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Question: Open the 'Small Worlds' model in NetLogo in the 'Networks' folder and set the num-nodes slider to 100. Use the 'BehaviorSpace' to vary the 'rewiring-probability' from 0.0001 to 1 in increments of 0.0001, capturing the final value of the 'average-path-length' and the 'clusteringcoefficient' for each run. Use only a single repeHHon for each value of 'rewiring-probability'. 1. Using the results, make one graph with two lines - showing both of these variables (on the y-axis) as a funcHon of the rewiring probability (on the x-axis). 2. Using the same results, change the graph so that: 1) it is in semi-log form, with the x-axis showing the logged values of the rewiring probability, and 2) normalize the values for average path length (APL) and clustering coefficient (CC) by APL(0.0001) and CC(0.0001). That is, normalize by their respecHve value at rewiring-probability of 0.0001. See Figure 2 of the WaTs and Strogatz - the paper you should have also downloaded with this file - for an example of what I am asking. 3. How do the curves in your second graph compare to those in Figure 2 of the WaTs and Strogatz paper? Think about things like general shape, range of values. If there are any differences, why do you think this is the case?
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