Abstract:
In this paper we introduce a methodology to create
multilayered terrorist networks, taking into account that the
main challenges of the data behind the networks are incompleteness, fuzzy boundaries, and dynamic behavior. To account
for these dark networks’ characteristics, we use knowledge
sharing communities in determining the methodology to create
3-layered networks from each of our datasets. We analyze
the resulting layers of three terrorist datasets and present
explanations of why three layers should be used for these
models. We also use the information of just one layer, to identify
the Bali 2005 attack community
