Exposing the True Terrorist Network*
**About Data Set
In this project we work with the Terrorist Relations dataset that is taken from the Profile in Terror (PIT) knowledge base as presented in docs. This dataset illustrates an affiliation network of terrorists where nodes are represented as relations and edges as terrorists.As such, a node consists of two terrorist identifiers and two nodes are connected by an edge if they share a common terrorist. This representation is known as a Line Graph and is often used in classification tasks where the interest is placed on the label of two interlinked network entities rather than the labels of the entities themselves.
**Aim of Project
As terrorists arguably present the largest threat to today's society, it is of great interest to analyse and reveal interesting properties of their network in order to guide anti-terrorist campaigns and help ensure public safety around the world.This dataset was of particular interest as data relating to terrorists is scarce due to the secretive nature of terrorist activities. The original PIT dataset contains relevant terrorism related information extracted from public news sources such as newspapers, broadcasts, and court proceedings. Hence, this dataset is purely built on empirical evidences and it safe to assume that it is incomplete.
As a result, we set ourselves the objective of revealing the complete terrorist network and subsequently performing a network analysis on both the original and expanded networks. Finally, we aim to define the top priority terrorist(s) for anti-terrorism campaigns to target in order to successfully disrupt and weaken the network.
**Content of Repository
- TerroristRel Dataset
- Final Notebook.ipynb : Jupyter Notebook for Data Exploration & Data Exploitation
- EE_558_Project_Report
- CSV Files : Collected data for geomap mentioned in EE_558_Project_Report