Andrea Baronchelli

I am a Professor of Complexity Science at City, University of London, and also the Token Economy theme lead at The Alan Turing Institute and a Research Associate at the UCL Centre for Blockchain Technologies.

My work centres on the quantitative understanding of human behaviour and collective dynamics in decentralised socio-technical systems. Using concepts and tools from complex systems, network science and machine learning, I analyse massive datasets, build mathematical models and occasionally run experiments with human subjects.

My research has contributed to a better understanding of topics that include coordination in complex networks, blockchain and cryptocurrency ecosystems, (mis)information spreading and polarisation in social networks, the emergence and dynamics of social norms, human categorisation, tipping points in collective behaviour, human mobility and fundamental network science (diffusion processes and temporal nets). 

The results have been published in high impact journals including Science, PNAS, Nature Human Behaviour, Nature Climate Change, Nature Communications, Science Advances and Physical Review Letters, and my work has been supported by a variety of funders including UKRI, PayPal, ESRC, InnovateUK, UK Govt. In 2019, I received the Young Scientist Award for Socio and Econophysics from the German Physical Society. 

Mapping the NFT revolution

The paper Mapping the NFT revolution: market trends, trade networks, and visual features (Oct '21) presented the first comprehensive analysis of the NFT phenomenon.

Critical mass and tipping points in social convention

I have been researching the dynamics of norm formation and collective behaviour  change for more than 15 years. 

IC2S2'20 Keynote talk

Collective Dynamics of Dark Web Marketplaces

Together with academic and industrial partner we analyse and model licit and illicit trade networks

ACM Collective Intelligence '20 

Selected publications: