[HTML][HTML] Networks beyond pairwise interactions: Structure and dynamics

F Battiston, G Cencetti, I Iacopini, V Latora, M Lucas… - Physics reports, 2020 - Elsevier
The complexity of many biological, social and technological systems stems from the richness
of the interactions among their units. Over the past decades, a variety of complex systems …

Reflections on the future of swarm robotics

M Dorigo, G Theraulaz, V Trianni - Science Robotics, 2020 - science.org
Reflections on the future of swarm robotics | Science Robotics news careers commentary
Journals Science Science brought to you byGoogle Indexer Log in science science …

The echo chamber effect on social media

M Cinelli, G De Francisci Morales… - Proceedings of the …, 2021 - National Acad Sciences
Social media may limit the exposure to diverse perspectives and favor the formation of
groups of like-minded users framing and reinforcing a shared narrative, that is, echo …

[HTML][HTML] The COVID-19 social media infodemic

M Cinelli, W Quattrociocchi, A Galeazzi… - Scientific reports, 2020 - nature.com
We address the diffusion of information about the COVID-19 with a massive data analysis on
Twitter, Instagram, YouTube, Reddit and Gab. We analyze engagement and interest in the …

Swarm robotics: Past, present, and future [point of view]

M Dorigo, G Theraulaz, V Trianni - Proceedings of the IEEE, 2021 - ieeexplore.ieee.org
Swarm robotics deals with the design, construction, and deployment of large groups of
robots that coordinate and cooperatively solve a problem or perform a task. It takes …

[HTML][HTML] A gated recurrent unit approach to bitcoin price prediction

A Dutta, S Kumar, M Basu - Journal of risk and financial management, 2020 - mdpi.com
In today's era of big data, deep learning and artificial intelligence have formed the backbone
for cryptocurrency portfolio optimization. Researchers have investigated various state of the …

Social contagion models on hypergraphs

GF de Arruda, G Petri, Y Moreno - Physical Review Research, 2020 - APS
Our understanding of the dynamics of complex networked systems has increased
significantly in the last two decades. However, most of our knowledge is built upon assuming …

Anticipating cryptocurrency prices using machine learning

L Alessandretti, A ElBahrawy, LM Aiello… - …, 2018 - Wiley Online Library
Machine learning and AI‐assisted trading have attracted growing interest for the past few
years. Here, we use this approach to test the hypothesis that the inefficiency of the …

[HTML][HTML] Reality-inspired voter models: A mini-review

S Redner - Comptes Rendus Physique, 2019 - Elsevier
This mini-review presents extensions of the voter model that incorporate various plausible
features of real decision-making processes by individuals. Although these generalizations …

Evolutionary dynamics of the cryptocurrency market

A ElBahrawy, L Alessandretti… - Royal Society …, 2017 - royalsocietypublishing.org
The cryptocurrency market surpassed the barrier of $100 billion market capitalization in
June 2017, after months of steady growth. Despite its increasing relevance in the financial …