Design and implementation of an agent-based social model of terrorist networks based on social network analysis techniques

This thesis is the result of a project whose objectives have been to design and implement a Terrorist Network model and its' visualisation. This model can be used by security forces with the aim of preventing other attacks and being one step ahead from terrorist intentions and movements. As we have mentioned, the project will be focused on the design and implementation of a Terrorist Network model. To do so, we have based our model in the study of Social Networks behaviour and network types, paying attention to disparate simulators and functions of network analysis software Networkx. Soil, a social simulator based in agents, has been used to help us in this project due to its advantages as for example: the ability to provide capacities for modelling, simulating and visualizing Social Networks. Different techniques have been applied to design, develop and study terrorist behaviour models on Python, evaluating and simulating useful information such as information spread, agent types and other characteristics of terrorist networks using a variety of network topologies and methods of manipulating networks' structure. In addition, we have used some functions to study and manipulate this structure, for example nodes centrality. To continue, a Terrorist Network will be rendered being able to identify di�erent agents and visualising network expansion. This interactive visualisation will be generated using Gephi network visualization tool; making easy to understand and analyse it. Besides, a line-graph will be also generated to easily understand our model. As a result, this project will allow an extensive analysis of Social Networks structure and conduct patterns, pointing out how organizations expand affecting all type of agents. With all these informations we are going to be able to understand terrorist behaviour.