Group interactions are widespread, and higher-order extensions of familiar models display collective phenomena absent from their pairwise baselines, which are routinely offered as evidence of a distin...

Textbook, featuring practical simulation algorithms written in pseudocode with implemented code available online.

For nearly two decades, human mobility has been read as scale free. Displacement distributions follow heavy tails that look like truncated power laws, traced to individual Lévy flights. A rival accoun...

We study the effect of assortative and disassortative mixing on the robustness of networks under random node failures. For ordinary (dyadic) networks, by using the generating function technique and st...

We study the Susceptible-Infectious-Susceptible (SIS) model on arbitrary networks. The well-established pair approximation treats neighboring pairs of nodes exactly while making a mean field approxima...

Complex contagions describe systems where the probability or rate of contagious transmission is a nonlinear function of the exposure to contagious agents. These models were first studied theoretically...

Research group on inverse problems in complex systems and network science.

We demonstrate that graph-based models are fully capable of representing higher-order interactions, and have a long history of being used for precisely this purpose. This stands in contrast to a commo...

Disease spreading models such as the ubiquitous SIS compartmental model and its numerous variants are widely used to understand and predict the behavior of a given epidemic or information diffusion pr...

Human cooperation arises naturally and is essential for the development of successful societies. This study aims to identify which aspects of the interaction influence societal cooperation and defection. Specifically, we investigate human cooperation ...

Author summary Infectious diseases such as measles and Ebola have shown how quickly outbreaks can spread and how essential vaccination is to protect individuals. In our work, we investigate a spectrum...

arXiv abstract link

The failure of interdependent networks, as well as similar avalanche phenomena, is driven by cascading failures. At the critical point, the cascade begins as a critical branching process, where each f...

This post continues the theme of how quirks of the human psyche limit our advancement of knowledge1—quirks that are very much avoidable if you are aware of them, but if you aren’t, they move …

The dynamics of diffusion in complex networks are widely studied to understand how entities, such as information, diseases, or behaviors, spread in an interconnected environment. Complex networks ofte...

Inverse Complexity Lab

Author summary Population response to public health interventions during the Covid-19 pandemic exhibited strong heterogeneities associated to socio-economic factors, labour structure and demographics ...

YouTube video by Instituto de Física Teórica, IFT-UNESP

How to survive as an interdisciplinary being - Download as a PDF or view online for free

YouTube video by Complexity Papers

This paper proposes a theoretical framework for investigating random hypergraphs with higher-order triadic interactions. The authors combine percolation theory with nonlinear dynamics and examine hype...