Analyzing covert social network foundation behind terrorism disaster

TL;DR

This paper presents a method to uncover hidden nodes in covert social networks behind terrorist activities, integrating expert knowledge, graph theory insights, and data processing, demonstrated through a 9/11 case study.

Contribution

It introduces a novel approach combining expert insights, complex graph theory, and computational methods to identify unmonitored nodes in covert social networks.

Findings

Effective in identifying hidden network nodes in simulations

Utilizes 9/11 social network data for validation

Enhances understanding of terrorist social structures

Abstract

This paper addresses a method to analyze the covert social network foundation hidden behind the terrorism disaster. It is to solve a node discovery problem, which means to discover a node, which functions relevantly in a social network, but escaped from monitoring on the presence and mutual relationship of nodes. The method aims at integrating the expert investigator's prior understanding, insight on the terrorists' social network nature derived from the complex graph theory, and computational data processing. The social network responsible for the 9/11 attack in 2001 is used to execute simulation experiment to evaluate the performance of the method.