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
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
Growing polarization around climate change on social media. Nature Climate Change (2022)
Macroscopic properties of buyer–seller networks in online marketplaces. PNAS Nexus (2022)
Central bank digital currencies risk becoming a digital Leviathan. Nature Human Behaviour (2022)
Mapping the NFT revolution: market trends, trade networks and visual features. Scientific Reports (2021)
Experimental evidence for scale-induced category convergence across populations. Nature Communications (2021)
From code to market: Network of developers and correlated returns of cryptocurrencies. Science Advances (2020)
The dynamics of norm change in the cultural evolution of language. PNAS (2018)
Experimental evidence for tipping points in social convention. Science (2018)
Evidence for a conserved quantity in human mobility. Nature Human Behaviour (2018)
Evolutionary dynamics of the cryptocurrency market. RSOS (2017)
The spontaneous emergence of conventions: An experimental study of cultural evolution. PNAS (2015)
Networks in Cognitive Science. Trends Cog. Sci. (2013)
Modeling human dynamics of face-to-face interaction networks. Phys. Rev. Lett. (2013)
Random Walks and Search in Time-Varying Networks. Rev. Lett. (2012)
Modeling the emergence of universality in color naming patterns. PNAS (2010)
Cultural route to the emergence of linguistic categories. PNAS (2008)
Sharp transition towards shared vocabularies in multi-agent systems. J. Stat. Mech. P06014 (2006)