fixed minor mistake

Author: Nathaniel-Rodriguez

week15-information_diffusion/threshold_model_assignment.ipynb

@@ -277,7 +277,7 @@
     "1. Pick a real-world graph and load it into networkx.\n",
     "2. Explore the parameters of the model using just the real-world graph. Find a range of means and standard deviations that captures the full range of dynamics the model has on the network. In general it is best to start with a wide range of values and then hone in on regions of interest. Though you only have to vary one parameter at a time, matplotlib also has a [contour](http://matplotlib.org/api/pyplot_api.html?highlight=contour#matplotlib.pyplot.contour) function that will let you vary both simultaneously while plotting the equilibrium points along a z-axis. You can do this if you are feeling adventurous (though I recommend googling a tutorial first since it works differently than a normal plot function). If making a contour is too difficult, but you want to see how one parameters varies as another does, you can always make overlapping plots, similar to what I have made above but using different parameter values for each plot.\n",
     "3. Once you have a good grasp on where the action is, compare your real graph with a configuration model and a comparable ER graph like I do above. Use the intuition you built up in step 2 for picking values of the mean to hold constant at, as different means can place you in different dynamical regimes resulting in very different behavior.\n",
-    "4. Provide a written summary of what you found in steps 2 and 4 in a markdown section in your notebook. Make note of any interesting spreading behavior your graph has and try to explain it if you can. Describe any similarities or differences between the real graph and the random graphs and consider why those similarities or differences exist.\n",
+    "4. Provide a written summary of what you found in steps 2 and 3 in a markdown section in your notebook. Make note of any interesting spreading behavior your graph has and try to explain it if you can. Describe any similarities or differences between the real graph and the random graphs and consider why those similarities or differences exist.\n",
     "5. Submit your completed notebook to Canvas when you are complete."
    ]
   },