_brokerage",
    "net_x_change",
    "net_x_correlation",
    "net_x_dyad",
    "net_x_hazard",
    "net_x_hierarchy",
    "net_x_mixed",
    "net_x_stability",
    "net_x_tetrad",
    "net_x_triad",
    "node_by_adopt_exposure",
    "node_by_adopt_recovery",
    "node_by_adopt_threshold",
    "node_by_adopt_time",
    "node_by_alpha",
    "node_by_authority",
    "node_by_betweenness",
    "node_by_bridges",
    "node_by_brokering_activity",
    "node_by_brokering_exclusivity",
    "node_by_closeness",
    "node_by_constraint",
    "node_by_coreness",
    "node_by_deg",
    "node_by_degree",
    "node_by_distance",
    "node_by_diversity",
    "node_by_eccentricity",
    "node_by_efficiency",
    "node_by_effsize",
    "node_by_eigenvector",
    "node_by_equivalency",
    "node_by_flow",
    "node_by_harmonic",
    "node_by_heterophily",
    "node_by_hierarchy",
    "node_by_homophily",
    "node_by_hub",
    "node_by_indegree",
    "node_by_induced",
    "node_by_information",
    "node_by_kcoreness",
    "node_by_leverage",
    "node_by_multidegree",
    "node_by_neighbours_degree",
    "node_by_outdegree",
    "node_by_pagerank",
    "node_by_posneg",
    "node_by_power",
    "node_by_randomwalk",
    "node_by_reach",
    "node_by_reciprocity",
    "node_by_redundancy",
    "node_by_richness",
    "node_by_stress",
    "node_by_subgraph",
    "node_by_transitivity",
    "node_by_vitality",
    "node_in_adopter",
    "node_in_automorphic",
    "node_in_betweenness",
    "node_in_brokering",
    "node_in_community",
    "node_in_component",
    "node_in_core",
    "node_in_eigen",
    "node_in_equivalence",
    "node_in_fluid",
    "node_in_greedy",
    "node_in_infomap",
    "node_in_leiden",
    "node_in_louvain",
    "node_in_optimal",
    "node_in_partition",
    "node_in_regular",
    "node_in_roulette",
    "node_in_spinglass",
    "node_in_strong",
    "node_in_structural",
    "node_in_walktrap",
    "node_in_weak",
    "node_is_core",
    "node_is_cutpoint",
    "node_is_exposed",
    "node_is_fold",
    "node_is_independent",
    "node_is_infected",
    "node_is_isolate",
    "node_is_latent",
    "node_is_max",
    "node_is_mean",
    "node_is_mentor",
    "node_is_min",
    "node_is_neighbor",
    "node_is_pendant",
    "node_is_random",
    "node_is_recovered",
    "node_is_universal",
    "node_x_brokerage",
    "node_x_dyad",
    "node_x_exposure",
    "node_x_path",
    "node_x_tetrad",
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    "node_x_triad",
    "tie_by_betweenness",
    "tie_by_closeness",
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    "tie_by_degree",
    "tie_by_eigenvector",
    "tie_is_bridge",
    "tie_is_cyclical",
    "tie_is_feedback",
    "tie_is_imbalanced",
    "tie_is_loop",
    "tie_is_max",
    "tie_is_min",
    "tie_is_multiple",
    "tie_is_path",
    "tie_is_random",
    "tie_is_reciprocated",
    "tie_is_simmelian",
    "tie_is_transitive",
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      "title": "Marking nodes as core or periphery",
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        "marks",
        "nodal"
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        "node_is_core"
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    {
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      "title": "Marking nodes based on degree properties",
      "concept": [
        "degree",
        "marks",
        "nodal"
      ],
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        "node_is_isolate",
        "node_is_pendant",
        "node_is_universal"
      ]
    },
    {
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      "title": "Marking nodes based on diffusion properties",
      "concept": [
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        "marks",
        "nodal"
      ],
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        "node_is_exposed",
        "node_is_infected",
        "node_is_latent",
        "node_is_recovered"
      ]
    },
    {
      "page": "mark_dyads",
      "title": "Marking ties based on dyadic properties",
      "concept": [
        "marks",
        "tie"
      ],
      "topics": [
        "mark_dyads",
        "tie_is_multiple",
        "tie_is_reciprocated"
      ]
    },
    {
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      "title": "Marking nodes based on structural properties",
      "concept": [
        "marks",
        "nodal"
      ],
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        "mark_nodes",
        "node_is_cutpoint",
        "node_is_fold",
        "node_is_independent",
        "node_is_mentor",
        "node_is_neighbor"
      ]
    },
    {
      "page": "mark_select_node",
      "title": "Marking nodes based on measures",
      "concept": [
        "marks",
        "nodal",
        "selection"
      ],
      "topics": [
        "mark_select_node",
        "node_is_max",
        "node_is_mean",
        "node_is_min",
        "node_is_random"
      ]
    },
    {
      "page": "mark_select_tie",
      "title": "Marking ties based on measures",
      "concept": [
        "marks",
        "selection",
        "tie"
      ],
      "topics": [
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        "tie_is_max",
        "tie_is_min",
        "tie_is_random"
      ]
    },
    {
      "page": "mark_ties",
      "title": "Marking ties based on structural properties",
      "concept": [
        "marks",
        "tie"
      ],
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        "mark_ties",
        "tie_is_bridge",
        "tie_is_feedback",
        "tie_is_loop",
        "tie_is_path"
      ]
    },
    {
      "page": "mark_triangles",
      "title": "Marking ties based on triangular properties",
      "concept": [
        "cohesion",
        "marks",
        "tie"
      ],
      "topics": [
        "mark_triangles",
        "tie_is_cyclical",
        "tie_is_imbalanced",
        "tie_is_simmelian",
        "tie_is_transitive",
        "tie_is_triangular",
        "tie_is_triplet"
      ]
    },
    {
      "page": "measure_assort_net",
      "title": "Measures of network assortativity",
      "concept": [
        "diversity",
        "measures"
      ],
      "topics": [
        "measure_assort_net",
        "net_by_assortativity",
        "net_by_heterophily",
        "net_by_homophily",
        "net_by_spatial"
      ]
    },
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      "title": "Measures of nodes assortativity",
      "concept": [
        "diversity",
        "measures",
        "nodal"
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        "measure_assort_node",
        "node_by_heterophily",
        "node_by_homophily"
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    },
    {
      "page": "measure_breadth",
      "title": "Measures of network breadth",
      "concept": [
        "cohesion",
        "measures"
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        "net_by_diameter",
        "net_by_length"
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      "title": "Measuring nodes brokerage",
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        "measures",
        "nodal"
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        "node_by_bridges",
        "node_by_constraint",
        "node_by_efficiency",
        "node_by_effsize",
        "node_by_hierarchy",
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        "node_by_redundancy"
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        "tie"
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        "node_by_brokering_activity",
        "node_by_brokering_exclusivity"
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      "page": "measure_central_between",
      "title": "Measuring nodes betweenness-like centrality",
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        "closeness",
        "measures",
        "nodal"
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        "node_by_distance",
        "node_by_eccentricity",
        "node_by_harmonic",
        "node_by_information",
        "node_by_randomwalk",
        "node_by_reach",
        "node_by_vitality"
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    },
    {
      "page": "measure_central_degree",
      "title": "Measuring nodes degree-like centrality",
      "concept": [
        "centrality",
        "degree",
        "measures",
        "nodal"
      ],
      "topics": [
        "measure_central_degree",
        "node_by_deg",
        "node_by_degree",
        "node_by_indegree",
        "node_by_leverage",
        "node_by_multidegree",
        "node_by_outdegree",
        "node_by_posneg"
      ]
    },
    {
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      "title": "Measuring nodes eigenvector-like centrality",
      "concept": [
        "centrality",
        "eigenvector",
        "measures",
        "nodal"
      ],
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        "node_by_authority",
        "node_by_eigenvector",
        "node_by_hub",
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        "node_by_power",
        "node_by_subgraph"
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      "title": "Measuring networks betweenness-like centralisation",
      "concept": [
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        "centrality",
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      "topics": [
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        "net_by_betweenness"
      ]
    },
    {
      "page": "measure_centralisation_close",
      "title": "Measuring networks closeness-like centralisation",
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        "measures"
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