Detecting Terrorist Networks in the United States

Kuttikad, Akash Govind

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https://hdl.handle.net/2142/114255 Copy

Description

Title

Detecting Terrorist Networks in the United States

Author(s)

Kuttikad, Akash Govind

Contributor(s)

Shankar, Sushama Chamarajanagar

Issue Date

2022

Keyword(s)

Industrial & Enterprise Systems Engineering

Abstract

One of the foremost concerns of national security in the United States and several countries in the world is the threat of terrorist activity. In this project, we aim to formulate a network of terrorist groups by analyzing several attributes of various terrorist attacks that occurred in the United States from 1970 until 2019. Using the information from the Global Terrorism Database, we have structured a network of events based on spatial, temporal, and target type attributes. The inferences from this initial analysis were used to create a network of terrorist groups using a similarity score based on the aforementioned attributes. Using centrality metrics, the maximum relaxed star structure has been determined to find the most influential group. In the image submitted, the node in black represents the most influential terrorist group with the blue edges representing the reach of its influence. The red nodes correspond to the terrorist groups which have been influenced by the most influential groups - Left-Wing Militants. This project provides the foundation required to identify the most influential terrorist groups and potentially destabilize such a network efficiently.

Type of Resource

• Text
• Image

Language

eng

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http://hdl.handle.net/2142/114255

Copyright and License Information

Copyright 2022 Akash Govind Kuttikad

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