  A model based on first-degree family relations network is used to describe
the wealth distribution in societies. The network structure is not a-priori
introduced in the model, it is generated in parallel with the wealth values
through simple and realistic dynamical rules. The model has two main
parameters, governing the wealth exchange in the network. Choosing their values
realistically, leads to wealth distributions in good agreement with measured
data. The cumulative wealth distribution function has an exponential behavior
in the low and medium wealth limit, and shows the Pareto-like power-law tail
for the upper 5% of the society. The obtained Pareto indexes are in good
agreement with the measured ones. The generated family networks also converges
to a statistically stable topology with a simple Poissonian degree
distribution. On this family-network many interesting correlations are studied,
and the main factors leading to wealth-diversification and the formation of the
Pareto law are identified.
