1 files changed, 710 insertions, 65 deletions

diff --git a/Metrics/Metrics-Calculation/metrics_plot/model_evolve_comparison/src/metrics_distance_with_selector.ipynb b/Metrics/Metrics-Calculation/metrics_plot/model_evolve_comparison/src/metrics_distance_with_selector.ipynb
index 4c7fecb3..000822bf 100644
--- a/Metrics/Metrics-Calculation/metrics_plot/model_evolve_comparison/src/metrics_distance_with_selector.ipynb
+++ b/Metrics/Metrics-Calculation/metrics_plot/model_evolve_comparison/src/metrics_distance_with_selector.ipynb
@@ -16,7 +16,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -51,7 +51,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -81,7 +81,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -111,7 +111,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 38,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -144,7 +144,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -154,7 +154,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -168,7 +168,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -182,7 +182,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -198,7 +198,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 43,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -214,7 +214,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 33,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -248,7 +248,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 42,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -272,7 +272,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 12,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -283,7 +283,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 46,
+   "execution_count": 13,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -297,18 +297,18 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 77,
+   "execution_count": 14,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "9519be563fbc41c28921c77ef6481b17",
+       "model_id": "a8471e4dd66a47ecb6abb2371be43321",
        "version_major": 2,
        "version_minor": 0
       },
       "text/plain": [
-       "interactive(children=(SelectMultiple(description='Trajectory:', options={}, value=()), Output()), _dom_classes…"
+       "interactive(children=(SelectMultiple(description='Trajectory:', options={'../input/viatra_nocon_output/traject…"
       ]
      },
      "metadata": {},
@@ -320,7 +320,7 @@
        "<function __main__.plot_out_degree(lines)>"
       ]
      },
-     "execution_count": 77,
+     "execution_count": 14,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -333,18 +333,18 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 78,
+   "execution_count": 15,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "c896725e542c4bf8a1bc76ba66819b20",
+       "model_id": "ad6e466cc3fe44d393d2c82d48244d83",
        "version_major": 2,
        "version_minor": 0
       },
       "text/plain": [
-       "interactive(children=(SelectMultiple(description='Trajectory:', options={}, value=()), Output()), _dom_classes…"
+       "interactive(children=(SelectMultiple(description='Trajectory:', options={'../input/viatra_nocon_output/traject…"
       ]
      },
      "metadata": {},
@@ -356,7 +356,7 @@
        "<function __main__.plot_out_na(lines)>"
       ]
      },
-     "execution_count": 78,
+     "execution_count": 15,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -369,18 +369,18 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 79,
+   "execution_count": 16,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "880410d675624545ab73977a463bb5c9",
+       "model_id": "d88ebc8e4062473a96ac35fe800028ef",
        "version_major": 2,
        "version_minor": 0
       },
       "text/plain": [
-       "interactive(children=(SelectMultiple(description='Trajectory:', options={}, value=()), Output()), _dom_classes…"
+       "interactive(children=(SelectMultiple(description='Trajectory:', options={'../input/viatra_nocon_output/traject…"
       ]
      },
      "metadata": {},
@@ -392,7 +392,7 @@
        "<function __main__.plot_out_mpc(lines)>"
       ]
      },
-     "execution_count": 79,
+     "execution_count": 16,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -412,7 +412,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 50,
+   "execution_count": 17,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -427,13 +427,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 51,
+   "execution_count": 18,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "0d04d6db770a49f4a160ff55cc7131f6",
+       "model_id": "1eb2ba5848a048389bca8d804fc8340a",
        "version_major": 2,
        "version_minor": 0
       },
@@ -450,7 +450,7 @@
        "<function __main__.plot_out_degree(lines)>"
       ]
      },
-     "execution_count": 51,
+     "execution_count": 18,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -463,13 +463,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 52,
+   "execution_count": 19,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "96eebad1f6274d79ad377c8c54b44615",
+       "model_id": "6e5840f7a5ad4515bce9080088b644f2",
        "version_major": 2,
        "version_minor": 0
       },
@@ -486,7 +486,7 @@
        "<function __main__.plot_na(lines)>"
       ]
      },
-     "execution_count": 52,
+     "execution_count": 19,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -499,13 +499,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 53,
+   "execution_count": 20,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "4fc2714a3cd3440daf5014bb4b942b9a",
+       "model_id": "9e30f267b092491ba1ffe8f83c5f68ce",
        "version_major": 2,
        "version_minor": 0
       },
@@ -522,7 +522,7 @@
        "<function __main__.plot_mpc(lines)>"
       ]
      },
-     "execution_count": 53,
+     "execution_count": 20,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -542,7 +542,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 59,
+   "execution_count": 21,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -557,13 +557,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 60,
+   "execution_count": 22,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "4401931533b5497f864f146d7b4dcd3c",
+       "model_id": "cc1f64c92e814c32a81cd5ec5d4e50dc",
        "version_major": 2,
        "version_minor": 0
       },
@@ -580,7 +580,7 @@
        "<function __main__.plot_out_degree(lines)>"
       ]
      },
-     "execution_count": 60,
+     "execution_count": 22,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -593,13 +593,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 61,
+   "execution_count": 23,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "fb7bdedff841420bb8f817013f565020",
+       "model_id": "75021f4f68db4a809ce7c86c0d25ef1b",
        "version_major": 2,
        "version_minor": 0
       },
@@ -616,7 +616,7 @@
        "<function __main__.plot_node_activity(lines)>"
       ]
      },
-     "execution_count": 61,
+     "execution_count": 23,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -629,13 +629,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 62,
+   "execution_count": 24,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "6b0c349c4a3b4813825513f739ea30da",
+       "model_id": "86f5c376905a4759a7b44ad52804424d",
        "version_major": 2,
        "version_minor": 0
       },
@@ -652,7 +652,7 @@
        "<function __main__.plot_mpc(lines)>"
       ]
      },
-     "execution_count": 62,
+     "execution_count": 24,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -672,7 +672,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 67,
+   "execution_count": 25,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -687,13 +687,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 74,
+   "execution_count": 26,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "b76901ba9d44433984032e0dc5679fa9",
+       "model_id": "57ba4d8443c145ad845fb862e3ef7519",
        "version_major": 2,
        "version_minor": 0
       },
@@ -710,7 +710,7 @@
        "<function __main__.plot_out_degree(lines)>"
       ]
      },
-     "execution_count": 74,
+     "execution_count": 26,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -723,13 +723,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 75,
+   "execution_count": 27,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "9e0d61e29b02467cb52618860a1bde7f",
+       "model_id": "c020ecb466c14f3ca1bfc0fd2fe03b7b",
        "version_major": 2,
        "version_minor": 0
       },
@@ -746,7 +746,7 @@
        "<function __main__.plot_na(lines)>"
       ]
      },
-     "execution_count": 75,
+     "execution_count": 27,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -759,13 +759,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 76,
+   "execution_count": 28,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "70074805fee44a1aa5b9ccb3770b5c0c",
+       "model_id": "2165668057fd47ad92459e749ec68bad",
        "version_major": 2,
        "version_minor": 0
       },
@@ -782,7 +782,7 @@
        "<function __main__.plot_mpc(lines)>"
       ]
      },
-     "execution_count": 76,
+     "execution_count": 28,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -802,7 +802,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 80,
+   "execution_count": 29,
    "metadata": {},
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    "source": [
@@ -817,13 +817,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 82,
+   "execution_count": 30,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "912ba2fdfd7c46848065f174aa6177e0",
+       "model_id": "907d7824033b4dfe980c391db0da63eb",
        "version_major": 2,
        "version_minor": 0
       },
@@ -840,7 +840,7 @@
        "<function __main__.plot_out_degree(lines)>"
       ]
      },
-     "execution_count": 82,
+     "execution_count": 30,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -853,13 +853,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 83,
+   "execution_count": 31,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "0ba621dd0e7d4957aaff2cf209bba165",
+       "model_id": "08a32c21d0b64217a556715caa8db7b5",
        "version_major": 2,
        "version_minor": 0
       },
@@ -876,7 +876,7 @@
        "<function __main__.plot_na(lines)>"
       ]
      },
-     "execution_count": 83,
+     "execution_count": 31,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -889,13 +889,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 84,
+   "execution_count": 32,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "d432bbae1c6f48c3acd1767f2e2b13c7",
+       "model_id": "9dad041ff05d46ce969cfacb07c2ba98",
        "version_major": 2,
        "version_minor": 0
       },
@@ -912,7 +912,7 @@
        "<function __main__.plot_mpc(lines)>"
       ]
      },
-     "execution_count": 84,
+     "execution_count": 32,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -924,6 +924,651 @@
    ]
   },
   {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Controlled Viatra with Out Degree"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 33,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "con_viatra_stats = readStats('../input/controlled_viatra_out_degree/',10000)\n",
+    "con_viatra_dic = calDistanceDic(con_viatra_stats, human_rep)\n",
+    "\n",
+    "# trajectories and colors\n",
+    "trajectories = {}\n",
+    "w = createSelectionWidge(trajectories)\n",
+    "colors = createRandomColors(len(trajectories))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 34,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "cd77560284d9419daec57192a64b75ec",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "interactive(children=(SelectMultiple(description='Trajectory:', options={}, value=()), Output()), _dom_classes…"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/plain": [
+       "<function __main__.plot_out_degree(lines)>"
+      ]
+     },
+     "execution_count": 34,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "def plot_out_degree(lines):\n",
+    "    plot(con_viatra_dic, lines, 0, lambda a: a.out_d_distance, colors, 'out_degree', '../output/controled_viatra_with_out_degree/')\n",
+    "interact(plot_out_degree, lines=w)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 35,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "ab11afebf7674cebae8d7318c661cf3c",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "interactive(children=(SelectMultiple(description='Trajectory:', options={}, value=()), Output()), _dom_classes…"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/plain": [
+       "<function __main__.plot_na(lines)>"
+      ]
+     },
+     "execution_count": 35,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "def plot_na(lines):\n",
+    "    plot(con_viatra_dic, lines, 0, lambda a: a.na_distance, colors, 'Node Activity', '../output/controled_viatra_with_out_degree/')\n",
+    "interact(plot_na, lines=w)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 36,
+   "metadata": {
+    "scrolled": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "c20b42abcba646c18d7caa6eeb54c403",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "interactive(children=(SelectMultiple(description='Trajectory:', options={}, value=()), Output()), _dom_classes…"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/plain": [
+       "<function __main__.plot_mpc(lines)>"
+      ]
+     },
+     "execution_count": 36,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "def plot_mpc(lines):\n",
+    "    plot(con_viatra_dic, lines, 0, lambda a: a.mpc_distance, colors, 'mpc', '../output/controled_viatra_with_out_degree/')\n",
+    "interact(plot_mpc, lines=w)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Controlled Viatra with Node Activity"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 37,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "con_viatra_stats = readStats('../input/controlled_viatra_out_degree_node_activity/',20000)\n",
+    "con_viatra_dic = calDistanceDic(con_viatra_stats, human_rep)\n",
+    "\n",
+    "# trajectories and colors\n",
+    "trajectories = {}\n",
+    "w = createSelectionWidge(trajectories)\n",
+    "colors = createRandomColors(len(trajectories))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 38,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "902b580a11fa4c8db9d03508ad629067",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "interactive(children=(SelectMultiple(description='Trajectory:', options={}, value=()), Output()), _dom_classes…"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/plain": [
+       "<function __main__.plot_out_degree(lines)>"
+      ]
+     },
+     "execution_count": 38,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "def plot_out_degree(lines):\n",
+    "    plot(con_viatra_dic, lines, 0, lambda a: a.out_d_distance, colors, 'out_degree', '../output/controled_viatra_with_node_activity/')\n",
+    "interact(plot_out_degree, lines=w)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 39,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "851b567e745940288b577d9bd27e6f08",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "interactive(children=(SelectMultiple(description='Trajectory:', options={}, value=()), Output()), _dom_classes…"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/plain": [
+       "<function __main__.plot_na(lines)>"
+      ]
+     },
+     "execution_count": 39,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "def plot_na(lines):\n",
+    "    plot(con_viatra_dic, lines, 0, lambda a: a.na_distance, colors, 'Node Activity', '../output/controled_viatra_with_node_activity/')\n",
+    "interact(plot_na, lines=w)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 40,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "7de173291f394b10b5113e3312b7b2e1",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "interactive(children=(SelectMultiple(description='Trajectory:', options={}, value=()), Output()), _dom_classes…"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/plain": [
+       "<function __main__.plot_mpc(lines)>"
+      ]
+     },
+     "execution_count": 40,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "def plot_mpc(lines):\n",
+    "    plot(con_viatra_dic, lines, 0, lambda a: a.mpc_distance, colors, 'mpc', '../output/controled_viatra_with_node_activity/')\n",
+    "interact(plot_mpc, lines=w)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Random EMF With Normal(2,1)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 41,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "random_emf_stats = readStats('../input/random_emf_normal/',6000)\n",
+    "random_emf_dic = calDistanceDic(random_emf_stats, human_rep)\n",
+    "\n",
+    "# trajectories and colors\n",
+    "trajectories = {}\n",
+    "w = createSelectionWidge(trajectories)\n",
+    "colors = createRandomColors(len(trajectories))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 42,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "6b9ee873d9ca41649cf05f3b713d9142",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "interactive(children=(Dropdown(description='lines', options=([],), value=[]), Output()), _dom_classes=('widget…"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/plain": [
+       "<function __main__.plot_out_degree(lines)>"
+      ]
+     },
+     "execution_count": 42,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "def plot_out_degree(lines):\n",
+    "    plot(random_emf_dic, lines, 0, lambda a: a.out_d_distance, colors, 'out degree', '../output/random_emf_normal/')\n",
+    "interact(plot_out_degree, lines=[[]])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 43,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "88f258a0b0ac4417aba320beca7508cf",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "interactive(children=(Dropdown(description='lines', options=([],), value=[]), Output()), _dom_classes=('widget…"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/plain": [
+       "<function __main__.plot_node_activity(lines)>"
+      ]
+     },
+     "execution_count": 43,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "def plot_node_activity(lines):\n",
+    "    plot(random_emf_dic, lines, 0, lambda a: a.na_distance, colors, 'node activity', '../output/random_emf_normal/')\n",
+    "interact(plot_node_activity, lines=[[]])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 44,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "d71cf26018184ee6953c50b74908f52d",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "interactive(children=(Dropdown(description='lines', options=([],), value=[]), Output()), _dom_classes=('widget…"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/plain": [
+       "<function __main__.plot_mpc(lines)>"
+      ]
+     },
+     "execution_count": 44,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "def plot_mpc(lines):\n",
+    "    plot(random_emf_dic, lines, 0, lambda a: a.mpc_distance, colors, 'mpc', '../output/random_emf_normal/')\n",
+    "interact(plot_mpc, lines=[[]])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 45,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "con_viatra_stats = readStats('../input/controlled_viatra_all/',20000)\n",
+    "con_viatra_dic = calDistanceDic(con_viatra_stats, human_rep)\n",
+    "\n",
+    "# trajectories and colors\n",
+    "trajectories = {}\n",
+    "w = createSelectionWidge(trajectories)\n",
+    "colors = createRandomColors(len(trajectories))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 46,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "db15ac26aad84683b9da99fc54749850",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "interactive(children=(SelectMultiple(description='Trajectory:', options={}, value=()), Output()), _dom_classes…"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/plain": [
+       "<function __main__.plot_out_degree(lines)>"
+      ]
+     },
+     "execution_count": 46,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "def plot_out_degree(lines):\n",
+    "    plot(con_viatra_dic, lines, 0, lambda a: a.out_d_distance, colors, 'out_degree', '../output/controled_viatra_all/')\n",
+    "interact(plot_out_degree, lines=w)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 47,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "30bfaf8dd45d4b21b0b43afe5e9fdb8a",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "interactive(children=(SelectMultiple(description='Trajectory:', options={}, value=()), Output()), _dom_classes…"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/plain": [
+       "<function __main__.plot_na(lines)>"
+      ]
+     },
+     "execution_count": 47,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "def plot_na(lines):\n",
+    "    plot(con_viatra_dic, lines, 0, lambda a: a.na_distance, colors, 'Node Activity', '../output/controled_viatra_all/')\n",
+    "interact(plot_na, lines=w)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 48,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "5636d37b4416474db5441fe47e7a8a30",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "interactive(children=(SelectMultiple(description='Trajectory:', options={}, value=()), Output()), _dom_classes…"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/plain": [
+       "<function __main__.plot_mpc(lines)>"
+      ]
+     },
+     "execution_count": 48,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "def plot_mpc(lines):\n",
+    "    plot(con_viatra_dic, lines, 0, lambda a: a.mpc_distance, colors, 'mpc', '../output/controled_viatra_all/')\n",
+    "interact(plot_mpc, lines=w)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Viatra With Both metric and consistency"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 53,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "con_viatra_stats = readStats('../input/viatra_control_all_with_consistency_1/',20000)\n",
+    "con_viatra_dic = calDistanceDic(con_viatra_stats, human_rep)\n",
+    "\n",
+    "# trajectories and colors\n",
+    "trajectories = {}\n",
+    "w = createSelectionWidge(trajectories)\n",
+    "colors = createRandomColors(len(trajectories))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 54,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "e5c7231686544d959527cff36c1f1a5e",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "interactive(children=(SelectMultiple(description='Trajectory:', options={}, value=()), Output()), _dom_classes…"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/plain": [
+       "<function __main__.plot_out_degree(lines)>"
+      ]
+     },
+     "execution_count": 54,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "def plot_out_degree(lines):\n",
+    "    plot(con_viatra_dic, lines, 0, lambda a: a.out_d_distance, colors, 'out_degree', '../output/viatra_control_all_with_consistency_1/')\n",
+    "interact(plot_out_degree, lines=w)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 55,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "e043705333bb474e89582ea9358c57c3",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "interactive(children=(SelectMultiple(description='Trajectory:', options={}, value=()), Output()), _dom_classes…"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/plain": [
+       "<function __main__.plot_na(lines)>"
+      ]
+     },
+     "execution_count": 55,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "def plot_na(lines):\n",
+    "    plot(con_viatra_dic, lines, 0, lambda a: a.na_distance, colors, 'Node Activity', '../output/viatra_control_all_with_consistency_1/')\n",
+    "interact(plot_na, lines=w)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 56,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "ee4723b62293402e87e6a3f798019b36",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "interactive(children=(SelectMultiple(description='Trajectory:', options={}, value=()), Output()), _dom_classes…"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/plain": [
+       "<function __main__.plot_mpc(lines)>"
+      ]
+     },
+     "execution_count": 56,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "def plot_mpc(lines):\n",
+    "    plot(con_viatra_dic, lines, 0, lambda a: a.mpc_distance, colors, 'mpc', '../output/viatra_control_all_with_consistency_1/')\n",
+    "interact(plot_mpc, lines=w)"
+   ]
+  },
+  {
    "cell_type": "code",
    "execution_count": null,
    "metadata": {},