  Understanding the dynamics of opinions, preferences and of culture as whole
requires more use of empirical data than has been done so far. It is clear that
an important role in driving this dynamics is played by social influence, which
is the essential ingredient of many quantitative models. Such models require
that all traits are fixed when specifying the "initial cultural state".
Typically, this initial state is randomly generated, from a uniform
distribution over the set of possible combinations of traits. However, recent
work has shown that the outcome of social influence dynamics strongly depends
on the nature of the initial state. If the latter is sampled from empirical
data instead of being generated in a uniformly random way, a higher level of
cultural diversity is found after long-term dynamics, for the same level of
propensity towards collective behavior in the short-term. Moreover, if the
initial state is randomized by shuffling the empirical traits among people, the
level of long-term cultural diversity is in-between those obtained for the
empirical and uniformly random counterparts. The current study repeats the
analysis for multiple empirical data sets, showing that the results are
remarkably similar, although the matrix of correlations between cultural
variables clearly differs across data sets. This points towards robust
structural properties inherent in empirical cultural states, possibly due to
universal laws governing the dynamics of culture in the real world. The results
also suggest that this dynamics might be characterized by criticality and
involve mechanisms beyond social influence.
