{ "cells": [ { "cell_type": "markdown", "id": "0", "metadata": {}, "source": [ "# SAGT 2026" ] }, { "cell_type": "markdown", "id": "1", "metadata": {}, "source": [ "GisMap can be used to analyse not only labs but also conferences. This is illustrated on the SAGT 2026 conference: https://www.uni-augsburg.de/de/fakultaet/fai/conferences/sagt-2026/" ] }, { "cell_type": "markdown", "id": "2", "metadata": {}, "source": [ "## Data retrieval" ] }, { "cell_type": "markdown", "id": "3", "metadata": {}, "source": [ "As SAGT is an international Computer Science conference, we select only LDB, the local DBLP mirror." ] }, { "cell_type": "code", "execution_count": 1, "id": "4", "metadata": { "execution": { "iopub.execute_input": "2026-09-07T16:42:06.589286Z", "iopub.status.busy": "2026-09-07T16:42:06.589133Z", "iopub.status.idle": "2026-09-07T16:42:22.150305Z", "shell.execute_reply": "2026-09-07T16:42:22.149390Z" } }, "outputs": [], "source": [ "from gismap.lab_examples.sagt_2026 import SAGT\n", "from gismap.utils.logger import logger\n", "import logging\n", "logger.setLevel(logging.ERROR)" ] }, { "cell_type": "code", "execution_count": 2, "id": "5", "metadata": { "execution": { "iopub.execute_input": "2026-09-07T16:42:22.152223Z", "iopub.status.busy": "2026-09-07T16:42:22.151941Z", "iopub.status.idle": "2026-09-07T16:42:52.901031Z", "shell.execute_reply": "2026-09-07T16:42:52.900328Z" } }, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "bab9fd123c174332a779d9e44dd16b2c", "version_major": 2, "version_minor": 0 }, "text/plain": [ "Author information: 0it [00:00, ?it/s]" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "044f9f7de2a144969ccccbbe2a80e320", "version_major": 2, "version_minor": 0 }, "text/plain": [ "Publications information: 0%| | 0/114 [00:00
© GisMap 2025
No collaboration in this selection.
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\n", "\n", "" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "from collections import Counter\n", "groups = {\n", " \"PC\": {\"display\": \"Programme committee\", \"color\": \"rgb(90, 140, 200)\"},\n", " \"Author\": {\"display\": \"SAGT authors\", \"color\": \"rgb(230, 145, 60)\"},\n", " \"Other\": {\"display\": \"Invited and tutorial\", \"color\": \"rgb(175, 130, 190)\"},\n", "}\n", "g_l = Counter(a.metadata.group for a in sagt.authors.values())\n", "for g in groups:\n", " groups[g][\"display_alt\"] = f\"{g_l[g]} people\"\n", "\n", "sagt.show_html(groups=groups)" ] }, { "cell_type": "markdown", "id": "9", "metadata": {}, "source": [ "## Keywords" ] }, { "cell_type": "markdown", "id": "10", "metadata": {}, "source": [ "Let us compare the PC keywords to the author keywords. We manually remove a few additional words that are common in the SAGT community." ] }, { "cell_type": "code", "execution_count": 4, "id": "11", "metadata": { "execution": { "iopub.execute_input": "2026-09-07T16:42:53.264296Z", "iopub.status.busy": "2026-09-07T16:42:53.264064Z", "iopub.status.idle": "2026-09-07T16:42:55.267423Z", "shell.execute_reply": "2026-09-07T16:42:55.266660Z" } }, "outputs": [], "source": [ "from IPython.display import display\n", "from gismap.gismo import sw\n", "gismo = sagt.gismo_lab(stop_words=sw+[\"networks\", \"problems\", \"algorithms\", \"games\", \"functions\", \"problem\"])" ] }, { "cell_type": "code", "execution_count": 5, "id": "12", "metadata": { "execution": { "iopub.execute_input": "2026-09-07T16:42:55.269250Z", "iopub.status.busy": "2026-09-07T16:42:55.269084Z", "iopub.status.idle": "2026-09-07T16:42:57.030070Z", "shell.execute_reply": "2026-09-07T16:42:57.029174Z" } }, "outputs": [ { "data": { "text/html": [ "
Keywords — group “Author”
Facility LocationFair DivisionEquilibriumLearningMechanismsPricingComplexityMatchingConvexSchedulingGraphsAuctionsVotingTimeOptimalSocialAlgorithmDesignMultiMarketsOnlineApproximationEfficientPreferencesNetworkDataSystemsFairnessStableParameterizedCombinatorialStabilityNashAnalysisHedonicComputingLinearGameEnvyIndivisibleCostSorting
" ], "text/plain": [ "WordCloud(42 words)" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "display(sagt.wordcloud(group=\"Author\", gismo_lab=gismo))" ] }, { "cell_type": "code", "execution_count": 6, "id": "13", "metadata": { "execution": { "iopub.execute_input": "2026-09-07T16:42:57.033841Z", "iopub.status.busy": "2026-09-07T16:42:57.033638Z", "iopub.status.idle": "2026-09-07T16:42:57.125542Z", "shell.execute_reply": "2026-09-07T16:42:57.125089Z" } }, "outputs": [ { "data": { "text/html": [ "
Keywords — group “PC”
Mechanism DesignFacility LocationPricingElectionsComplexityGraphsMatchingsEquilibriumDynamicsNetworkSocialCongestionOnlineOptimalLearningVotingFairStableSchedulingHedonicNashApproximationEfficientStabilityStrategicMultiTimeCombinatorialPreferencesControlMarketsWelfareIndivisibleGameGoodsRoutingCostWeighted
" ], "text/plain": [ "WordCloud(38 words)" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "display(sagt.wordcloud(group=\"PC\", gismo_lab=gismo))" ] }, { "cell_type": "markdown", "id": "14", "metadata": {}, "source": [ "The keywords can also be retrieved as ranked lists, e.g. to reuse them outside the notebook:" ] }, { "cell_type": "code", "execution_count": 7, "id": "15", "metadata": { "execution": { "iopub.execute_input": "2026-09-07T16:42:57.130826Z", "iopub.status.busy": "2026-09-07T16:42:57.130635Z", "iopub.status.idle": "2026-09-07T16:42:57.317609Z", "shell.execute_reply": "2026-09-07T16:42:57.314106Z" } }, "outputs": [ { "data": { "text/plain": [ "{'pc': ['mechanism design',\n", " 'facility location',\n", " 'pricing',\n", " 'elections',\n", " 'complexity',\n", " 'graphs',\n", " 'matchings',\n", " 'equilibrium',\n", " 'dynamics',\n", " 'network'],\n", " 'accepted': ['facility location',\n", " 'fair division',\n", " 'equilibrium',\n", " 'learning',\n", " 'mechanisms',\n", " 'pricing',\n", " 'complexity',\n", " 'matching',\n", " 'convex',\n", " 'scheduling']}" ] }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], "source": [ "pc = sagt.keywords(group=\"PC\", gismo_lab=gismo)\n", "aut = sagt.keywords(group=\"Author\", gismo_lab=gismo)\n", "{\"pc\": [w for w, _ in pc[:10]], \"accepted\": [w for w, _ in aut[:10]]}" ] }, { "cell_type": "markdown", "id": "16", "metadata": {}, "source": [ "## Homonyms\n", "\n", "Many participants have common names that match several DBLP entries, e.g. *Bo Li* or *Jie Zhang*. Without help, GisMap keeps all the candidates, so the publications of unrelated homonyms get merged. The `SAGT` class ships an `overrides` dictionary that pins the right entry for each of them.\n", "\n", "These overrides were obtained semi-automatically with `propose_overrides()`, which ranks the candidates of each ambiguous name by the number of co-authors they share with the rest of the conference, and proposes the ones that stand out. Let us replay it on a conference built without the overrides (`update_authors` warns about the ambiguous names):" ] }, { "cell_type": "code", "execution_count": 8, "id": "17", "metadata": { "execution": { "iopub.execute_input": "2026-09-07T16:42:57.319552Z", "iopub.status.busy": "2026-09-07T16:42:57.319321Z", "iopub.status.idle": "2026-09-07T16:43:02.141975Z", "shell.execute_reply": "2026-09-07T16:43:02.141220Z" } }, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "6e29f1527e884f57be3e0b1b870e668a", "version_major": 2, "version_minor": 0 }, "text/plain": [ "Author information: 0it [00:00, ?it/s]" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stderr", "output_type": "stream", "text": [ "WARNING:GisMap:25 author(s) match several entries of the same database, so homonyms may be merged: Jie Zhang (185), Bo Li (181), Tao Lin (27), Hanrui Zhang (10), Lukas Graf (5), and 20 more. Run propose_overrides() to disambiguate.\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "=== 25 ambiguous author(s), 20 proposal(s) ===\n", "Angelo Fanelli: propose ldb:70/4474, no_auto (2 candidates)\n", " ldb:70/4474: 5 shared / 25 co-authors\n", "Yiding Feng: propose ldb:207/4923, no_auto (2 candidates)\n", " ldb:207/4923: 1 shared / 34 co-authors\n", "Dimitris Fotakis: propose ldb:95/4731, no_auto (3 candidates)\n", " ldb:95/4731: 6 shared / 159 co-authors\n", "Paul Goldberg: propose ldb:81/760, no_auto (2 candidates)\n", " ldb:81/760: 17 shared / 118 co-authors\n", "Lukas Graf: undecided (5 candidates)\n", "Anthony Kim: undecided (2 candidates)\n", "Bo Li: propose ldb:50/3402-37, no_auto (181 candidates, 2 discarded)\n", " ldb:50/3402-37: 6 shared / 130 co-authors\n", " ldb:50/3402-115: 1 shared / 105 co-authors\n", " ldb:50/3402-23: 1 shared / 74 co-authors\n", "Minming Li: propose ldb:78/6881, no_auto (2 candidates)\n", " ldb:78/6881: 6 shared / 264 co-authors\n", " ldb:427/0765: 1 shared / 1 co-authors\n", "Tao Lin: undecided (27 candidates)\n", "David Manlove: propose ldb:m/DManlove, no_auto (2 candidates)\n", " ldb:m/DManlove: 4 shared / 107 co-authors\n", " ldb:434/7633: 2 shared / 4 co-authors\n", "Evangelos Markakis: propose ldb:m/EvangelosMarkakis, no_auto (2 candidates)\n", " ldb:m/EvangelosMarkakis: 18 shared / 150 co-authors\n", "Doron Ravid: undecided (2 candidates)\n", "Daniel Schoepflin: propose ldb:256/1650, no_auto (2 candidates)\n", " ldb:256/1650: 1 shared / 23 co-authors\n", "Marc Schröder: propose ldb:88/4000-2, no_auto (5 candidates)\n", " ldb:88/4000-2: 5 shared / 28 co-authors\n", "Jie Zhang: propose ldb:84/6889-8, no_auto (185 candidates, 1 discarded)\n", " ldb:84/6889-8: 5 shared / 88 co-authors\n", " ldb:84/6889-73: 1 shared / 331 co-authors\n", " ldb:84/6889-81: 1 shared / 119 co-authors\n", " ldb:84/6889-39: 1 shared / 65 co-authors\n", " ldb:84/6889-56: 1 shared / 42 co-authors\n", "Hanrui Zhang: propose ldb:168/8847, ldb:168/8847-7, no_auto (10 candidates)\n", " ldb:168/8847: 1 shared / 58 co-authors\n", " ldb:168/8847-7: 1 shared / 11 co-authors\n", "Daniel Ebert: propose ldb:50/9773, no_auto (2 candidates)\n", " ldb:50/9773: 1 shared / 6 co-authors\n", "Dimitar Chakarov: propose ldb:73/7318, no_auto (2 candidates)\n", " ldb:73/7318: 3 shared / 13 co-authors\n", "Jiehua Chen: propose ldb:72/4415-1, no_auto (5 candidates)\n", " ldb:72/4415-1: 5 shared / 80 co-authors\n", "Kui-Wang Choi: undecided (2 candidates)\n", " ldb:440/1298: 1 shared / 1 co-authors\n", " ldb:427/0071: 1 shared / 1 co-authors\n", "Pallavi Jain: propose ldb:136/4807, no_auto (4 candidates)\n", " ldb:136/4807: 3 shared / 52 co-authors\n", "Rafael Gomes: propose ldb:145/7313, no_auto (3 candidates)\n", " ldb:145/7313: 3 shared / 8 co-authors\n", "Sanjukta Roy: propose ldb:178/2824, no_auto (2 candidates)\n", " ldb:178/2824: 8 shared / 42 co-authors\n", "Terrence Adams: propose ldb:157/8440, no_auto (2 candidates)\n", " ldb:157/8440: 1 shared / 7 co-authors\n", "Zeyuan Hu: propose ldb:213/7556-1, no_auto (5 candidates)\n", " ldb:213/7556-1: 1 shared / 7 co-authors\n" ] } ], "source": [ "from gismap.lab_examples.sagt_2026 import overrides\n", "\n", "class RawSAGT(SAGT):\n", " overrides = {}\n", "\n", "raw = RawSAGT(dbs=\"ldb\")\n", "logger.setLevel(logging.WARNING)\n", "raw.update_authors()\n", "proposals = raw.propose_overrides()\n", "print(proposals)" ] }, { "cell_type": "markdown", "id": "18", "metadata": {}, "source": [ "Proposals only cover the names where a candidate stands out; the undecided ones were settled by hand. Compare with the shipped overrides:" ] }, { "cell_type": "code", "execution_count": 9, "id": "19", "metadata": { "execution": { "iopub.execute_input": "2026-09-07T16:43:02.143780Z", "iopub.status.busy": "2026-09-07T16:43:02.143615Z", "iopub.status.idle": "2026-09-07T16:43:02.147503Z", "shell.execute_reply": "2026-09-07T16:43:02.146791Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "20 proposals, 19 identical to the shipped overrides.\n", "Differences: {'Hanrui Zhang': ('ldb:168/8847, ldb:168/8847-7, no_auto', 'ldb:168/8847, no_auto')}\n", "Undecided: ['Lukas Graf', 'Anthony Kim', 'Tao Lin', 'Doron Ravid', 'Kui-Wang Choi']\n" ] } ], "source": [ "proposed = proposals.to_dict()\n", "same = [n for n, spec in proposed.items() if overrides.get(n) == spec]\n", "print(f\"{len(proposed)} proposals, {len(same)} identical to the shipped overrides.\")\n", "print(\"Differences:\", {n: (spec, overrides.get(n)) for n, spec in proposed.items() if n not in same})\n", 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