Artificial Intelligence (AI) has advanced material research that were previously intractable,
for example, the machine learning (ML) has been able to predict some unprecedented …

We measure systemic risk when faced with simulated shocks through the systemic model of
banking originated losses. The formation mechanism of systemic risk is explored from the …

Real-world attacks can be interpreted as the result of competitive interactions between
networks, ranging from predator–prey networks to networks of countries under economic …

The recent financial crisis has motivated efforts to understand how systemic risk
endogenously arises and what structure can make the financial system more stable. This …

We show that the emergence of systemic risk in complex systems can be understood from
the evolution of functional networks representing interactions inferred from fluctuation …

Estimating the critical points at which complex systems abruptly flip from one state to another
is one of the remaining challenges in network science. Due to lack of knowledge about the …

By drawing analogies with independent research areas, we propose an unorthodox
framework for mapping microfinance credit risk---a major obstacle to the sustainability of …

The study of risk contagion in economic networks has most often focused on the financial
liquidities of institutions and assets. In practice the agents in a network affect each other …

Marko Jusupa,∗, Shingo Iwamia, b, Boris Podobnikc, d, e, H. Eugene Stanleyc aFaculty of
Sciences, Kyushu University, Fukuoka 812-8581, Japan bPRESTO, Japan Science and …

An endogenous banking system is proposed based on dynamic mechanisms of interbank
loans and investment strategies to explore the behavioral incentives of diversification and its …