Creating a Small World Graph
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Replotting the Data
In the graph below, we've rearranged the data so that clustering coefficient is plotted directly against path length. As alpha increases, the graph measures move from the upper right to the lower left corner of the graph (1). As you can see even more clearly here, there is a set of data points for which the characteristic path length has already fallen near the level of a random graph, but the clustering coefficient is still high, comparable to a caveman graph.
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