  Data deluge characteristic for our times has led to information overload,
posing a significant challenge to effectively finding our way through the
digital landscape. Addressing this issue requires an in-depth understanding of
how we navigate through the abundance of information. Previous research has
discovered multiple patterns in how individuals navigate in the geographic,
social, and information spaces, yet individual differences in strategies for
navigation in the knowledge space has remained largely unexplored. To bridge
the gap, we conducted an online experiment where participants played a
navigation game on Wikipedia and completed questionnaires about their personal
information. Utilizing a graph embedding trained on the English Wikipedia, our
study identified distinctive strategies that participants adopt: when the
target is a famous person, participants typically use the geographical and
occupational information of the target to navigate, reminiscent of hub-driven
and proximity-driven approaches, respectively. We discovered that many
participants playing the same game exhibit a "wisdom of the crowd" effect: The
set of strategies provide a good estimate for the information landscape around
the target indicating that the individual differences complement each other.
