  Can we describe social systems quantitatively and predictively, when we know
all the actions, interactions, and states of individuals? We interpret human
societies as co-evolutionary systems of individuals and their interactions.
Based on unique data of a society of computer game players, where all actions
and interactions between all players are known, we show that this might indeed
be possible. Within this framework we address a number of sociological
classics, including formation of social networks, strength of relations, group
formation, hierarchical organization, aggression management, gender
differences, mobility, and wealth-inequality. We discover behavioral and
organizational patterns of the homo sapiens and its society that were not
visible with traditional methodology from the social sciences.
