{ "_id": "6ab247573d719c1f8408b3a6", "Package": "themescopeR", "Title": "Social Representation Analysis via Semantic Network Mapping", "Version": "0.1.1", "Authors@R": "c(\nperson(\"Luca\", \"D'Aniello\", , \"luca.daniello@unina.it\", role = c(\"aut\", \"cre\"),\ncomment = c(ORCID = \"0000-0003-1019-9212\")),\nperson(\"Michelangelo\", \"Misuraca\", , \"mmisuraca@unisa.it\", role = \"aut\",\ncomment = c(ORCID = \"0000-0002-8794-966X\")),\nperson(\"Maria\", \"Spano\", , \"maria.spano@unina.it\", role = \"aut\",\ncomment = c(ORCID = \"0000-0002-3103-2342\")))", "Description": "Implements the ThemeScope framework for detecting and\nvisualising social representations in large-scale digital text\ncorpora. From raw documents it builds, via 'udpipe' annotation,\nsentence-level word co-occurrence networks and derives two\ncommunity-level indicators grounded in Social Representation\nTheory: the Prototypical Salience Index (PSI) for anchoring and\nthe Concreteness Score (CS) for objectification. Communities\nare located in a two-dimensional, theoretically grounded\nrepresentational map. The whole pipeline is usable from the R\nconsole; an optional 'shiny' graphical interface calls the same\nexported functions. The method is described in Misuraca, Spano\nand D'Aniello (2026) .", "License": "MIT + file LICENSE", "URL": "https://github.com/lucadaniello/themescopeR", "BugReports": "https://github.com/lucadaniello/themescopeR/issues", "Encoding": "UTF-8", "Language": "en-GB", "LazyData": "true", "Roxygen": "list(markdown = TRUE)", "Config/testthat/edition": "3", "Config/roxygen2/version": "8.0.0", "Config/pak/sysreqs": "libglpk-dev libxml2-dev libx11-dev", "Repository": "https://lucadaniello.r-universe.dev", "Date/Publication": "2026-08-23 21:04:58 UTC", "RemoteUrl": "https://github.com/lucadaniello/themescoper", "RemoteRef": "HEAD", "RemoteSha": "1a1eb9455678f9e5580b04853669323c0345816e", "NeedsCompilation": "no", "Packaged": { "Date": "2026-09-22 09:11:19 UTC", "User": "root" }, "Author": "Luca D'Aniello [aut, cre] (ORCID:\n),\nMichelangelo Misuraca [aut] (ORCID:\n),\nMaria Spano [aut] (ORCID: )", "Maintainer": "Luca D'Aniello ", "_user": "lucadaniello", "_type": "src", "_file": "themescopeR_0.1.1.tar.gz", "_fileid": "https://r2.ropensci.org/fbdb7c73b5c89e5e0846fa04a98b817bdce9519d2081842a8fc3ab489e0f5902", "_filesize": 1441373, "_sha256": "fbdb7c73b5c89e5e0846fa04a98b817bdce9519d2081842a8fc3ab489e0f5902", "_expires": "2026-12-31T09:16:05.000Z", "_created": "2026-09-22T09:11:19.000Z", "_published": "2026-09-22T09:16:07.833Z", "_jobs": [ { "job": 106684727433, "time": 172, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "10685688174" }, { "job": 106684727555, "time": 165, "config": "linux-release-x86_64", "r": "4.6.1", "check": "OK", "artifact": "10685967888" }, { "job": 106684727367, "time": 221, "config": "macos-oldrel-arm64", "r": "4.5.3", "check": "OK", "artifact": "10685837952" }, { "job": 106684727346, "time": 189, "config": "macos-release-arm64", "r": "4.6.1", "check": "OK", "artifact": "10685213348" }, { "job": 106683318489, "time": 273, "config": "source", "r": "4.6.1", "check": "OK", "artifact": "10685287827" }, { "job": 106684727507, "time": 153, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "10685063573" }, { "job": 106684727500, "time": 101, "config": "windows-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "10685702929" }, { "job": 106684727434, "time": 87, "config": "windows-oldrel-x86_64", "r": "4.5.3", "check": "OK", "artifact": "10685717906" }, { "job": 106684727477, "time": 103, "config": "windows-release-x86_64", "r": "4.6.1", "check": "OK", "artifact": "10685658013" } ], "_host": "GitHub-Actions", "_buildurl": "https://github.com/r-universe/lucadaniello/actions/runs/35708527376", "_status": "success", "_upstream": "https://github.com/lucadaniello/themescoper", "_commit": { "id": "1a1eb9455678f9e5580b04853669323c0345816e", "author": "lucadaniello ", "committer": "lucadaniello ", "message": "badge and minor fix\n", "time": 1787519098 }, "_maintainer": { "name": "Luca DAniello", "email": "luca.daniello@unina.it", "login": "lucadaniello", "twitter": "@lucada94", "description": "Assistant Professor in Statistics for Social Science\nDept. of Economics and Statistics\nUniversity of Naples Federico II", "uuid": 90352105, "orcid": "0000-0003-1019-9212" }, "_distro": "resolute", "_registered": true, "_dependencies": [ { "package": "R", "version": ">= 4.1.0", "role": "Depends" }, { "package": "cli", "version": ">= 3.6.0", "role": "Imports" }, { "package": "dplyr", "version": ">= 1.1.0", "role": "Imports" }, { "package": "ggplot2", "version": ">= 3.4.0", "role": "Imports" }, { "package": "ggrepel", "version": ">= 0.9.0", "role": "Imports" }, { "package": "igraph", "version": ">= 2.1.0", "role": "Imports" }, { "package": "Matrix", "version": ">= 1.6.0", "role": "Imports" }, { "package": "methods", "role": "Imports" }, { "package": "readr", "role": "Imports" }, { "package": "readxl", "role": "Imports" }, { "package": "rlang", "role": "Imports" }, { "package": "stats", "role": "Imports" }, { "package": "tools", "role": "Imports" }, { "package": "udpipe", "version": ">= 0.8.11", "role": "Imports" }, { "package": "utils", "role": "Imports" }, { "package": "bslib", "role": "Suggests" }, { "package": "DT", "role": "Suggests" }, { "package": "ggraph", "version": ">= 2.1.0", "role": "Suggests" }, { "package": "htmltools", "role": "Suggests" }, { "package": "knitr", "role": "Suggests" }, { "package": "plotly", "role": "Suggests" }, { "package": "rmarkdown", "role": "Suggests" }, { "package": "shiny", "role": "Suggests" }, { "package": "shinycssloaders", "role": "Suggests" }, { "package": "testthat", "version": ">= 3.0.0", "role": "Suggests" }, { "package": "visNetwork", "role": "Suggests" }, { "package": "writexl", "role": "Suggests" } ], "_owner": "lucadaniello", "_selfowned": true, "_usedby": 0, "_updates": [ { "week": "2026-23", "n": 3 }, { "week": "2026-24", "n": 4 }, { "week": "2026-27", "n": 1 }, { "week": "2026-30", "n": 1 }, { "week": "2026-31", "n": 6 }, { "week": "2026-33", "n": 1 }, { "week": "2026-34", "n": 1 } ], "_tags": [ { "name": "v0.1.0", "date": "2026-08-02" } ], "_topics": [ "computational-social-science", "content-analysis", "discourse-analysis", "network-analysis", "semanitic-analysis", "social-representation-theory", "thematic-analysis", "themescope" ], "_stars": 0, "_contributors": [ { "user": "lucadaniello", "count": 17, "uuid": 90352105 } ], "_userbio": { "uuid": 90352105, "type": "user", "name": "Luca D'Aniello", "followers": 2, "description": "Assistant Professor in Statistics for Social Science\r\nDept. of Economics and Statistics\r\nUniversity of Naples Federico II" }, "_downloads": { "count": 309, "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/themescopeR" }, "_devurl": "https://github.com/lucadaniello/themescoper", "_searchresults": 3, "_rbuild": "4.6.1", "_assets": [ "extra/citation.cff", "extra/citation.html", "extra/citation.json", "extra/citation.txt", "extra/contents.json", "extra/manual.pdf", "extra/NEWS.html", "extra/NEWS.txt", "extra/readme.html", "extra/readme.md", "extra/themescopeR.html", "LICENSE" ], "_homeurl": "https://github.com/lucadaniello/themescoper", "_realowner": "lucadaniello", "_cranurl": true, "_releases": [ { "version": "0.1.1", "date": "2026-08-20" } ], "_exports": [ "assign_quadrant", "build_cooccurrence_matrix", "build_cooccurrence_network", "build_vocab", "compute_association_strength", "compute_coherence", "compute_cs", "compute_network_stats", "compute_psi", "detect_communities", "get_community_subgraphs", "lexicon_coverage", "match_concreteness", "normalize_cooccurrence", "plot_network", "plot_themescope", "preprocess_texts", "read_collection", "read_themescope", "save_themescope", "term_relevance", "themescope", "themescope_app", "themescope_cache_dir", "themescope_colours", "themescope_progress", "top_terms", "ts_clear_cache", "ts_download_model", "ts_list_models", "ts_model_path", "validate_words_df", "zscore" ], "_datasets": [ { "name": "brysbaert", "title": "Brysbaert et al. (2014) concreteness norms", "object": "brysbaert", "class": [ "data.frame" ], "fields": [ "word", "conc.m" ], "rows": 39954, "table": true, "tojson": true } ], "_help": [ { "page": "assign_quadrant", "title": "Assign quadrant labels from z-scored PSI and CS", "topics": [ "assign_quadrant" ] }, { "page": "brysbaert", "title": "Brysbaert et al. (2014) concreteness norms", "topics": [ "brysbaert" ] }, { "page": "build_cooccurrence_matrix", "title": "Build a co-occurrence (similarity) matrix", "topics": [ "build_cooccurrence_matrix" ] }, { "page": "build_cooccurrence_network", "title": "Build a thresholded semantic co-occurrence network", "topics": [ "build_cooccurrence_network" ] }, { "page": "build_vocab", "title": "Build a vocabulary data frame from an annotated words data frame", "topics": [ "build_vocab" ] }, { "page": "compute_association_strength", "title": "Compute Association Strength from a co-occurrence matrix", "topics": [ "compute_association_strength" ] }, { "page": "compute_coherence", "title": "Compute edge-density coherence per community", "topics": [ "compute_coherence" ] }, { "page": "compute_cs", "title": "Compute the Concreteness Score (CS) per community", "topics": [ "compute_cs" ] }, { "page": "compute_network_stats", "title": "Compute network-level and community-level statistics", "topics": [ "compute_network_stats" ] }, { "page": "compute_psi", "title": "Compute the Prototypical Salience Index (PSI) per community", "topics": [ "compute_psi" ] }, { "page": "detect_communities", "title": "Detect communities in a semantic network", "topics": [ "detect_communities" ] }, { "page": "get_community_subgraphs", "title": "Extract community subgraphs", "topics": [ "get_community_subgraphs" ] }, { "page": "lexicon_coverage", "title": "Concreteness lexicon coverage diagnostics", "topics": [ "lexicon_coverage" ] }, { "page": "match_concreteness", "title": "Match terms to a concreteness lexicon", "topics": [ "match_concreteness" ] }, { "page": "normalize_cooccurrence", "title": "Normalise a co-occurrence matrix into a similarity matrix", "topics": [ "normalize_cooccurrence" ] }, { "page": "plot_network", "title": "Plot a community-coloured semantic network (igraph)", "topics": [ "plot_network" ] }, { "page": "plot_themescope", "title": "Create a ThemeScope representational map", "topics": [ "plot_themescope" ] }, { "page": "preprocess_texts", "title": "Annotate a document collection with udpipe", "topics": [ "preprocess_texts" ] }, { "page": "read_collection", "title": "Read a document collection into a tidy data frame", "topics": [ "read_collection" ] }, { "page": "read_themescope", "title": "Read a '.themescope' archive", "topics": [ "print.themescope_archive", "read_themescope", "summary.themescope_archive" ] }, { "page": "save_themescope", "title": "Save an analysis as a '.themescope' archive", "topics": [ "save_themescope" ] }, { "page": "term_relevance", "title": "Compute term relevance within communities", "topics": [ "term_relevance" ] }, { "page": "themescope", "title": "Run the full ThemeScope analysis pipeline", "topics": [ "as.data.frame.themescope", "plot.themescope", "print.themescope", "summary.themescope", "themescope" ] }, { "page": "themescope_app", "title": "Launch the themescopeR Shiny application", "topics": [ "themescope_app" ] }, { "page": "themescope_cache_dir", "title": "Location of the themescopeR model cache", "topics": [ "themescope_cache_dir" ] }, { "page": "themescope_colours", "title": "ThemeScope pastel colour palette", "topics": [ "themescope_colours" ] }, { "page": "top_terms", "title": "Top terms per community", "topics": [ "top_terms" ] }, { "page": "ts_clear_cache", "title": "Delete cached language models", "topics": [ "ts_clear_cache" ] }, { "page": "ts_download_model", "title": "Download and cache an updated udpipe language model", "topics": [ "ts_download_model" ] }, { "page": "ts_list_models", "title": "List the available updated language models", "topics": [ "ts_list_models" ] }, { "page": "ts_model_path", "title": "Resolve the cached path of an updated udpipe model", "topics": [ "ts_model_path" ] }, { "page": "validate_words_df", "title": "Validate an annotated words data frame", "topics": [ "validate_words_df" ] }, { "page": "zscore", "title": "Compute z-scores", "topics": [ "zscore" ] } ], "_pkglogo": "https://github.com/lucadaniello/themescoper/raw/HEAD/man/figures/logo.svg", "_readme": "https://github.com/lucadaniello/themescoper/raw/HEAD/README.md", "_rundeps": [ "bit", "bit64", "cellranger", "cli", "clipr", "cpp11", "crayon", "data.table", "dplyr", "farver", "generics", "ggplot2", "ggrepel", "glue", "gtable", "hms", "igraph", "isoband", "labeling", "lattice", "lifecycle", "magrittr", "Matrix", "pillar", "pkgconfig", "prettyunits", "progress", "R6", "RColorBrewer", "Rcpp", "readr", "readxl", "rematch", "rlang", "S7", "scales", "tibble", "tidyselect", "tzdb", "udpipe", "utf8", "vctrs", "viridisLite", "vroom", "withr" ], "_score": 3.5440680443502757, "_indexed": true, "_nocasepkg": "themescoper", "_universes": [ "lucadaniello" ], "_binaries": [ { "r": "4.7.0", "os": "linux", "version": "0.1.1", "date": "2026-09-22T09:14:06.000Z", "distro": "resolute", "commit": "1a1eb9455678f9e5580b04853669323c0345816e", "fileid": "https://r2.ropensci.org/f5379b3947d1ed6a06f6e0b96645a8717ce54d0b406dea09aea83d6915b917c0", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/lucadaniello/actions/runs/35708527376" }, { "r": "4.6.1", "os": "linux", "version": "0.1.1", "date": "2026-09-22T09:14:02.000Z", "distro": "resolute", "commit": "1a1eb9455678f9e5580b04853669323c0345816e", "fileid": "https://r2.ropensci.org/03e46f3f2d66bd96309416237d433ac80c6cc76fa9bb7146e7168635f1aaf2ff", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/lucadaniello/actions/runs/35708527376" }, { "r": "4.5.3", "os": "mac", "version": "0.1.1", "date": "2026-09-22T09:14:42.000Z", "commit": "1a1eb9455678f9e5580b04853669323c0345816e", "fileid": "https://r2.ropensci.org/e528cee043e4cc440e11fed8ff0adefa4c5d5e676becfd32572f7cb40ad6050a", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/lucadaniello/actions/runs/35708527376" }, { "r": "4.6.1", "os": "mac", "version": "0.1.1", "date": "2026-09-22T09:14:22.000Z", "commit": "1a1eb9455678f9e5580b04853669323c0345816e", "fileid": "https://r2.ropensci.org/430dea11f90b23627cdfb9e047f5f75ef96029758626bdc9e15fa14c98ea4e45", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/lucadaniello/actions/runs/35708527376" }, { "r": "4.6.0", "os": "wasm", "version": "0.1.1", "date": "2026-09-22T09:14:16.000Z", "commit": "1a1eb9455678f9e5580b04853669323c0345816e", "fileid": "https://r2.ropensci.org/623739521bf2e221f04f15de9986d1257235aa33706f2da28e3065f3ede0dcc3", "status": "success", "buildurl": "https://github.com/r-universe/lucadaniello/actions/runs/35708527376" }, { "r": "4.7.0", "os": "win", "version": "0.1.1", "date": "2026-09-22T09:12:46.000Z", "commit": "1a1eb9455678f9e5580b04853669323c0345816e", "fileid": "https://r2.ropensci.org/6dc62d73df5fd5f0ebfdde978999aff530556f1f46c79b852fd5aed4d2fac438", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/lucadaniello/actions/runs/35708527376" }, { "r": "4.5.3", "os": "win", "version": "0.1.1", "date": "2026-09-22T09:12:36.000Z", "commit": "1a1eb9455678f9e5580b04853669323c0345816e", "fileid": "https://r2.ropensci.org/e50de260382ec410b695f6ea7e0b2c4328092f228692a20a2e5ce06b710095d0", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/lucadaniello/actions/runs/35708527376" }, { "r": "4.6.1", "os": "win", "version": "0.1.1", "date": "2026-09-22T09:12:53.000Z", "commit": "1a1eb9455678f9e5580b04853669323c0345816e", "fileid": "https://r2.ropensci.org/5539c2fd4102fb6a2e53c0328d3dbd3a62389f825c6ef99043a718fac5e9660b", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/lucadaniello/actions/runs/35708527376" } ] }