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Advisor(s)
Abstract(s)
This paper studies the global terrorism
dynamics over the period 1970–2014. Data about terrorist
events are analyzed by means of several mathematical
tools, namely fractal dimension, entropy, state
space portrait and multidimensional scaling, that reflect
the dynamics in time and space. In a first phase, we consider
worldwide events and we unveil the space–time
characteristics exhibited by the global terrorism statistics.
In a second phase, we group the events into eight
geographic regions, and we analyze terrorism dynamics
in a regional perspective. Finally, in a third phase,
we adopt a complementary analysis of global terrorism
based on multidimensional scaling and clustering techniques.
The proposed methodology reveals to
Description
Keywords
Dynamical systems Entropy Fractal dimension State space portrait Multidimensional scaling Terrorism
Citation
Publisher
Springer Verlag