Finding Hidden Links in Terrorist Networks by Checking Indirect Links of Different Sub-Networks

Abstract

Modeling and analyzing criminal and terrorists networks is a challenging problem that has attracted considerable attention
in the academia, industry and government institutions, especially intelligence services. Criminals try to keep their communications
and interactions uncovered as much as possible in order not to be discovered and resolved. Their success is our society failure
and vice versa. Hence, it is essential to thoroughly study such networks to investigate their details. However, incompleteness
of criminal networks is one of the main problems facing investigators, due to missing links in the network; and social network
methods could be effectively used to analyze and hopefully prevent, avoid or stop criminal activities. Social network analysis
can be applied to criminal networks in order to elaborate on good strategies to prosecute or prevent criminal activities.
Having all this in mind, our research provides a method to identify hidden links between nodes in a network using the current
information available to investigators. The method presented generates networks that represent all the possible hidden links,
and the links of these generated networks represent the number of times the two entities are indirectly connected in each
relationship type. The method was tested on multiple small terrorism data sets and the results demonstrate that the proposed
method is capable of finding interesting hidden links. This is a valuable technique in criminal network analysis, because
it can assist investigators in finding hidden links in the network and reduce the amount of missing data.