cina/codemeta.json at main · zxsa0716/cina · GitHub

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{
  "@context": "https://doi.org/10.5063/schema/codemeta-2.0",
  "@type": "SoftwareSourceCode",
  "identifier": "cina",
  "name": "CINA: Climate Issue-Network Analysis Framework",
  "description": "An end-to-end LLM → graph → LLM pipeline for climate-negotiation intelligence. Multi-axis Stage 1 stance extraction (stance + NATO 4-axis policy instruments + 5-frame typology + procedural-authority signals), Stage 2 heterogeneous graph + Leiden + heterogeneous R-GAT, Stage 3 graph-grounded briefing generation. Retrospectively validated on COP30 Belém Adaptation Indicators (FCCC/PA/CMA/2025/L.25E).",
  "codeRepository": "https://github.com/zxsa0716/cina",
  "url": "https://zxsa0716.github.io/cina/",
  "downloadUrl": "https://github.com/zxsa0716/cina/archive/refs/tags/v3.0.0.zip",
  "issueTracker": "https://github.com/zxsa0716/cina/issues",
  "license": "https://spdx.org/licenses/MIT.html",
  "version": "3.0.0",
  "datePublished": "2026-05-05",
  "dateModified": "2026-05-05",
  "softwareVersion": "3.0.0",
  "programmingLanguage": [
    {
      "@type": "ComputerLanguage",
      "name": "Python",
      "version": ">=3.11"
    }
  ],
  "operatingSystem": ["Linux", "macOS", "Windows"],
  "softwareRequirements": [
    "torch>=2.2",
    "numpy>=1.26",
    "scipy>=1.11",
    "matplotlib>=3.8",
    "networkx>=3.2",
    "python-igraph>=0.11.3",
    "leidenalg>=0.10.1",
    "rapidfuzz>=3.6",
    "pydantic>=2.6"
  ],
  "author": [
    {
      "@type": "Person",
      "givenName": "Heedo",
      "familyName": "Choi",
      "alternateName": "최희도",
      "email": "zxsa0716@kookmin.ac.kr",
      "affiliation": {
        "@type": "Organization",
        "name": "Department of Climate Technology Convergence (기후기술융합학과), Kookmin University"
      }
    }
  ],
  "maintainer": [
    {
      "@type": "Person",
      "givenName": "Heedo",
      "familyName": "Choi",
      "email": "zxsa0716@kookmin.ac.kr"
    }
  ],
  "keywords": [
    "climate-negotiations",
    "cop30",
    "cop31",
    "unfccc",
    "adaptation",
    "large-language-models",
    "graph-neural-networks",
    "graph-attention-network",
    "leiden-algorithm",
    "regime-complex",
    "two-level-games",
    "norm-entrepreneur",
    "policy-instruments",
    "korea",
    "brazil"
  ],
  "applicationCategory": "Climate / International Relations / Computational Social Science",
  "developmentStatus": "active",
  "funding": "Self-funded graduate research project",
  "isPartOf": "Kookmin University Graduate Global Climate Leadership programme (2026 Spring)",
  "readme": "https://github.com/zxsa0716/cina#readme",
  "citation": "Choi, Heedo (2026). CINA: Climate Issue-Network Analysis Framework [graduate research project, unpublished]. Kookmin University. https://github.com/zxsa0716/cina"
}