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Few observations obtained from the Matrix equation are as follows, Each iteration involves one vector matrix multiplication, which requires O(n2) computation and n is the size of square matrix H. H is a very sparse matrix including many 0s. It requires minimal storage and matrix multiplications involving sparse matrices requires O(nnz(H)) computation, where nnz(H) is the number of non zeros in H. The iterative process is a simple linear stationary process. It is the classical power method applied to H. H looks like a stochastic transition probability matrix for a Markov chain. The dangling nodes in a network create the zero rows in the matrix.PDF Image | Study of Page Rank Algorithms
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