Corruption and complexity: a scientific framework for the analysis of corruption networks

I Luna-Pla, JR Nicolás-Carlock - Applied Network Science, 2020 - Springer
Abstract According to United Nations, corruption is a systemic and adaptive phenomenon
that requires comprehensive and multidisciplinary approaches for its effective prevention …

Uncovering the internal structure of Boko Haram through its mobility patterns

R Prieto Curiel, O Walther, N O'Clery - Applied Network Science, 2020 - Springer
Boko Haram has caused nearly 40,000 casualties in Nigeria, Niger, Cameroon and Chad,
becoming one of the deadliest Jihadist organisations in recent history. At its current rate …

Learning future terrorist targets through temporal meta-graphs

GM Campedelli, M Bartulovic, KM Carley - Scientific reports, 2021 - nature.com
In the last 20 years, terrorism has led to hundreds of thousands of deaths and massive
economic, political, and humanitarian crises in several regions of the world. Using real-world …

[HTML][HTML] An integrated deep-learning and multi-level framework for understanding the behavior of terrorist groups

D Jiang, J Wu, F Ding, T Ide, J Scheffran, D Helman… - Heliyon, 2023 - cell.com
Human security is threatened by terrorism in the 21st century. A rapidly growing field of study
aims to understand terrorist attack patterns for counter-terrorism policies. Existing research …

Coordinating Narratives Framework for cross-platform analysis in the 2021 US Capitol riots

LHX Ng, IJ Cruickshank, KM Carley - Computational and Mathematical …, 2023 - Springer
Coordinated disinformation campaigns are used to influence social media users, potentially
leading to offline violence. In this study, we introduce a general methodology to uncover …

Automating terror: the role and impact of telegram bots in the Islamic state's online ecosystem

A Alrhmoun, C Winter, J Kertész - Terrorism and political violence, 2024 - Taylor & Francis
In this article, we use network science to explore the topology of the Islamic State's “terrorist
bot” network on the online social media platform Telegram, empirically identifying its …

Quantitative analysis and prediction of global terrorist attacks based on machine learning

X Pan - Scientific Programming, 2021 - Wiley Online Library
Terrorist attacks pose a great threat to global security, and their analysis and prediction are
imperative. Considering the high frequency of terrorist attacks and the inherent difficulty in …

Entropy and network centralities as intelligent tools for the investigation of terrorist organizations

AZ Spyropoulos, C Bratsas, GC Makris, E Ioannidis… - Entropy, 2021 - mdpi.com
In recent years, law enforcement authorities have increasingly used mathematical tools to
support criminal investigations, such as those related to terrorism. In this work, two relevant …

Multiplex networks reveal geographic constraints on illicit wildlife trafficking

FJ Arroyave, AM Petersen, J Jenkins… - Applied Network Science, 2020 - Springer
Illicit wildlife trafficking poses a threat to the conservation of species and ecosystems, and
represents a fundamental source of biodiversity loss, alongside climate change and large …

Applying unsupervised machine learning to counterterrorism

R Bridgelall - Journal of Computational Social Science, 2022 - Springer
To advance the agenda in counterterrorism, this work demonstrates how analysts can
combine unsupervised machine learning, exploratory data analysis, and statistical tests to …