1 files changed, 51 insertions, 29 deletions

diff --git a/Metrics/Metrics-Calculation/metrics_plot/model_evolve_comparison/src/representative_selector .ipynb b/Metrics/Metrics-Calculation/metrics_plot/model_evolve_comparison/src/representative_selector .ipynb
index 9653b2a0..78f408fc 100644
--- a/Metrics/Metrics-Calculation/metrics_plot/model_evolve_comparison/src/representative_selector .ipynb
+++ b/Metrics/Metrics-Calculation/metrics_plot/model_evolve_comparison/src/representative_selector .ipynb
@@ -63,16 +63,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "1253"
+       "304"
       ]
      },
-     "execution_count": 4,
+     "execution_count": 3,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -90,7 +90,7 @@
     ")\n",
     "\n",
     "\n",
-    "humanFiles = reader.readmultiplefiles('../input/humanOutput/', 1300, False)\n",
+    "humanFiles = reader.readmultiplefiles('../input/human_output_100/', 1300, False)\n",
     "modelToFileName = {}\n",
     "for name in humanFiles:\n",
     "    modelToFileName[GraphStat(name)] = name\n",
@@ -115,7 +115,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -144,21 +144,26 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
+    "#### For all human models\n",
     "* the rep found is ../input/humanOutput\\R_20158_run_1.csv\n",
-    "* the average distance between it and others is 0.05515988287586802"
+    "* the average distance between it and others is 0.05515988287586802\n",
+    "\n",
+    "#### For human models with $100 \\pm 10$ nodes\n",
+    "* the rep found is ../input/human_output_100\\R_2015225_run_1.csv\n",
+    "* the average distance between it and others is $0.046150929558524685$"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "../input/humanOutput\\R_20158_run_1.csv\n",
-      "../input/humanOutput\\R_20158_run_1.csv\n"
+      "../input/human_output_100\\R_2015225_run_1.csv\n",
+      "../input/human_output_100\\R_2015225_run_1.csv\n"
      ]
     }
    ],
@@ -171,14 +176,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "0.05515988287586802\n"
+      "0.046150929558524685\n"
      ]
     }
    ],
@@ -201,41 +206,46 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
+    "#### For all human models\n",
     "* the rep found is ../input/humanOutput\\R_2016176_run_1.csv\n",
-    "* the average distance between it and others is 0.05275267434589047"
+    "* the average distance between it and others is 0.05275267434589047\n",
+    "\n",
+    "#### For human models with $100 \\pm 10$ nodes\n",
+    "* the rep found is ../input/human_output_100\\R_2017419_run_1.csv\n",
+    "* the average distance between it and others is $0.04679429311806747$"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 13,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "../input/humanOutput\\R_2016176_run_1.csv\n",
-      "../input/humanOutput\\R_2016176_run_1.csv\n"
+      "../input/human_output_100\\R_2017419_run_1.csv\n",
+      "../input/human_output_100\\R_2017419_run_1.csv\n"
      ]
     }
    ],
    "source": [
-    "total_distance = 0\n",
-    "for model in models:\n",
-    "    total_distance += ks_value(od_rep_model.mpc, model.mpc)\n",
-    "print(total_distance / len(models))"
+    "na_rep_index = findRep(models, lambda m: m.na)\n",
+    "print(list(modelToFileName.values())[na_rep_index])\n",
+    "na_rep_model = models[na_rep_index]\n",
+    "print(modelToFileName[na_rep_model])\n"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 14,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "0.05275267434589047\n"
+      "0.04679429311806747\n"
      ]
     }
    ],
@@ -243,7 +253,7 @@
     "total_distance = 0\n",
     "count = 0\n",
     "for model in models:\n",
-    "    total_distance += ks_value(od_rep_model.na, model.na)\n",
+    "    total_distance += ks_value(na_rep_model.na, model.na)\n",
     "print(total_distance / len(models))"
    ]
   },
@@ -258,21 +268,26 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
+    "#### For all human models\n",
     "* the rep found is ../input/humanOutput\\R_2015246_run_1.csv\n",
-    "* the average distance between it and others is 0.08556632702185384"
+    "* the average distance between it and others is 0.08556632702185384\n",
+    "\n",
+    "#### For human models with $100 \\pm 10$ nodes\n",
+    "* the rep found is ../input/human_output_100\\R_2016324_run_1.csv\n",
+    "* the average distance between it and others is $0.07028909225833631$"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 16,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "../input/humanOutput\\R_2015246_run_1.csv\n",
-      "../input/humanOutput\\R_2015246_run_1.csv\n"
+      "../input/human_output_100\\R_2016324_run_1.csv\n",
+      "../input/human_output_100\\R_2016324_run_1.csv\n"
      ]
     }
    ],
@@ -285,14 +300,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": 18,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "0.08556632702185384\n"
+      "0.07028909225833631\n"
      ]
     }
    ],
@@ -300,7 +315,7 @@
     "total_distance = 0\n",
     "count = 0\n",
     "for model in models:\n",
-    "    total_distance += ks_value(od_rep_model.mpc, model.mpc)\n",
+    "    total_distance += ks_value(mpc_rep_model.mpc, model.mpc)\n",
     "print(total_distance / len(models))"
    ]
   },
@@ -310,6 +325,13 @@
    "metadata": {},
    "outputs": [],
    "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {