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 …
that requires comprehensive and multidisciplinary approaches for its effective prevention …
Uncovering the internal structure of Boko Haram through its mobility patterns
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 …
becoming one of the deadliest Jihadist organisations in recent history. At its current rate …
Learning future terrorist targets through temporal meta-graphs
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 …
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
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 …
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
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 …
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
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 …
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 …
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
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 …
support criminal investigations, such as those related to terrorism. In this work, two relevant …
Multiplex networks reveal geographic constraints on illicit wildlife trafficking
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 …
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 …
combine unsupervised machine learning, exploratory data analysis, and statistical tests to …