{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<script>requirejs.config({paths: { 'plotly': ['https://cdn.plot.ly/plotly-latest.min']},});if(!window.Plotly) {{require(['plotly'],function(plotly) {window.Plotly=plotly;});}}</script>"
      ],
      "text/vnd.plotly.v1+html": [
       "<script>requirejs.config({paths: { 'plotly': ['https://cdn.plot.ly/plotly-latest.min']},});if(!window.Plotly) {{require(['plotly'],function(plotly) {window.Plotly=plotly;});}}</script>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import plotly.offline as py\n",
    "from visual import *\n",
    "\n",
    "py.init_notebook_mode(connected=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "section, year = \"cond-mat\", 17\n",
    "volume = \"{}.{}\".format(section, str(year).zfill(2))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "model = Word2Vec.load(\"../stat/word_vec/{}\".format(volume))\n",
    "keys = get_lines(\"../topics/{}.txt\".format(section))\n",
    "extented_keys = closest_keys(keys, model)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.plotly.v1+json": {
       "data": [
        {
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          "color": "green"
         },
         "opacity": 1,
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          "topological",
          "hall",
          "laser",
          "semiconductor",
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          "superconductor",
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          "qubit",
          "metamaterial"
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          0.0114
         ]
        }
       ],
       "layout": {
        "height": 400,
        "margin": {
         "t": 30
        },
        "showlegend": false,
        "width": 600,
        "xaxis": {
         "tickangle": -40
        }
       }
      },
      "text/html": [
       "<div id=\"73af16bb-18ec-4fe9-b8bf-7b6fcb318838\" style=\"height: 400px; width: 600px;\" class=\"plotly-graph-div\"></div><script type=\"text/javascript\">require([\"plotly\"], function(Plotly) { window.PLOTLYENV=window.PLOTLYENV || {};window.PLOTLYENV.BASE_URL=\"https://plot.ly\";Plotly.newPlot(\"73af16bb-18ec-4fe9-b8bf-7b6fcb318838\", [{\"type\": \"bar\", \"marker\": {\"color\": \"green\"}, \"x\": [\"fermi\", \"simulation\", \"topological\", \"hall\", \"laser\", \"semiconductor\", \"graphene\", \"dot\", \"dipole\", \"bose\", \"superconductor\", \"condensation\", \"qubit\", \"metamaterial\"], \"opacity\": 1.0, \"y\": [0.3822, 0.3439, 0.2542, 0.2357, 0.1985, 0.1871, 0.1743, 0.1382, 0.1365, 0.1352, 0.1128, 0.0748, 0.0523, 0.0114]}], {\"showlegend\": false, \"xaxis\": {\"tickangle\": -40}, \"width\": 600, \"height\": 400, \"margin\": {\"t\": 30}}, {\"showLink\": false, \"linkText\": \"Export to plot.ly\"})});</script>"
      ],
      "text/vnd.plotly.v1+html": [
       "<div id=\"73af16bb-18ec-4fe9-b8bf-7b6fcb318838\" style=\"height: 400px; width: 600px;\" class=\"plotly-graph-div\"></div><script type=\"text/javascript\">require([\"plotly\"], function(Plotly) { window.PLOTLYENV=window.PLOTLYENV || {};window.PLOTLYENV.BASE_URL=\"https://plot.ly\";Plotly.newPlot(\"73af16bb-18ec-4fe9-b8bf-7b6fcb318838\", [{\"type\": \"bar\", \"marker\": {\"color\": \"green\"}, \"x\": [\"fermi\", \"simulation\", \"topological\", \"hall\", \"laser\", \"semiconductor\", \"graphene\", \"dot\", \"dipole\", \"bose\", \"superconductor\", \"condensation\", \"qubit\", \"metamaterial\"], \"opacity\": 1.0, \"y\": [0.3822, 0.3439, 0.2542, 0.2357, 0.1985, 0.1871, 0.1743, 0.1382, 0.1365, 0.1352, 0.1128, 0.0748, 0.0523, 0.0114]}], {\"showlegend\": false, \"xaxis\": {\"tickangle\": -40}, \"width\": 600, \"height\": 400, \"margin\": {\"t\": 30}}, {\"showLink\": false, \"linkText\": \"Export to plot.ly\"})});</script>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "keys_rate(section, year)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.plotly.v1+json": {
       "data": [
        {
         "hoverinfo": "value",
         "marker": {
          "color": "red"
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         "opacity": 1,
         "type": "bar",
         "x": [
          "bose",
          "condensation"
         ],
         "y": [
          -0.0073,
          -0.0034
         ]
        },
        {
         "hoverinfo": "value",
         "marker": {
          "color": "red"
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         "name": "up",
         "opacity": 1,
         "type": "bar",
         "x": [
          "fermi",
          "superconductor",
          "dot",
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          "semiconductor",
          "laser",
          "hall",
          "graphene",
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         "y": [
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       "layout": {
        "height": 400,
        "margin": {
         "t": 30
        },
        "showlegend": false,
        "width": 600,
        "xaxis": {
         "tickangle": -40
        }
       }
      },
      "text/html": [
       "<div id=\"ec91f3af-ca07-4bcd-b079-7e3d754a1bc8\" style=\"height: 400px; width: 600px;\" class=\"plotly-graph-div\"></div><script type=\"text/javascript\">require([\"plotly\"], function(Plotly) { window.PLOTLYENV=window.PLOTLYENV || {};window.PLOTLYENV.BASE_URL=\"https://plot.ly\";Plotly.newPlot(\"ec91f3af-ca07-4bcd-b079-7e3d754a1bc8\", [{\"type\": \"bar\", \"marker\": {\"color\": \"red\"}, \"x\": [\"bose\", \"condensation\"], \"hoverinfo\": \"value\", \"name\": \"down\", \"y\": [-0.0073, -0.0034], \"opacity\": 1.0}, {\"type\": \"bar\", \"marker\": {\"color\": \"red\"}, \"x\": [\"fermi\", \"superconductor\", \"dot\", \"metamaterial\", \"qubit\", \"dipole\", \"semiconductor\", \"laser\", \"hall\", \"graphene\", \"simulation\", \"topological\"], \"hoverinfo\": \"value\", \"name\": \"up\", \"y\": [0.0018, 0.0033, 0.0036, 0.0057, 0.0105, 0.0195, 0.0373, 0.0519, 0.0625, 0.0643, 0.0775, 0.1299], \"opacity\": 1.0}], {\"showlegend\": false, \"xaxis\": {\"tickangle\": -40}, \"width\": 600, \"height\": 400, \"margin\": {\"t\": 30}}, {\"showLink\": false, \"linkText\": \"Export to plot.ly\"})});</script>"
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      "text/vnd.plotly.v1+html": [
       "<div id=\"ec91f3af-ca07-4bcd-b079-7e3d754a1bc8\" style=\"height: 400px; width: 600px;\" class=\"plotly-graph-div\"></div><script type=\"text/javascript\">require([\"plotly\"], function(Plotly) { window.PLOTLYENV=window.PLOTLYENV || {};window.PLOTLYENV.BASE_URL=\"https://plot.ly\";Plotly.newPlot(\"ec91f3af-ca07-4bcd-b079-7e3d754a1bc8\", [{\"type\": \"bar\", \"marker\": {\"color\": \"red\"}, \"x\": [\"bose\", \"condensation\"], \"hoverinfo\": \"value\", \"name\": \"down\", \"y\": [-0.0073, -0.0034], \"opacity\": 1.0}, {\"type\": \"bar\", \"marker\": {\"color\": \"red\"}, \"x\": [\"fermi\", \"superconductor\", \"dot\", \"metamaterial\", \"qubit\", \"dipole\", \"semiconductor\", \"laser\", \"hall\", \"graphene\", \"simulation\", \"topological\"], \"hoverinfo\": \"value\", \"name\": \"up\", \"y\": [0.0018, 0.0033, 0.0036, 0.0057, 0.0105, 0.0195, 0.0373, 0.0519, 0.0625, 0.0643, 0.0775, 0.1299], \"opacity\": 1.0}], {\"showlegend\": false, \"xaxis\": {\"tickangle\": -40}, \"width\": 600, \"height\": 400, \"margin\": {\"t\": 30}}, {\"showLink\": false, \"linkText\": \"Export to plot.ly\"})});</script>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "keys_evo(section, 10, 17)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
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PMxL/A+DZVXVVVW0ZdcyujHCPV+vp44Tnk3e3z0kauS3/bhMeNXHbY6aoFkmSJElST01Z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8ybT2k9szVwgu0P9S7KzpJ0MPBVSkGe9wH/PjhhlyTKDpQTKclhVhIaZCruTojJTdJHgWOAs2y/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\nEREREdFQSeojIiIiIiIiGur/A6ZEvNiL0Zx3AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x132239e48>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 389,
       "width": 506
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "keys_subsections_occur(section, year, keys)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.plotly.v1+json": {
       "data": [
        {
         "hoverinfo": "text",
         "marker": {
          "color": "red",
          "opacity": 0.5,
          "size": 6.5
         },
         "mode": "markers",
         "text": [
          "word: single_qubit<br>origin: qubit<br>dist: 0.746",
          "word: gate_operation<br>origin: qubit<br>dist: 0.664",
          "word: transmon<br>origin: qubit<br>dist: 0.647",
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       "| Topic title | Articles |\n",
       "| --- | --- |\n",
       "| simulation, water | [1708.05370](https://arxiv.org/pdf/1708.05370.pdf)&nbsp;&nbsp;&nbsp;&nbsp;[1710.03325](https://arxiv.org/pdf/1710.03325.pdf)&nbsp;&nbsp;&nbsp;&nbsp;[1709.04563](https://arxiv.org/pdf/1709.04563.pdf)&nbsp;&nbsp;&nbsp;&nbsp;[1703.08523](https://arxiv.org/pdf/1703.08523.pdf)&nbsp;&nbsp;&nbsp;&nbsp;[1703.07835](https://arxiv.org/pdf/1703.07835.pdf)&nbsp;&nbsp;&nbsp;&nbsp; |\n",
       "| magnetic, sample | [1703.08626](https://arxiv.org/pdf/1703.08626.pdf)&nbsp;&nbsp;&nbsp;&nbsp;[1712.01761](https://arxiv.org/pdf/1712.01761.pdf)&nbsp;&nbsp;&nbsp;&nbsp;[1701.03258](https://arxiv.org/pdf/1701.03258.pdf)&nbsp;&nbsp;&nbsp;&nbsp;[1708.02257](https://arxiv.org/pdf/1708.02257.pdf)&nbsp;&nbsp;&nbsp;&nbsp;[1705.04017](https://arxiv.org/pdf/1705.04017.pdf)&nbsp;&nbsp;&nbsp;&nbsp; |\n",
       "| operator, hamiltonian | [1707.06123](https://arxiv.org/pdf/1707.06123.pdf)&nbsp;&nbsp;&nbsp;&nbsp;[1704.01943](https://arxiv.org/pdf/1704.01943.pdf)&nbsp;&nbsp;&nbsp;&nbsp;[1706.06574](https://arxiv.org/pdf/1706.06574.pdf)&nbsp;&nbsp;&nbsp;&nbsp;[1710.01830](https://arxiv.org/pdf/1710.01830.pdf)&nbsp;&nbsp;&nbsp;&nbsp;[1703.01113](https://arxiv.org/pdf/1703.01113.pdf)&nbsp;&nbsp;&nbsp;&nbsp; |\n",
       "| gap, superconducting | [1712.03625](https://arxiv.org/pdf/1712.03625.pdf)&nbsp;&nbsp;&nbsp;&nbsp;[1703.03189](https://arxiv.org/pdf/1703.03189.pdf)&nbsp;&nbsp;&nbsp;&nbsp;[1702.03686](https://arxiv.org/pdf/1702.03686.pdf)&nbsp;&nbsp;&nbsp;&nbsp;[1701.03584](https://arxiv.org/pdf/1701.03584.pdf)&nbsp;&nbsp;&nbsp;&nbsp;[1703.05259](https://arxiv.org/pdf/1703.05259.pdf)&nbsp;&nbsp;&nbsp;&nbsp; |\n",
       "| particle, distribution | [1708.05370](https://arxiv.org/pdf/1708.05370.pdf)&nbsp;&nbsp;&nbsp;&nbsp;[1707.05220](https://arxiv.org/pdf/1707.05220.pdf)&nbsp;&nbsp;&nbsp;&nbsp;[1701.08752](https://arxiv.org/pdf/1701.08752.pdf)&nbsp;&nbsp;&nbsp;&nbsp;[1705.07670](https://arxiv.org/pdf/1705.07670.pdf)&nbsp;&nbsp;&nbsp;&nbsp;[1702.01061](https://arxiv.org/pdf/1702.01061.pdf)&nbsp;&nbsp;&nbsp;&nbsp; |\n",
       "| phonon, mode | [1701.02770](https://arxiv.org/pdf/1701.02770.pdf)&nbsp;&nbsp;&nbsp;&nbsp;[1704.08069](https://arxiv.org/pdf/1704.08069.pdf)&nbsp;&nbsp;&nbsp;&nbsp;[1704.03792](https://arxiv.org/pdf/1704.03792.pdf)&nbsp;&nbsp;&nbsp;&nbsp;[1709.01876](https://arxiv.org/pdf/1709.01876.pdf)&nbsp;&nbsp;&nbsp;&nbsp;[1705.01816](https://arxiv.org/pdf/1705.01816.pdf)&nbsp;&nbsp;&nbsp;&nbsp; |\n",
       "| device, sample | [1708.06864](https://arxiv.org/pdf/1708.06864.pdf)&nbsp;&nbsp;&nbsp;&nbsp;[1701.06633](https://arxiv.org/pdf/1701.06633.pdf)&nbsp;&nbsp;&nbsp;&nbsp;[1703.09957](https://arxiv.org/pdf/1703.09957.pdf)&nbsp;&nbsp;&nbsp;&nbsp;[1706.02318](https://arxiv.org/pdf/1706.02318.pdf)&nbsp;&nbsp;&nbsp;&nbsp;[1701.02727](https://arxiv.org/pdf/1701.02727.pdf)&nbsp;&nbsp;&nbsp;&nbsp; |\n",
       "| particle, molecule | [1708.05370](https://arxiv.org/pdf/1708.05370.pdf)&nbsp;&nbsp;&nbsp;&nbsp;[1701.08752](https://arxiv.org/pdf/1701.08752.pdf)&nbsp;&nbsp;&nbsp;&nbsp;[1708.02508](https://arxiv.org/pdf/1708.02508.pdf)&nbsp;&nbsp;&nbsp;&nbsp;[1705.06308](https://arxiv.org/pdf/1705.06308.pdf)&nbsp;&nbsp;&nbsp;&nbsp;[1707.05220](https://arxiv.org/pdf/1707.05220.pdf)&nbsp;&nbsp;&nbsp;&nbsp; |\n",
       "| network, distribution | [1710.01830](https://arxiv.org/pdf/1710.01830.pdf)&nbsp;&nbsp;&nbsp;&nbsp;[1704.03526](https://arxiv.org/pdf/1704.03526.pdf)&nbsp;&nbsp;&nbsp;&nbsp;[1708.06810](https://arxiv.org/pdf/1708.06810.pdf)&nbsp;&nbsp;&nbsp;&nbsp;[1706.02356](https://arxiv.org/pdf/1706.02356.pdf)&nbsp;&nbsp;&nbsp;&nbsp;[1705.07447](https://arxiv.org/pdf/1705.07447.pdf)&nbsp;&nbsp;&nbsp;&nbsp; |\n",
       "| atom, ground_state | [1708.05370](https://arxiv.org/pdf/1708.05370.pdf)&nbsp;&nbsp;&nbsp;&nbsp;[1710.06340](https://arxiv.org/pdf/1710.06340.pdf)&nbsp;&nbsp;&nbsp;&nbsp;[1711.09969](https://arxiv.org/pdf/1711.09969.pdf)&nbsp;&nbsp;&nbsp;&nbsp;[1709.07408](https://arxiv.org/pdf/1709.07408.pdf)&nbsp;&nbsp;&nbsp;&nbsp;[1706.06574](https://arxiv.org/pdf/1706.06574.pdf)&nbsp;&nbsp;&nbsp;&nbsp; |\n",
       "| hamiltonian, bath | [1704.01180](https://arxiv.org/pdf/1704.01180.pdf)&nbsp;&nbsp;&nbsp;&nbsp;[1710.01830](https://arxiv.org/pdf/1710.01830.pdf)&nbsp;&nbsp;&nbsp;&nbsp;[1706.04571](https://arxiv.org/pdf/1706.04571.pdf)&nbsp;&nbsp;&nbsp;&nbsp;[1703.01113](https://arxiv.org/pdf/1703.01113.pdf)&nbsp;&nbsp;&nbsp;&nbsp;[1704.01536](https://arxiv.org/pdf/1704.01536.pdf)&nbsp;&nbsp;&nbsp;&nbsp; |\n",
       "| pulse, qubit | [1711.05913](https://arxiv.org/pdf/1711.05913.pdf)&nbsp;&nbsp;&nbsp;&nbsp;[1706.06688](https://arxiv.org/pdf/1706.06688.pdf)&nbsp;&nbsp;&nbsp;&nbsp;[1711.01658](https://arxiv.org/pdf/1711.01658.pdf)&nbsp;&nbsp;&nbsp;&nbsp;[1703.06077](https://arxiv.org/pdf/1703.06077.pdf)&nbsp;&nbsp;&nbsp;&nbsp;[1711.07665](https://arxiv.org/pdf/1711.07665.pdf)&nbsp;&nbsp;&nbsp;&nbsp; |\n",
       "| graphene, atom | [1705.01429](https://arxiv.org/pdf/1705.01429.pdf)&nbsp;&nbsp;&nbsp;&nbsp;[1704.06875](https://arxiv.org/pdf/1704.06875.pdf)&nbsp;&nbsp;&nbsp;&nbsp;[1706.00422](https://arxiv.org/pdf/1706.00422.pdf)&nbsp;&nbsp;&nbsp;&nbsp;[1709.04540](https://arxiv.org/pdf/1709.04540.pdf)&nbsp;&nbsp;&nbsp;&nbsp;[1712.02482](https://arxiv.org/pdf/1712.02482.pdf)&nbsp;&nbsp;&nbsp;&nbsp; |\n",
       "| band, topological | [1706.08206](https://arxiv.org/pdf/1706.08206.pdf)&nbsp;&nbsp;&nbsp;&nbsp;[1703.05259](https://arxiv.org/pdf/1703.05259.pdf)&nbsp;&nbsp;&nbsp;&nbsp;[1703.05658](https://arxiv.org/pdf/1703.05658.pdf)&nbsp;&nbsp;&nbsp;&nbsp;[1712.03982](https://arxiv.org/pdf/1712.03982.pdf)&nbsp;&nbsp;&nbsp;&nbsp;[1701.03584](https://arxiv.org/pdf/1701.03584.pdf)&nbsp;&nbsp;&nbsp;&nbsp; |\n",
       "| vortex, skyrmion | [1704.06926](https://arxiv.org/pdf/1704.06926.pdf)&nbsp;&nbsp;&nbsp;&nbsp;[1701.02430](https://arxiv.org/pdf/1701.02430.pdf)&nbsp;&nbsp;&nbsp;&nbsp;[1703.08626](https://arxiv.org/pdf/1703.08626.pdf)&nbsp;&nbsp;&nbsp;&nbsp;[1706.01617](https://arxiv.org/pdf/1706.01617.pdf)&nbsp;&nbsp;&nbsp;&nbsp;[1708.01526](https://arxiv.org/pdf/1708.01526.pdf)&nbsp;&nbsp;&nbsp;&nbsp; |\n"
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       "\n",
       "| <center>Author(s)<center> | <center>Year<center> | <center>Ref. count<center> |\n",
       "| --- | --- | --- |\n",
       "|<center>J. P. Perdew, K. Burke, M. Ernzerhof</center>|<center>1996</center>|<center>122</center>|\n",
       "|<center>M. Z. Hasan, C. L. Kane</center>|<center>2010</center>|<center>108</center>|\n",
       "|<center>G. Kresse, J. Furthm</center>|<center>1996</center>|<center>106</center>|\n",
       "|<center>P. E. Bl</center>|<center>1994</center>|<center>89</center>|\n",
       "|<center>G. Kresse, D. Joubert</center>|<center>1999</center>|<center>76</center>|\n",
       "|<center>C. L. Kane, E. J. Mele</center>|<center>2005</center>|<center>73</center>|\n",
       "|<center>L. Qi, C. Zhang</center>|<center>2011</center>|<center>70</center>|\n",
       "|<center>A. Kitaev</center>|<center>2006</center>|<center>53</center>|\n",
       "|<center>P. Hohenberg, W. Kohn</center>|<center>1964</center>|<center>52</center>|\n",
       "|<center>L. J. Sham, W. Kohn</center>|<center>1965</center>|<center>51</center>|\n",
       "|<center>P. W. Anderson</center>|<center>1958</center>|<center>50</center>|\n",
       "|<center>F. D. M, M. Haldane</center>|<center>1988</center>|<center>49</center>|\n",
       "|<center>L. Balents</center>|<center>2010</center>|<center>48</center>|\n",
       "|<center>I. Bloch, J. Dalibard, W. Zwerger</center>|<center>2008</center>|<center>48</center>|\n",
       "|<center>A. Y. Kitaev</center>|<center>2001</center>|<center>46</center>|\n"
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