  Almost universally, wealth is not distributed uniformly within societies or
economies. Even though wealth data have been collected in various forms for
centuries, the origins for the observed wealth-disparity and social inequality
are not yet fully understood. Especially the impact and connections of human
behavior on wealth could so far not be inferred from data. Here we study wealth
data from the virtual economy of the massive multiplayer online game (MMOG)
Pardus. This data not only contains every player's wealth at every point in
time, but also all actions of every player over a timespan of almost a decade.
We find that wealth distributions in the virtual world are very similar to
those in western countries. In particular we find an approximate exponential
for low wealth and a power-law tail. The Gini index is found to be $g=0.65$,
which is close to the indices of many Western countries. We find that
wealth-increase rates depend on the time when players entered the game. Players
that entered the game early on tend to have remarkably higher wealth-increase
rates than those who joined later. Studying the players' positions within their
social networks, we find that the local position in the trade network is most
relevant for wealth. Wealthy people have high in- and out-degree in the trade
network, relatively low nearest-neighbor degree and a low clustering
coefficient. Wealthy players have many mutual friendships and are socially well
respected by others, but spend more time on business than on socializing. We
find that players that are not organized within social groups with at least
three members are significantly poorer on average. We observe that high
`political' status and high wealth go hand in hand. Wealthy players have few
personal enemies, but show animosity towards players that behave as public
enemies.
