{
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   "source": [
    "# 01 — Analyse exploratoire du corpus UGA\n",
    "\n",
    "**Objectif.** Caractériser la production scientifique de l'Université Grenoble\n",
    "Alpes à partir d'un échantillon record-level réel d'OpenAlex (2019-2024) :\n",
    "volumétrie, complétude, types de documents, accès ouvert, citations et\n",
    "collaborations. C'est l'étape d'**EDA approfondie** qui précède toute analyse.\n",
    "\n",
    "**Méthode d'échantillonnage.** On utilise l'échantillonnage aléatoire natif\n",
    "d'OpenAlex (`sample` + `seed=42`) : un tirage **représentatif et reproductible**.\n",
    "C'est essentiel — le tri par défaut de l'API privilégie les articles les plus\n",
    "cités, ce qui biaiserait toute statistique descriptive. Données 100 % réelles,\n",
    "mises en cache localement."
   ]
  },
  {
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   "id": "a227edf6",
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     "status": "completed"
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   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Échantillon aléatoire : 4,000 publications | années 2019-2024\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>doi</th>\n",
       "      <th>title</th>\n",
       "      <th>year</th>\n",
       "      <th>cited_by_count</th>\n",
       "      <th>type</th>\n",
       "      <th>is_oa</th>\n",
       "      <th>oa_status</th>\n",
       "      <th>topic</th>\n",
       "      <th>field</th>\n",
       "      <th>domain</th>\n",
       "      <th>venue</th>\n",
       "      <th>n_authors</th>\n",
       "      <th>abstract_len</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>https://openalex.org/W3037606965</td>\n",
       "      <td>https://doi.org/10.4000/culturemusees.5231</td>\n",
       "      <td>Cristina Badulescu &amp;amp; Valérie-Inés de La Vi...</td>\n",
       "      <td>2020</td>\n",
       "      <td>0</td>\n",
       "      <td>article</td>\n",
       "      <td>True</td>\n",
       "      <td>diamond</td>\n",
       "      <td>Museums and Cultural Heritage</td>\n",
       "      <td>Arts and Humanities</td>\n",
       "      <td>Social Sciences</td>\n",
       "      <td>Culture &amp; Musées</td>\n",
       "      <td>1</td>\n",
       "      <td>74</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>https://openalex.org/W2958659790</td>\n",
       "      <td>https://doi.org/10.3917/pld.121.0005</td>\n",
       "      <td>Le couteau suisse des politiques migratoires</td>\n",
       "      <td>2019</td>\n",
       "      <td>3</td>\n",
       "      <td>article</td>\n",
       "      <td>True</td>\n",
       "      <td>green</td>\n",
       "      <td>Multiculturalism, Politics, Migration, Gender</td>\n",
       "      <td>Social Sciences</td>\n",
       "      <td>Social Sciences</td>\n",
       "      <td>Plein droit</td>\n",
       "      <td>2</td>\n",
       "      <td>91</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>https://openalex.org/W4296997701</td>\n",
       "      <td>https://doi.org/10.5194/epsc2022-1031</td>\n",
       "      <td>Observing the very early stages of the formati...</td>\n",
       "      <td>2022</td>\n",
       "      <td>0</td>\n",
       "      <td>preprint</td>\n",
       "      <td>True</td>\n",
       "      <td>gold</td>\n",
       "      <td>Astrophysics and Star Formation Studies</td>\n",
       "      <td>Physics and Astronomy</td>\n",
       "      <td>Physical Sciences</td>\n",
       "      <td>NaN</td>\n",
       "      <td>15</td>\n",
       "      <td>258</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                 id                                         doi  \\\n",
       "0  https://openalex.org/W3037606965  https://doi.org/10.4000/culturemusees.5231   \n",
       "1  https://openalex.org/W2958659790        https://doi.org/10.3917/pld.121.0005   \n",
       "2  https://openalex.org/W4296997701       https://doi.org/10.5194/epsc2022-1031   \n",
       "\n",
       "                                               title  year  cited_by_count      type  is_oa oa_status  \\\n",
       "0  Cristina Badulescu &amp; Valérie-Inés de La Vi...  2020               0   article   True   diamond   \n",
       "1       Le couteau suisse des politiques migratoires  2019               3   article   True     green   \n",
       "2  Observing the very early stages of the formati...  2022               0  preprint   True      gold   \n",
       "\n",
       "                                           topic                  field             domain             venue  \\\n",
       "0                  Museums and Cultural Heritage    Arts and Humanities    Social Sciences  Culture & Musées   \n",
       "1  Multiculturalism, Politics, Migration, Gender        Social Sciences    Social Sciences       Plein droit   \n",
       "2        Astrophysics and Star Formation Studies  Physics and Astronomy  Physical Sciences               NaN   \n",
       "\n",
       "   n_authors  abstract_len  \n",
       "0          1            74  \n",
       "1          2            91  \n",
       "2         15           258  "
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "from lib import set_seeds, load_works, load_mart, CONFIG\n",
    "from lib.viz import new_axes, BRAND, ACCENT, PALETTE\n",
    "\n",
    "set_seeds()\n",
    "pd.set_option(\"display.max_columns\", 30)\n",
    "pd.set_option(\"display.width\", 120)\n",
    "\n",
    "df = load_works()\n",
    "print(f\"Échantillon aléatoire : {len(df):,} publications | années {df['year'].min()}-{df['year'].max()}\")\n",
    "df.head(3)"
   ]
  },
  {
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     "status": "completed"
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    "tags": []
   },
   "source": [
    "## 1. Structure et types de données\n",
    "\n",
    "On inspecte d'abord le schéma (types, cardinalité) avant toute statistique."
   ]
  },
  {
   "cell_type": "code",
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   "id": "5880b2c3",
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     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>dtype</th>\n",
       "      <th>non_null</th>\n",
       "      <th>n_unique</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>id</th>\n",
       "      <td>str</td>\n",
       "      <td>4000</td>\n",
       "      <td>4000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>doi</th>\n",
       "      <td>str</td>\n",
       "      <td>3540</td>\n",
       "      <td>3536</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>title</th>\n",
       "      <td>str</td>\n",
       "      <td>4000</td>\n",
       "      <td>3958</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>year</th>\n",
       "      <td>int64</td>\n",
       "      <td>4000</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>cited_by_count</th>\n",
       "      <td>int64</td>\n",
       "      <td>4000</td>\n",
       "      <td>170</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>type</th>\n",
       "      <td>str</td>\n",
       "      <td>4000</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>is_oa</th>\n",
       "      <td>bool</td>\n",
       "      <td>4000</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>oa_status</th>\n",
       "      <td>str</td>\n",
       "      <td>4000</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>topic</th>\n",
       "      <td>str</td>\n",
       "      <td>3979</td>\n",
       "      <td>1470</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>field</th>\n",
       "      <td>str</td>\n",
       "      <td>3979</td>\n",
       "      <td>26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>domain</th>\n",
       "      <td>str</td>\n",
       "      <td>3979</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>venue</th>\n",
       "      <td>str</td>\n",
       "      <td>3388</td>\n",
       "      <td>1522</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>n_authors</th>\n",
       "      <td>int64</td>\n",
       "      <td>4000</td>\n",
       "      <td>85</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>abstract_len</th>\n",
       "      <td>int64</td>\n",
       "      <td>4000</td>\n",
       "      <td>491</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                dtype  non_null  n_unique\n",
       "id                str      4000      4000\n",
       "doi               str      3540      3536\n",
       "title             str      4000      3958\n",
       "year            int64      4000         6\n",
       "cited_by_count  int64      4000       170\n",
       "type              str      4000        15\n",
       "is_oa            bool      4000         2\n",
       "oa_status         str      4000         6\n",
       "topic             str      3979      1470\n",
       "field             str      3979        26\n",
       "domain            str      3979         4\n",
       "venue             str      3388      1522\n",
       "n_authors       int64      4000        85\n",
       "abstract_len    int64      4000       491"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "schema = pd.DataFrame(\n",
    "    {\n",
    "        \"dtype\": df.dtypes.astype(str),\n",
    "        \"non_null\": df.notna().sum(),\n",
    "        \"n_unique\": df.nunique(),\n",
    "    }\n",
    ")\n",
    "schema"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "96bf6785",
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    "tags": []
   },
   "source": [
    "## 2. Complétude (valeurs manquantes)\n",
    "\n",
    "La qualité d'une analyse dépend de la complétude des champs. On quantifie le\n",
    "taux de valeurs manquantes par colonne : c'est un contrôle de fiabilisation."
   ]
  },
  {
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   "id": "fc061a6c",
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   "outputs": [
    {
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",
      "text/plain": [
       "<Figure size 1350x675 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "missing = (df.isna().mean() * 100).round(2).sort_values(ascending=False)\n",
    "missing = missing[missing > 0]\n",
    "ax = new_axes(\"Taux de valeurs manquantes par champ\", ylabel=\"% manquant\")\n",
    "if len(missing):\n",
    "    missing.plot.bar(ax=ax, color=BRAND)\n",
    "else:\n",
    "    ax.text(0.5, 0.5, \"Aucune valeur manquante\", ha=\"center\", va=\"center\")\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8ec7635c",
   "metadata": {
    "papermill": {
     "duration": 0.006572,
     "end_time": "2026-06-16T12:32:45.783900+00:00",
     "exception": false,
     "start_time": "2026-06-16T12:32:45.777328+00:00",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "## 3. Distribution temporelle\n",
    "\n",
    "Répartition du volume par année sur la fenêtre étudiée. Sur un tirage\n",
    "aléatoire, les années sont équilibrées à la croissance réelle du corpus près."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "5884b278",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-06-16T12:32:45.797348Z",
     "iopub.status.busy": "2026-06-16T12:32:45.797227Z",
     "iopub.status.idle": "2026-06-16T12:32:46.007880Z",
     "shell.execute_reply": "2026-06-16T12:32:46.007319Z"
    },
    "papermill": {
     "duration": 0.218754,
     "end_time": "2026-06-16T12:32:46.008246+00:00",
     "exception": false,
     "start_time": "2026-06-16T12:32:45.789492+00:00",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1350x675 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "by_year = df.groupby(\"year\").size()\n",
    "ax = new_axes(\"Publications par année (échantillon)\", xlabel=\"Année\", ylabel=\"Publications\")\n",
    "by_year.plot.bar(ax=ax, color=BRAND)\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0c33ef16",
   "metadata": {
    "papermill": {
     "duration": 0.007521,
     "end_time": "2026-06-16T12:32:46.019164+00:00",
     "exception": false,
     "start_time": "2026-06-16T12:32:46.011643+00:00",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "## 4. Types de documents et accès ouvert"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "7de4e63c",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-06-16T12:32:46.031310Z",
     "iopub.status.busy": "2026-06-16T12:32:46.031181Z",
     "iopub.status.idle": "2026-06-16T12:32:46.408123Z",
     "shell.execute_reply": "2026-06-16T12:32:46.407573Z"
    },
    "papermill": {
     "duration": 0.383353,
     "end_time": "2026-06-16T12:32:46.408578+00:00",
     "exception": false,
     "start_time": "2026-06-16T12:32:46.025225+00:00",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1800x630 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axes = plt.subplots(1, 2, figsize=(12, 4.2))\n",
    "df[\"type\"].value_counts().head(8).plot.barh(ax=axes[0], color=BRAND)\n",
    "axes[0].set_title(\"Types de documents (top 8)\")\n",
    "axes[0].invert_yaxis()\n",
    "\n",
    "oa_share = df[\"is_oa\"].mean()\n",
    "df[\"oa_status\"].value_counts().plot.pie(\n",
    "    ax=axes[1], autopct=\"%1.0f%%\", colors=PALETTE, ylabel=\"\"\n",
    ")\n",
    "axes[1].set_title(f\"Accès ouvert — {oa_share:.0%} en libre accès\")\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2d461431",
   "metadata": {
    "papermill": {
     "duration": 0.008457,
     "end_time": "2026-06-16T12:32:46.423247+00:00",
     "exception": false,
     "start_time": "2026-06-16T12:32:46.414790+00:00",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "## 5. Citations : une distribution très asymétrique\n",
    "\n",
    "Les citations suivent une loi fortement asymétrique (quelques articles très\n",
    "cités, une longue traîne). On la visualise en échelle logarithmique. Sur un\n",
    "tirage représentatif, la **médiane** est faible (les articles récents ont peu\n",
    "de recul de citation), tandis que la moyenne est tirée par la traîne."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "f36af38c",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-06-16T12:32:46.439274Z",
     "iopub.status.busy": "2026-06-16T12:32:46.439146Z",
     "iopub.status.idle": "2026-06-16T12:32:46.745442Z",
     "shell.execute_reply": "2026-06-16T12:32:46.744879Z"
    },
    "papermill": {
     "duration": 0.313978,
     "end_time": "2026-06-16T12:32:46.745790+00:00",
     "exception": false,
     "start_time": "2026-06-16T12:32:46.431812+00:00",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1350x675 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>statistique</th>\n",
       "      <th>citations</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>moyenne</td>\n",
       "      <td>14.20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>médiane</td>\n",
       "      <td>2.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>p90</td>\n",
       "      <td>32.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>p99</td>\n",
       "      <td>165.05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>max</td>\n",
       "      <td>1995.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>% jamais cité</td>\n",
       "      <td>35.60</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     statistique  citations\n",
       "0        moyenne      14.20\n",
       "1        médiane       2.50\n",
       "2            p90      32.00\n",
       "3            p99     165.05\n",
       "4            max    1995.00\n",
       "5  % jamais cité      35.60"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cites = df[\"cited_by_count\"].clip(lower=0)\n",
    "ax = new_axes(\"Distribution des citations (échelle log)\", xlabel=\"Citations\", ylabel=\"Publications\")\n",
    "ax.hist(cites + 1, bins=40, color=ACCENT, log=True)\n",
    "ax.set_xscale(\"log\")\n",
    "plt.tight_layout()\n",
    "plt.show()\n",
    "\n",
    "pd.DataFrame(\n",
    "    {\n",
    "        \"statistique\": [\"moyenne\", \"médiane\", \"p90\", \"p99\", \"max\", \"% jamais cité\"],\n",
    "        \"citations\": [\n",
    "            round(cites.mean(), 1),\n",
    "            cites.median(),\n",
    "            cites.quantile(0.90),\n",
    "            cites.quantile(0.99),\n",
    "            cites.max(),\n",
    "            round((cites == 0).mean() * 100, 1),\n",
    "        ],\n",
    "    }\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d3800372",
   "metadata": {
    "papermill": {
     "duration": 0.007013,
     "end_time": "2026-06-16T12:32:46.756940+00:00",
     "exception": false,
     "start_time": "2026-06-16T12:32:46.749927+00:00",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "## 6. Collaboration et thématiques\n",
    "\n",
    "Nombre d'auteurs par publication (indicateur de collaboration) et principaux\n",
    "domaines scientifiques."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "4c231528",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-06-16T12:32:46.771003Z",
     "iopub.status.busy": "2026-06-16T12:32:46.770873Z",
     "iopub.status.idle": "2026-06-16T12:32:47.278034Z",
     "shell.execute_reply": "2026-06-16T12:32:47.277496Z"
    },
    "papermill": {
     "duration": 0.51469,
     "end_time": "2026-06-16T12:32:47.278450+00:00",
     "exception": false,
     "start_time": "2026-06-16T12:32:46.763760+00:00",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1800x630 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axes = plt.subplots(1, 2, figsize=(12, 4.2))\n",
    "df[\"n_authors\"].clip(upper=30).plot.hist(ax=axes[0], bins=30, color=BRAND)\n",
    "axes[0].set_title(\"Auteurs par publication (plafonné à 30)\")\n",
    "axes[0].set_xlabel(\"Nb d'auteurs\")\n",
    "\n",
    "df[\"field\"].value_counts().head(8).plot.barh(ax=axes[1], color=ACCENT)\n",
    "axes[1].set_title(\"Principaux domaines (OpenAlex fields)\")\n",
    "axes[1].invert_yaxis()\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "62b10e14",
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     "status": "completed"
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   "source": [
    "## 7. Validation de la représentativité de l'échantillon\n",
    "\n",
    "Contrôle croisé rigoureux : un échantillon aléatoire doit reproduire les\n",
    "agrégats du corpus complet **sur la même fenêtre temporelle**. Comparer le taux\n",
    "d'accès ouvert de l'échantillon (2019-2024) au taux global tous millésimes\n",
    "(mart `openAccessShare`, 2010-2026) serait trompeur, car l'accès ouvert a\n",
    "fortement progressé dans le temps. On reconstruit donc le taux de référence\n",
    "2019-2024 à partir de la série `oaByYear`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "633eee5f",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-06-16T12:32:47.306326Z",
     "iopub.status.busy": "2026-06-16T12:32:47.306201Z",
     "iopub.status.idle": "2026-06-16T12:32:47.311185Z",
     "shell.execute_reply": "2026-06-16T12:32:47.310592Z"
    },
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     "exception": false,
     "start_time": "2026-06-16T12:32:47.298503+00:00",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Corpus complet OpenAlex (mart)        : 140,692 publications\n",
      "Échantillon record-level (EDA)        : 4,000 publications (2019-2024)\n",
      "Taux d'accès ouvert — corpus 2019-2024: 68.4%\n",
      "Taux d'accès ouvert — échantillon     : 68.2%\n",
      "Écart absolu                          : 0.2 points\n",
      "→ Échantillon représentatif.\n"
     ]
    }
   ],
   "source": [
    "overview = load_mart(\"overview\")\n",
    "\n",
    "window = [r for r in overview[\"oaByYear\"] if CONFIG.from_year <= r[\"year\"] <= CONFIG.to_year]\n",
    "oa_window = sum(r[\"oaWorks\"] for r in window) / sum(r[\"total\"] for r in window)\n",
    "oa_sample = df[\"is_oa\"].mean()\n",
    "ecart = abs(oa_window - oa_sample) * 100\n",
    "\n",
    "print(f\"Corpus complet OpenAlex (mart)        : {overview['totalWorks']:,} publications\")\n",
    "print(f\"Échantillon record-level (EDA)        : {len(df):,} publications (2019-2024)\")\n",
    "print(f\"Taux d'accès ouvert — corpus 2019-2024: {oa_window:.1%}\")\n",
    "print(f\"Taux d'accès ouvert — échantillon     : {oa_sample:.1%}\")\n",
    "print(f\"Écart absolu                          : {ecart:.1f} points\")\n",
    "print(\"→ Échantillon représentatif.\" if ecart < 5 else \"→ Écart à investiguer.\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dc9b0bde",
   "metadata": {
    "papermill": {
     "duration": 0.006807,
     "end_time": "2026-06-16T12:32:47.322599+00:00",
     "exception": false,
     "start_time": "2026-06-16T12:32:47.315792+00:00",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "**Lecture.** À fenêtre égale, l'échantillon aléatoire reproduit fidèlement le\n",
    "taux d'accès ouvert du corpus (écart de quelques dixièmes de point), ce qui\n",
    "valide son usage pour les analyses fines des notebooks suivants (topic\n",
    "modeling, réseau, bibliométrie). La distribution des citations confirme une\n",
    "forte asymétrie : médiane faible, longue traîne d'articles très cités, et une\n",
    "part notable d'articles encore jamais cités (normal sur une fenêtre récente)."
   ]
  }
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