When the adjacency matrix is normalized by dividing by the row sums, the largest eigenvalues becomes 1.0. Because Correspondence Analysis does this for symmetric matrices, the sum of the squared ...

Their adjacency takes them from mechanical to human telemetry. The idea behind a radical adjacency can be that simple - but executing even in close adjacencies is notoriously fraught with problems.