Related Work
Methods
To test this hypothesis, we collected natural networks and built out a series of artificial and random networks. To setup, build, run analysis on, and visualize the networks, a Python module named graph-tool was used, which allows for multi-core analysis.
// NAREN ANN BUILDING DESCRIPTION HERE
Similar to the ANNs, natural networks were imported into graph-tool using their edge lists. Random networks were generated using packages found within the graph-tool module.
Measured Metrics
Betweenness Centrality
Betweenness measures the centrality of a node on the metric of shortest paths. Essentially, it measures how many shortest paths for pairs of vertices pass through the measured node, essentially checking if a node is causing bottlenecking in a network. This metric is defined by the following equation: