final presentation

Author: hildobby

results_presentation.ipynb

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-    "# Expanding on the Bak-Snappen model\n",
+    "# Expanding on the Bak-Sneppen model\n",
     "\n",
     " By Hildebert Moulié, Philippe Nicolau, Louis Weyland & Binjie Zhou\n",
     "\n",
@@ -73,9 +73,9 @@
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     "# Introduction\n",
     "\n",
-    "After having looked into the Bak-Snappen model, which is originally used on a one dimensional ring, we believed it to be very limited in its use. In order for it to be a better representation of reality, two dimensional and three dimensional versions of the model were coded using Python 3.8 with the _Networkx_ package.\n",
+    "After having looked into the Bak-Sneppen model, which is originally used on a one dimensional ring, we believed it to be very limited in its use. In order for it to be a better representation of reality, two dimensional and three dimensional versions of the model were coded using Python 3.8 with the _Networkx_ package.\n",
     "\n",
-    "We want to show that the avalanche times follow a power-law distribution, and observe the self-organising property."
+    "We want to show that a power-law distribution can be observed in the avalanche times, in the distances between consecutive mutations and the cluster sizes. Self-organising properties will also be shown."
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-<h1 id="Introduction">Introduction<a class="anchor-link" href="#Introduction">&#182;</a></h1><p>After having looked into the Bak-Snappen model, which is originally used on a one dimensional ring, we believed it to be very limited in its use. In order for it to be a better representation of reality, two dimensional and three dimensional versions of the model were coded using Python 3.8 with the <em>Networkx</em> package.</p>
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+<p>We want to show that a power-law distribution can be observed in the avalanche times, in the distances between consecutive mutations and the cluster sizes. Self-organising properties will also be shown.</p>
 
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