  On the basis of the experimental data concerning interactions between humans
the process of Ising-based model of opinion formation in a social network was
investigated. In the paper the data concerning human social activity, i.e.
frequency and duration time of interpersonal interactions as well as age
correlations - homophily are presented in comparison to base line homogeneous,
static and uniform mixing. It is known from previous studies that number of
contact and average age of nearest neighbors are highly correlated with age of
an individual. Such real, assortative patterns usually speed up processes (like
epidemic spread) on the networks, but here it only plays a role for small
social temperature values (by reducing `freezing by heating' effect). A real
structure of contacts affects processes in many various studies in different
way, however here it causes stronger (dynamic) and smoother (durations)
susceptibility on external field. Moreover, our research shows that the cross
interactions between contact frequency and its duration impose the significant
increase in critical temperature.
