Consider the following example of a standard fully-connected Multilayer Perceptron (MLP), a type of artificial neural network. It has an input layer, a single hidden layer, and an output layer. In this architecture, neurons in one layer are connected to all neurons in the immediately following layer, but there are no connections within a layer or connections that skip layers. Here, the input and output layers have 5 neurons each, while the hidden layer has 10 neurons. Based on this description, would you expect the degree correlation coefficient, \(r\), to be:
a) undefined
b) \(r > 0\)
c) \(r < 0\)
d) \(r = 0\)
e) None of the above
Original idea by: Eduardo Bouhid
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