  With a steadily growing human population and rapid advancements in
technology, the global human network is increasing in size and connection
density. This growth exacerbates networked global threats and can lead to
unexpected consequences such as global epidemics mediated by air travel,
threats in cyberspace, global governance, etc. A quantitative understanding of
the mechanisms guiding this global network is necessary for proper operation
and maintenance of the global infrastructure. Each year the World Economic
Forum publishes an authoritative report on global risks, and applying this data
to a CARP model, we answer critical questions such as how the network evolves
over time. In the evolution, we compare not the current states of the global
risk network at different time points, but its steady state at those points,
which would be reached if the risk were left unabated. Looking at the steady
states show more drastically the differences in the challenges to the global
economy and stability the world community had faced at each point of the time.
Finally, we investigate the influence between risks in the global network,
using a method successful in distinguishing between correlation and causation.
All results presented in the paper were obtained using detailed mathematical
analysis with simulations to support our findings.
