The mathematics of morphogenesis, complex dynamical systems theory, is the basis of our strategies for visualizing the Web. Thus we view the Web as a neural net, that is, a massive web of neurons or nodes. While neurons are not dumb, connectionism views the intelligence of the network as primarily derived from its connections, as opposed to its nodes.

In the simple models for neural nets provided by the mathematics of complex dynamical systems, the connections are represented by real numbers. Given two nodes, n(i) and n(j), the connection from the first to the second is represented by a single real number, s(i, j), denoting the strength of the connection. All of this data, the s(i, j), for i, j from 1 to N, may be set out in a single tableau, which is a square matrix of size N, the total number of nodes. In this report we are going to use a small subweb, with N = 9, as an example.