{
  "_id": "6adc930d1f8fc22f6383e6eb",
  "Package": "netmem",
  "Version": "1.1-0",
  "Date": "2026-09-18",
  "Title": "Social Network Measures using Matrices",
  "Authors@R": "c(\nperson(given = \"Alejandro\", family = \"Espinosa-Rada\", role = c(\"cre\", \"aut\"),\nemail = \"anespinosa@uc.cl\", comment = c(ORCID = \"0000-0003-4177-1912\"))\n)",
  "Maintainer": "Alejandro Espinosa-Rada <anespinosa@uc.cl>",
  "Description": "Provides measures to describe and manipulate one-mode,\ntwo-mode, multiplex, and multilevel networks using matrix\nalgebra. Implements functions for network centrality, cohesive\nsubgroups, communities, structural holes, roles and positions,\nsimilarity measures, path distances, signed networks,\nsegregation, social influence, and random network generation.\nSupports ego-centric and whole-network analyses, including\ndyadic and triadic censuses, structural balance, bipartite\nprojections, measures with overlapping group memberships,\nQ-analysis, neighbourhood-inclusion dominance, main path\nanalysis of citation networks, and permutation tests for\nnetworks. Key references: Bonacich (1972)\n<doi:10.1080/0022250X.1972.9989806>, Breiger (1974)\n<doi:10.2307/2576011>, Kivela et al. (2014)\n<doi:10.1093/comnet/cnu016>, Espinosa-Rada et al. (2024)\n<doi:10.1016/j.socnet.2023.11.008>, Schoch and Brandes (2016)\n<doi:10.1017/S0956792516000401>, Traag et al. (2019)\n<doi:10.1038/s41598-019-41695-z>, Everett and Borgatti (2026)\n<doi:10.1016/j.socnet.2025.12.001>.",
  "License": "GPL-3",
  "Encoding": "UTF-8",
  "Language": "en-US",
  "URL": "https://github.com/anespinosa/netmem,\nhttps://anespinosa.github.io/netmem/",
  "BugReports": "https://github.com/anespinosa/netmem/issues",
  "VignetteBuilder": "knitr",
  "RoxygenNote": "7.3.3",
  "LazyData": "true",
  "Repository": "https://anespinosa.r-universe.dev",
  "Date/Publication": "2026-09-24 11:57:18 UTC",
  "RemoteUrl": "https://github.com/anespinosa/netmem",
  "RemoteRef": "HEAD",
  "RemoteSha": "7bc4a983c0fca6d473f9ec60e70c1defbb979935",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-10-24 11:08:38 UTC",
    "User": "root"
  },
  "Author": "Alejandro Espinosa-Rada [cre, aut] (ORCID:\n<https://orcid.org/0000-0003-4177-1912>)",
  "_user": "anespinosa",
  "_type": "src",
  "_file": "netmem_1.1-0.tar.gz",
  "_fileid": "https://r2.ropensci.org/45ffb8556abd5b4737d3d6d9a3242c6d52cf5d93267d6adff65d16da89b24da4",
  "_filesize": 1305971,
  "_sha256": "45ffb8556abd5b4737d3d6d9a3242c6d52cf5d93267d6adff65d16da89b24da4",
  "_expires": "2027-02-01T11:14:19.000Z",
  "_created": "2026-10-24T11:08:38.000Z",
  "_published": "2026-10-24T11:14:21.449Z",
  "_upstream": "https://github.com/anespinosa/netmem",
  "_status": "success",
  "_maintainer": {
    "name": "Alejandro Espinosa-Rada",
    "email": "anespinosa@uc.cl",
    "login": "anespinosa",
    "orcid": "0000-0003-4177-1912",
    "twitter": "@aespinosarada",
    "description": "Alejandro Espinosa-Rada is an Assistant Professor in the Department of Sociology at Pontificia Universidad Católica de Chile.",
    "uuid": 7588042
  },
  "_jobs": [
    {
      "job": 120856878360,
      "time": 154,
      "config": "linux-devel-x86_64",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "12557619846"
    },
    {
      "job": 120856878319,
      "time": 296,
      "config": "linux-release-x86_64",
      "r": "4.6.1",
      "check": "OK",
      "artifact": "12557814490"
    },
    {
      "job": 120856878376,
      "time": 210,
      "config": "macos-oldrel-arm64",
      "r": "4.5.3",
      "check": "OK",
      "artifact": "12558475764"
    },
    {
      "job": 120856878357,
      "time": 179,
      "config": "macos-release-arm64",
      "r": "4.6.1",
      "check": "OK",
      "artifact": "12558580029"
    },
    {
      "job": 120855714220,
      "time": 359,
      "config": "source",
      "r": "4.6.1",
      "check": "OK",
      "artifact": "12558241854"
    },
    {
      "job": 120856878370,
      "time": 227,
      "config": "wasm-release",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "12558088562"
    },
    {
      "job": 120856878305,
      "time": 122,
      "config": "windows-devel-x86_64",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "12557139900"
    },
    {
      "job": 120856878334,
      "time": 115,
      "config": "windows-oldrel-x86_64",
      "r": "4.5.3",
      "check": "OK",
      "artifact": "12557643147"
    },
    {
      "job": 120856878377,
      "time": 243,
      "config": "windows-release-x86_64",
      "r": "4.6.1",
      "check": "OK",
      "artifact": "12558436033"
    }
  ],
  "_buildurl": "https://github.com/r-universe/anespinosa/actions/runs/40088312061",
  "_commit": {
    "id": "7bc4a983c0fca6d473f9ec60e70c1defbb979935",
    "author": "anespinosa <anespinosa@uc.cl>",
    "committer": "anespinosa <anespinosa@uc.cl>",
    "message": "Mention the measures of version 1.1-0 in the description\n\nOverlapping group memberships and Q-analysis were missing, and the\nreference of Everett and Borgatti (2026) was added. The name of Kivela\nis written without the umlaut, so DESCRIPTION is ASCII.\n",
    "time": 1790251038
  },
  "_distro": "resolute",
  "_host": "GitHub-Actions",
  "_registered": true,
  "_dependencies": [
    {
      "package": "R",
      "version": ">= 4.0.0",
      "role": "Depends"
    },
    {
      "package": "Matrix",
      "role": "Imports"
    },
    {
      "package": "stats",
      "role": "Imports"
    },
    {
      "package": "igraph",
      "role": "Suggests"
    },
    {
      "package": "knitr",
      "role": "Suggests"
    },
    {
      "package": "rmarkdown",
      "role": "Suggests"
    },
    {
      "package": "covr",
      "role": "Suggests"
    },
    {
      "package": "testthat",
      "role": "Suggests"
    },
    {
      "package": "usethis",
      "role": "Suggests"
    },
    {
      "package": "styler",
      "role": "Suggests"
    }
  ],
  "_owner": "anespinosa",
  "_selfowned": true,
  "_usedby": 0,
  "_updates": [
    {
      "week": "2026-14",
      "n": 1
    },
    {
      "week": "2026-15",
      "n": 1
    },
    {
      "week": "2026-17",
      "n": 2
    },
    {
      "week": "2026-39",
      "n": 3
    }
  ],
  "_tags": [],
  "_topics": [
    "matrices",
    "multilayer-networks",
    "network-analysis",
    "network-science",
    "sna",
    "social-network",
    "social-network-analysis",
    "sociology"
  ],
  "_stars": 12,
  "_contributors": [
    {
      "user": "anespinosa",
      "count": 269,
      "uuid": 7588042
    },
    {
      "user": "pj398",
      "count": 1,
      "uuid": 22074800
    }
  ],
  "_userbio": {
    "uuid": 7588042,
    "type": "user",
    "name": "Alejandro Espinosa-Rada",
    "followers": 40,
    "description": "Alejandro Espinosa-Rada is an Assistant Professor in the Department of Sociology at Pontificia Universidad Católica de Chile."
  },
  "_downloads": {
    "count": 434,
    "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/netmem"
  },
  "_devurl": "https://github.com/anespinosa/netmem",
  "_pkgdown": "https://anespinosa.github.io/netmem/",
  "_searchresults": 16,
  "_rbuild": "4.6.1",
  "_assets": [
    "extra/citation.cff",
    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
    "extra/manual.pdf",
    "extra/netmem.html",
    "extra/NEWS.html",
    "extra/NEWS.txt",
    "extra/readme.html",
    "extra/readme.md"
  ],
  "_homeurl": "https://github.com/anespinosa/netmem",
  "_realowner": "anespinosa",
  "_cranurl": true,
  "_releases": [
    {
      "version": "1.0-3",
      "date": "2026-04-16"
    },
    {
      "version": "1.1-0",
      "date": "2026-09-24"
    }
  ],
  "_exports": [
    "adj_to_incidence",
    "adj_to_matrix",
    "aggregate_layers",
    "alter_composition",
    "alter_heterogeneity",
    "alter_homophily",
    "betweenness_centrality",
    "bfs_ugraph",
    "block_density",
    "bonacich_norm",
    "bonacich_power",
    "brokerage_roles",
    "centrality_centralization",
    "citation_decay",
    "clique_max",
    "clique_table",
    "closeness_centrality",
    "co_occurrence",
    "community_betweenness",
    "community_greedy",
    "community_label",
    "components_id",
    "compound_relation",
    "concor",
    "core_periphery",
    "count_geodesics",
    "cug_test",
    "cumulativeSumMatrices",
    "dag_check",
    "dag_sort",
    "dir_inclusion",
    "dist_geographic",
    "dist_sim_matrix",
    "dominance_layers",
    "dominance_pairs",
    "dominance_ranks",
    "dyad_triad_table",
    "dyadic_census",
    "eb_constraint",
    "edgelist_to_matrix",
    "ego_net",
    "ei_index",
    "eigenvector_centrality",
    "expand_matrix",
    "extract_component",
    "fractional_approach",
    "gen_degree",
    "gen_density",
    "geo_distances",
    "geo_summary",
    "heterogeneity",
    "hyperevent_dominance",
    "hypergraph",
    "ind_rand_matrix",
    "indirect_rel",
    "jaccard",
    "k_core",
    "katz_centrality",
    "kp_reciprocity",
    "krackhardt_index",
    "leading_eigen",
    "leiden",
    "main_path",
    "main_path_diag",
    "matrix_adjlist",
    "matrix_projection",
    "matrix_report",
    "matrix_to_edgelist",
    "meta_matrix",
    "minmax_overlap",
    "mix_matrix",
    "mixed_census",
    "modularity_score",
    "multilevel_degree",
    "multiplex_census",
    "neigh_inclusion",
    "page_rank_centrality",
    "pareto_dominance",
    "partition_centrality",
    "percolation_clique",
    "perm_label",
    "perm_matrix",
    "pos_dominance",
    "posneg_index",
    "power_function",
    "pref_attachment",
    "preserved_order",
    "q_analysis",
    "qap_cor",
    "qap_lm",
    "recip_coef",
    "redundancy",
    "rege",
    "segregation",
    "set_inclusion",
    "shared_partners",
    "short_path",
    "simplicial_complexes",
    "small_world",
    "social_influence",
    "spatial_cor",
    "struc_balance",
    "structural_holes",
    "structural_na",
    "supra_adjacency",
    "threshold_diffusion",
    "trans_coef",
    "trans_matrix",
    "traversal_weights",
    "triad_uman",
    "wall_distances",
    "wlocal_distances",
    "z_arctest",
    "zone_sample"
  ],
  "_datasets": [
    {
      "name": "campnet",
      "title": "Camp 92 network",
      "object": "campnet",
      "class": [
        "list"
      ],
      "fields": [],
      "table": false,
      "tojson": true
    },
    {
      "name": "FIFAego",
      "title": "Ego FIFA",
      "object": "FIFAego",
      "class": [
        "list"
      ],
      "fields": [],
      "table": false,
      "tojson": true
    },
    {
      "name": "FIFAex",
      "title": "Outside FIFA",
      "object": "FIFAex",
      "class": [
        "list"
      ],
      "fields": [],
      "table": false,
      "tojson": true
    },
    {
      "name": "FIFAin",
      "title": "Inside FIFA",
      "object": "FIFAin",
      "class": [
        "list"
      ],
      "fields": [],
      "table": false,
      "tojson": true
    },
    {
      "name": "krackhardt_friends",
      "title": "Krackhardt friends",
      "object": "krackhardt_friends",
      "class": [
        "matrix",
        "array"
      ],
      "fields": [],
      "rows": 21,
      "table": true,
      "tojson": true
    },
    {
      "name": "lazega_lawfirm",
      "title": "Lazega law firm",
      "object": "lazega_lawfirm",
      "class": [
        "list"
      ],
      "fields": [],
      "table": false,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "adj_to_incidence",
      "title": "Convert an Adjacency Matrix to an Incidence Matrix",
      "topics": [
        "adj_to_incidence"
      ]
    },
    {
      "page": "adj_to_matrix",
      "title": "Transform an adjacency list into a matrix",
      "topics": [
        "adj_to_matrix"
      ]
    },
    {
      "page": "aggregate_layers",
      "title": "Aggregation of the layers",
      "topics": [
        "aggregate_layers"
      ]
    },
    {
      "page": "alter_composition",
      "title": "Alter composition",
      "topics": [
        "alter_composition"
      ]
    },
    {
      "page": "alter_heterogeneity",
      "title": "Alter heterogeneity",
      "topics": [
        "alter_heterogeneity"
      ]
    },
    {
      "page": "alter_homophily",
      "title": "Alter homophily",
      "topics": [
        "alter_homophily"
      ]
    },
    {
      "page": "betweenness_centrality",
      "title": "Betweenness centrality",
      "topics": [
        "betweenness_centrality"
      ]
    },
    {
      "page": "block_density",
      "title": "Block densities and image matrix",
      "topics": [
        "block_density"
      ]
    },
    {
      "page": "bonacich_norm",
      "title": "Bonacich normalization",
      "topics": [
        "bonacich_norm"
      ]
    },
    {
      "page": "bonacich_power",
      "title": "Bonacich power centrality",
      "topics": [
        "bonacich_power"
      ]
    },
    {
      "page": "brokerage_roles",
      "title": "Brokerage roles",
      "topics": [
        "brokerage_roles"
      ]
    },
    {
      "page": "campnet",
      "title": "Camp 92 network",
      "topics": [
        "campnet"
      ]
    },
    {
      "page": "centrality_centralization",
      "title": "Centralization",
      "topics": [
        "centrality_centralization"
      ]
    },
    {
      "page": "citation_decay",
      "title": "Temporal decay weighting for citation edges",
      "topics": [
        "citation_decay"
      ]
    },
    {
      "page": "clique_max",
      "title": "Maximal cliques",
      "topics": [
        "clique_max"
      ]
    },
    {
      "page": "clique_table",
      "title": "Clique table",
      "topics": [
        "clique_table"
      ]
    },
    {
      "page": "closeness_centrality",
      "title": "Closeness centrality",
      "topics": [
        "closeness_centrality"
      ]
    },
    {
      "page": "co_occurrence",
      "title": "Co‐occurrence",
      "topics": [
        "co_occurrence"
      ]
    },
    {
      "page": "communities",
      "title": "Communities with agglomeration, label propagation or edge betweenness",
      "topics": [
        "communities",
        "community_betweenness",
        "community_greedy",
        "community_label"
      ]
    },
    {
      "page": "components_id",
      "title": "Components",
      "topics": [
        "components_id"
      ]
    },
    {
      "page": "compound_relation",
      "title": "Relational composition",
      "topics": [
        "compound_relation"
      ]
    },
    {
      "page": "concor",
      "title": "CONCOR",
      "topics": [
        "concor"
      ]
    },
    {
      "page": "core_periphery",
      "title": "Core-periphery structure",
      "topics": [
        "core_periphery"
      ]
    },
    {
      "page": "cug_test",
      "title": "Conditional uniform graph test",
      "topics": [
        "cug_test"
      ]
    },
    {
      "page": "cumulativeSumMatrices",
      "title": "Cumulative sum of matrices",
      "topics": [
        "cumulativeSumMatrices"
      ]
    },
    {
      "page": "dag",
      "title": "DAG validation and topological ordering for citation networks",
      "topics": [
        "dag",
        "dag_check",
        "dag_sort"
      ]
    },
    {
      "page": "dir_inclusion",
      "title": "Neighbourhood inclusion in directed networks",
      "topics": [
        "dir_inclusion"
      ]
    },
    {
      "page": "dist_geographic",
      "title": "Geographical distances",
      "topics": [
        "dist_geographic"
      ]
    },
    {
      "page": "dist_sim_matrix",
      "title": "Structural similarities",
      "topics": [
        "dist_sim_matrix"
      ]
    },
    {
      "page": "distances",
      "title": "Path distances",
      "topics": [
        "bfs_ugraph",
        "count_geodesics",
        "distances",
        "short_path",
        "wall_distances",
        "wlocal_distances"
      ]
    },
    {
      "page": "dominance_layers",
      "title": "Dominance layers",
      "topics": [
        "dominance_layers"
      ]
    },
    {
      "page": "dominance_pairs",
      "title": "Dominance pairs",
      "topics": [
        "dominance_pairs"
      ]
    },
    {
      "page": "dominance_ranks",
      "title": "Rank intervals",
      "topics": [
        "dominance_ranks"
      ]
    },
    {
      "page": "dyad_triad_table",
      "title": "Forbidden triad table",
      "topics": [
        "dyad_triad_table"
      ]
    },
    {
      "page": "dyadic_census",
      "title": "Dyad census",
      "topics": [
        "dyadic_census"
      ]
    },
    {
      "page": "eb_constraint",
      "title": "Constraint",
      "topics": [
        "eb_constraint"
      ]
    },
    {
      "page": "edgelist_to_matrix",
      "title": "Transform an edgelist to a matrix",
      "topics": [
        "edgelist_to_matrix"
      ]
    },
    {
      "page": "ego_net",
      "title": "Ego network",
      "topics": [
        "ego_net"
      ]
    },
    {
      "page": "ei_index",
      "title": "Krackhardt and Stern's E-I index",
      "topics": [
        "ei_index"
      ]
    },
    {
      "page": "eigenvector_centrality",
      "title": "Eigenvector centrality",
      "topics": [
        "eigenvector_centrality"
      ]
    },
    {
      "page": "expand_matrix",
      "title": "Expand Matrix",
      "topics": [
        "expand_matrix"
      ]
    },
    {
      "page": "extract_component",
      "title": "Extract components",
      "topics": [
        "extract_component"
      ]
    },
    {
      "page": "FIFAego",
      "title": "Ego FIFA",
      "topics": [
        "FIFAego"
      ]
    },
    {
      "page": "FIFAex",
      "title": "Outside FIFA",
      "topics": [
        "FIFAex"
      ]
    },
    {
      "page": "FIFAin",
      "title": "Inside FIFA",
      "topics": [
        "FIFAin"
      ]
    },
    {
      "page": "fractional_approach",
      "title": "Fractional approach",
      "topics": [
        "fractional_approach"
      ]
    },
    {
      "page": "gen_degree",
      "title": "Generalized degree",
      "topics": [
        "gen_degree"
      ]
    },
    {
      "page": "gen_density",
      "title": "Generalized density",
      "topics": [
        "gen_density"
      ]
    },
    {
      "page": "geodesics",
      "title": "Geodesic distances",
      "topics": [
        "geodesics",
        "geo_distances",
        "geo_summary"
      ]
    },
    {
      "page": "heterogeneity",
      "title": "Blau's and IQV index",
      "topics": [
        "heterogeneity"
      ]
    },
    {
      "page": "hyperevent_dominance",
      "title": "Hyper-event dominance",
      "topics": [
        "hyperevent_dominance"
      ]
    },
    {
      "page": "hypergraph",
      "title": "Hypergraphs",
      "topics": [
        "hypergraph"
      ]
    },
    {
      "page": "ind_rand_matrix",
      "title": "Independent random matrix",
      "topics": [
        "ind_rand_matrix"
      ]
    },
    {
      "page": "indirect_rel",
      "title": "Indirect relations",
      "topics": [
        "indirect_rel"
      ]
    },
    {
      "page": "jaccard",
      "title": "Jaccard similarity",
      "topics": [
        "jaccard"
      ]
    },
    {
      "page": "k_core",
      "title": "Generalized k-core",
      "topics": [
        "k_core"
      ]
    },
    {
      "page": "katz_centrality",
      "title": "Katz centrality",
      "topics": [
        "katz_centrality"
      ]
    },
    {
      "page": "kp_reciprocity",
      "title": "Reciprocity of Katz and Powell",
      "topics": [
        "kp_reciprocity"
      ]
    },
    {
      "page": "krackhardt_friends",
      "title": "Krackhardt friends",
      "topics": [
        "krackhardt_friends"
      ]
    },
    {
      "page": "krackhardt_index",
      "title": "Krackhardt's dimensions of informal organisations",
      "topics": [
        "krackhardt_index"
      ]
    },
    {
      "page": "lazega_lawfirm",
      "title": "Lazega law firm",
      "topics": [
        "lazega_lawfirm"
      ]
    },
    {
      "page": "leading_eigen",
      "title": "Communities with the leading eigenvector",
      "topics": [
        "leading_eigen"
      ]
    },
    {
      "page": "leiden",
      "title": "Leiden communities",
      "topics": [
        "leiden"
      ]
    },
    {
      "page": "main_path",
      "title": "Main path extraction from a citation network",
      "topics": [
        "main_path"
      ]
    },
    {
      "page": "main_path_diag",
      "title": "Diagnostics for main path analysis",
      "topics": [
        "main_path_diag"
      ]
    },
    {
      "page": "matrix_adjlist",
      "title": "Transform a matrix to an adjacency list",
      "topics": [
        "matrix_adjlist"
      ]
    },
    {
      "page": "matrix_projection",
      "title": "Unipartite projections",
      "topics": [
        "matrix_projection"
      ]
    },
    {
      "page": "matrix_report",
      "title": "Matrix report",
      "topics": [
        "matrix_report"
      ]
    },
    {
      "page": "matrix_to_edgelist",
      "title": "Transform a square matrix to an edge-list",
      "topics": [
        "matrix_to_edgelist"
      ]
    },
    {
      "page": "meta_matrix",
      "title": "Meta matrix for multilevel networks",
      "topics": [
        "meta_matrix"
      ]
    },
    {
      "page": "minmax_overlap",
      "title": "Minimum/maximum overlap",
      "topics": [
        "minmax_overlap"
      ]
    },
    {
      "page": "mix_matrix",
      "title": "Mixing matrix",
      "topics": [
        "mix_matrix"
      ]
    },
    {
      "page": "mixed_census",
      "title": "Multilevel triad and quadrilateral census",
      "topics": [
        "mixed_census"
      ]
    },
    {
      "page": "modularity_score",
      "title": "Modularity",
      "topics": [
        "modularity_score"
      ]
    },
    {
      "page": "multilevel_degree",
      "title": "Degree centrality for multilevel networks",
      "topics": [
        "multilevel_degree"
      ]
    },
    {
      "page": "multiplex_census",
      "title": "Multiplex triad census",
      "topics": [
        "multiplex_census"
      ]
    },
    {
      "page": "neigh_inclusion",
      "title": "Neighbourhood inclusion",
      "topics": [
        "neigh_inclusion"
      ]
    },
    {
      "page": "page_rank_centrality",
      "title": "PageRank centrality",
      "topics": [
        "page_rank_centrality"
      ]
    },
    {
      "page": "pareto_dominance",
      "title": "Pareto dominance",
      "topics": [
        "pareto_dominance"
      ]
    },
    {
      "page": "partition_centrality",
      "title": "Partition of centrality by category",
      "topics": [
        "partition_centrality"
      ]
    },
    {
      "page": "percolation_clique",
      "title": "Clique percolation",
      "topics": [
        "percolation_clique"
      ]
    },
    {
      "page": "perm_label",
      "title": "Permute labels of a matrix",
      "topics": [
        "perm_label"
      ]
    },
    {
      "page": "perm_matrix",
      "title": "Permutation matrix",
      "topics": [
        "perm_matrix"
      ]
    },
    {
      "page": "pos_dominance",
      "title": "Positional dominance on indirect relations",
      "topics": [
        "pos_dominance"
      ]
    },
    {
      "page": "posneg_index",
      "title": "Positive-negative centrality",
      "topics": [
        "posneg_index"
      ]
    },
    {
      "page": "power_function",
      "title": "Power matrix",
      "topics": [
        "power_function"
      ]
    },
    {
      "page": "pref_attachment",
      "title": "Preferential attachment network",
      "topics": [
        "pref_attachment"
      ]
    },
    {
      "page": "preserved_order",
      "title": "Preserved order",
      "topics": [
        "preserved_order"
      ]
    },
    {
      "page": "q_analysis",
      "title": "Q-analysis",
      "topics": [
        "q_analysis"
      ]
    },
    {
      "page": "qap_cor",
      "title": "QAP correlation",
      "topics": [
        "qap_cor"
      ]
    },
    {
      "page": "qap_lm",
      "title": "QAP regression",
      "topics": [
        "qap_lm"
      ]
    },
    {
      "page": "recip_coef",
      "title": "Reciprocity",
      "topics": [
        "recip_coef"
      ]
    },
    {
      "page": "redundancy",
      "title": "Redundancy measures",
      "topics": [
        "redundancy"
      ]
    },
    {
      "page": "rege",
      "title": "Regular equivalence",
      "topics": [
        "rege"
      ]
    },
    {
      "page": "segregation",
      "title": "Segregation measures",
      "topics": [
        "segregation"
      ]
    },
    {
      "page": "set_inclusion",
      "title": "Set inclusion of neighbourhoods",
      "topics": [
        "set_inclusion"
      ]
    },
    {
      "page": "shared_partners",
      "title": "Shared partners",
      "topics": [
        "shared_partners"
      ]
    },
    {
      "page": "simplicial_complexes",
      "title": "Simplicial complexes",
      "topics": [
        "simplicial_complexes"
      ]
    },
    {
      "page": "small_world",
      "title": "Small world network",
      "topics": [
        "small_world"
      ]
    },
    {
      "page": "social_influence",
      "title": "Social influence",
      "topics": [
        "social_influence"
      ]
    },
    {
      "page": "spatial_cor",
      "title": "Spatial autocorrelation",
      "topics": [
        "spatial_cor"
      ]
    },
    {
      "page": "struc_balance",
      "title": "Structural balance",
      "topics": [
        "struc_balance"
      ]
    },
    {
      "page": "structural_holes",
      "title": "Structural holes",
      "topics": [
        "structural_holes"
      ]
    },
    {
      "page": "structural_na",
      "title": "Structural Missing Data",
      "topics": [
        "structural_na"
      ]
    },
    {
      "page": "supra_adjacency",
      "title": "Supra-adjacency matrix",
      "topics": [
        "supra_adjacency"
      ]
    },
    {
      "page": "threshold_diffusion",
      "title": "Threshold diffusion",
      "topics": [
        "threshold_diffusion"
      ]
    },
    {
      "page": "trans_coef",
      "title": "Transitivity",
      "topics": [
        "trans_coef"
      ]
    },
    {
      "page": "trans_matrix",
      "title": "Transitivity matrix",
      "topics": [
        "trans_matrix"
      ]
    },
    {
      "page": "traversal_weights",
      "title": "Traversal weights for main path analysis",
      "topics": [
        "traversal_weights"
      ]
    },
    {
      "page": "triad_uman",
      "title": "Triad census analysis assuming U|MAN",
      "topics": [
        "triad_uman"
      ]
    },
    {
      "page": "z_arctest",
      "title": "Z test of the number of arcs",
      "topics": [
        "z_arctest"
      ]
    },
    {
      "page": "zone_sample",
      "title": "Zone-2 sampling from second-mode",
      "topics": [
        "zone_sample"
      ]
    }
  ],
  "_pkglogo": "https://github.com/anespinosa/netmem/raw/HEAD/man/figures/logo.png",
  "_readme": "https://github.com/anespinosa/netmem/raw/HEAD/README.md",
  "_rundeps": [
    "lattice",
    "Matrix"
  ],
  "_vignettes": [
    {
      "source": "netmem.Rmd",
      "filename": "netmem.html",
      "title": "Getting started with netmem",
      "author": "Alejandro Espinosa-Rada",
      "engine": "knitr::rmarkdown",
      "headings": [
        "The data",
        "Describing the network",
        "Centrality",
        "Cohesive subgroups and communities",
        "Homophily and positions",
        "Structural holes",
        "Statistical tests",
        "How the results are checked",
        "References"
      ],
      "created": "2026-09-24 11:47:49",
      "modified": "2026-09-24 11:47:49",
      "commits": 1
    },
    {
      "source": "multilayer.Rmd",
      "filename": "multilayer.html",
      "title": "Multilayer networks",
      "author": "Alejandro Espinosa-Rada",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Installation",
        "Multilayers",
        "Two-mode networks",
        "Multilevel Networks",
        "Example",
        "Ties within and between modes",
        "Multiplex networks",
        "The layers in a single matrix",
        "References"
      ],
      "created": "2022-01-27 18:11:03",
      "modified": "2026-09-24 11:47:49",
      "commits": 14
    },
    {
      "source": "distinctive.Rmd",
      "filename": "distinctive.html",
      "title": "What netmem adds",
      "author": "Alejandro Espinosa-Rada",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Ranking without choosing a centrality index",
        "Overlapping categories",
        "Q-analysis",
        "Citation networks",
        "Main path analysis",
        "Fractional counting",
        "Dominance among authors",
        "Multilevel and multiplex networks",
        "References"
      ],
      "created": "2026-09-24 11:47:49",
      "modified": "2026-09-24 11:47:49",
      "commits": 1
    }
  ],
  "_score": 6.061452479087194,
  "_indexed": true,
  "_nocasepkg": "netmem",
  "_universes": [
    "anespinosa"
  ],
  "_binaries": [
    {
      "r": "4.7.0",
      "os": "linux",
      "version": "1.1-0",
      "date": "2026-10-24T11:10:45.000Z",
      "distro": "resolute",
      "commit": "7bc4a983c0fca6d473f9ec60e70c1defbb979935",
      "fileid": "https://r2.ropensci.org/ce4d2d7dfb0dd0c05935f49c53e24fd74b319268021e2c9758fcfc649265b832",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/anespinosa/actions/runs/40088312061"
    },
    {
      "r": "4.6.1",
      "os": "linux",
      "version": "1.1-0",
      "date": "2026-10-24T11:13:08.000Z",
      "distro": "resolute",
      "commit": "7bc4a983c0fca6d473f9ec60e70c1defbb979935",
      "fileid": "https://r2.ropensci.org/3f9fa679e48a72f9551947556fa3745ce5f0f99d1e3bb6738ebb9be0e24fa23a",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/anespinosa/actions/runs/40088312061"
    },
    {
      "r": "4.5.3",
      "os": "mac",
      "version": "1.1-0",
      "date": "2026-10-24T11:11:20.000Z",
      "commit": "7bc4a983c0fca6d473f9ec60e70c1defbb979935",
      "fileid": "https://r2.ropensci.org/01af05ea10c1809fe28574ec9d1ce72129a0df8403078ebab29a87ff95e38bf8",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/anespinosa/actions/runs/40088312061"
    },
    {
      "r": "4.6.1",
      "os": "mac",
      "version": "1.1-0",
      "date": "2026-10-24T11:10:51.000Z",
      "commit": "7bc4a983c0fca6d473f9ec60e70c1defbb979935",
      "fileid": "https://r2.ropensci.org/2c8683fcc617ba818088a8ae97302153784e4721138ed7680cf0f526a4359f4f",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/anespinosa/actions/runs/40088312061"
    },
    {
      "r": "4.6.0",
      "os": "wasm",
      "version": "1.1-0",
      "date": "2026-10-24T11:12:54.000Z",
      "commit": "7bc4a983c0fca6d473f9ec60e70c1defbb979935",
      "fileid": "https://r2.ropensci.org/a0cb4f34b0566cb02a9556e91c2c21396f90b57081ff64a06f2940eb75e6d8d3",
      "status": "success",
      "buildurl": "https://github.com/r-universe/anespinosa/actions/runs/40088312061"
    },
    {
      "r": "4.7.0",
      "os": "win",
      "version": "1.1-0",
      "date": "2026-10-24T11:09:57.000Z",
      "commit": "7bc4a983c0fca6d473f9ec60e70c1defbb979935",
      "fileid": "https://r2.ropensci.org/74c85f758d31b492a434ea7ecffed41d8d409d3ff2130b4bb87662c01d3dd585",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/anespinosa/actions/runs/40088312061"
    },
    {
      "r": "4.5.3",
      "os": "win",
      "version": "1.1-0",
      "date": "2026-10-24T11:09:57.000Z",
      "commit": "7bc4a983c0fca6d473f9ec60e70c1defbb979935",
      "fileid": "https://r2.ropensci.org/7b45e366ff9443166210aab7fb4e18d48440b25278b6e065a21dc32e932ceb92",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/anespinosa/actions/runs/40088312061"
    },
    {
      "r": "4.6.1",
      "os": "win",
      "version": "1.1-0",
      "date": "2026-10-24T11:12:25.000Z",
      "commit": "7bc4a983c0fca6d473f9ec60e70c1defbb979935",
      "fileid": "https://r2.ropensci.org/f2339c9f10348910b7f64773c75a90d004bcc100e299d78298686d33665b4973",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/anespinosa/actions/runs/40088312061"
    }
  ]
}