Application of Statistical Physics to Terrorism
نویسنده
چکیده
This paper reviews two models used to study terrorism from a statistical physics point of view. The first model describes terrorism using percolation theory based on individual passive supporters. The second one is an opinion dynamic model with memory that is used to understand the inter-event time (time between terrorism events). The first model provides us with some recommendations to reduce the terrorism threat or at least confine it to a specific region, while the second model offers a good agreement between the empirical data and their predictions.
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