  In this paper, the approach of network mapping of words in literary texts is
extended to ''textual factors'': the network nodes are defined as ''concepts'';
the links are ''community connexions''. Thereafter, the text network properties
are investigated along modern statistical physics approaches of networks,
thereby relating network topology and algebraic properties, to literary texts
contents. As a practical illustration, the first chapter of the Genesis in the
Bible is mapped into a 10 node network, as in the Kabbalah approach, mentioning
God ($\equiv Elohim$). The characteristics of the network are studied starting
from its adjacency matrix, and the corresponding Laplacian matrix. Triplets of
nodes are particularly examined in order to emphasize the ''textual (community)
connexions'' of each agent "emanation", through the so called clustering
coefficients and the overlap index, whence measuring the ''semantic flow''
between the different nodes. It is concluded that this graph is a small-world
network, weakly dis-assortative, because its average local clustering
coefficient is significantly higher than a random graph constructed on the same
vertex set.
