Biography

I am a physicist with a strong interest in applied sciences. My research deals with Complex Networks, Data Science and their application to the study and modeling of social and urban systems.

I am an Associate Professor in the Network Science Institute at Northeastern University London and Affiliated Faculty in the Department of Physics at Northeastern University.

Previously, I have been a James S. McDonnell Foundation Postdoctoral Fellow at the Department of Network and Data Science, CEU. I received my PhD from the School of Mathematical Sciences at Queen Mary University of London, where I worked within the Complex Systems and Networks Research Group under the supervision of Vito Latora. I have held research positions at the Centre de Physique Théorique of Aix-Marseille University, at the Urban Dynamics Lab of the Centre for Advanced Spatial Analysis (CASA), UCL, at The Alan Turing Institute (London), and at the ISI Foundation in Turin. I also worked as a Data Science Intern at UN Universal Postal Union in Bern.

Interests

  • Complex Networks
  • Complex Systems
  • Science of Cities
  • Computational Social Science

Education

  • PhD in Mathematics

    Queen Mary University of London

  • MSc in Physics of Complex Systems

    University of Turin

  • BSc in Physics

    University of Bologna

Publications

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(2024). The networks of ingredient combination in cuisines around the world. in arXiv.

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(2024). The temporal dynamics of group interactions in higher-order social networks. in Nature Communications.

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(2024). The structural evolution of temporal hypergraphs through the lens of hyper-cores. in EPJ Data Science.

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(2024). Distinguishing mechanisms of social contagion from local network view. in arXiv.

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(2024). Not your private tête-à-tête: leveraging the power of higher-order networks to study animal communication. in Philosophical Transactions of the Royal Society B.

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(2023). Insights from exact social contagion dynamics on networks with higher-order structures. in Journal of Complex Networks.

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(2023). Hyper-cores promote localization and efficient seeding in higher-order processes. in Nature Communications.

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(2023). The dynamics of higher-order novelties. in arXiv.

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(2023). XGI: A Python package for higher-order interaction networks. in Journal of Open Source Software.

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(2023). Simplicially driven simple contagion. in Physical Review Research.

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(2023). Quantifying human performance in chess. in Scientific Reports.

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(2022). Non-selective distribution of infectious disease prevention may outperform risk-based targeting. in Nature Communications.

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(2022). Social contagion on higher-order structures. Higher-Order Systems.

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(2022). Group interactions modulate critical mass dynamics in social convention. in Communications Physics.

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(2022). Social interactions affect discovery processes. in arXiv.

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(2022). Influential groups for seeding and sustaining nonlinear contagion in heterogeneous hypergraphs. in Communications Physics.

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(2021). The physics of higher-order interactions in complex systems. in Nature Physics.

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(2021). The structural architecture of international industry networks in the global economy. PLoS One.

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(2021). Simplicial contagion in temporal higher-order networks. Journal of Physics: Complexity.

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(2021). London in lockdown: Mobility in the Pandemic City. .

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(2021). On the dual nature of adoption processes in complex networks. In Frontiers in Physics.

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(2020). Interactive discovery processes on complex networks. In Physical Review Letters.

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(2020). Networks beyond pairwise interactions: structure and dynamics. In Physics Reports.

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(2020). Multilayer modeling of adoption dynamics in energy demand management. in Chaos: An Interdisciplinary Journal of Nonlinear Science.

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(2019). The brokerage role of small states and territories in global corporate networks. In Growth and Change: A Journal of Urban and Regional Policy.

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(2019). Using Foursquare data to reveal spatial and temporal patterns in London. NetMob 2019.

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(2019). Evaluating the impact of PrEP on HIV and gonorrhea on a networked population of female sex workers. arXiv.

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(2019). Simplicial models of social contagion. in Nature Communications.

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The team

Principal Investigators

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Iacopo Iacopini

Associate Professor

Researchers

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Leonardo Federici

PhD Student

Mattia Marasti

Master’s Student

Visitors

Guglielmo Ferranti

Visiting PhD Student

Alumni

Claudio Caprioli

Visiting PhD Student

Nicolò Fidelibus

Master’s Student

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Saumitra Kulkarni

Master’s Student

Experience

 
 
 
 
 

Associate Professor

Northeastern University London

Sep 2024 – Aug 2024 London
Network Science Institute
 
 
 
 
 

Assistant Professor

Northeastern University London

Jun 2023 – Aug 2024 London
Network Science Institute
 
 
 
 
 

JSMF Postdoctoral Fellow

Central European University

Jun 2021 – Jun 2023 Vienna
Department of Network and Data Science
 
 
 
 
 

Research Assistant

Aix-Marseille Université

Oct 2020 – Mar 2021 Marseille
Centre de Physique Théorique
 
 
 
 
 

Visiting Lecturer

City, University of London

Sep 2019 – Sep 2020 London
Department of Mathematics
 
 
 
 
 

Research Assistant

University College London

Mar 2019 – Sep 2020 London
Centre for Advanced Spatial Analysis (CASA)
 
 
 
 
 

Teaching Fellow

Queen Mary University of London

Jan 2019 – Aug 2019 London
School of Electronic Engineering & Computer Science
 
 
 
 
 

Enrichment Doctoral Student

The Alan Turing Institute

Oct 2017 – Oct 2018 London
 
 
 
 
 

Postgraduate Research Student

Queen Mary University of London

Sep 2016 – Feb 2021 London
Complex Systems and Networks Research Group
 
 
 
 
 

Computational Support Assistant

Queen Mary University of London

Sep 2016 – Dec 2018 London
Dynamical Systems and Statistical Physics Research Group
 
 
 
 
 

Researcher

ISI Foundation

May 2016 – Sep 2016 Turin
Data Science Lab - Mathematics & Foundation of Complex Systems Group
 
 
 
 
 

Data Science Intern

United Nations - Universal Postal Union

Sep 2015 – Apr 2016 Bern

Activities

Teaching


I’ve been Visiting Lecturer at City, University of London, for the course:

  • 2019/2020 Mathematics for Economists (MA1202).

I’ve been teaching Network Science at the School of Electronic Engineering & Computer Science (QMUL):

  • 2018/2019 Network Modeling and Performance (ECS724U/P).

I’ve been Teaching Assistant for the following courses at QMUL:

  • 2016/2017 Introduction to Statistics (MTH4106/MTH4206).
  • 2016/2017 Network Modeling and Performance (ECS724U/P).

Service


Referee Activity


I’ve been a reviewer for the journals:

Nature Communications, Physical Review Letters, Communications Physics, Physical Review E, Ecology Letters, Europhysics Letters, Scientific Reports, Philosophical Transactions of the Royal Society A, Proceeding of the Royal Society A, Chaos, EPJ Data Science, PLoS One, Advances in Complex Systems, Frontiers in Physics, Chaos Solitons & Fractals, Mathematical and Computer Modelling of Dynamical Systems, Online Social Networks and Media, EEE Control Systems Society Conference.

Scholarships, Grants & Awards


  • 2021 CSS Emerging Researcher Award, Complex Systems Society.
  • 2020 JSMF Postdoctoral Fellowship, James S. McDonnell Foundation.
  • 2019 Postgraduate Research Fund, QMUL.
  • 2017 Travel Grant for the Symposium on The Future of Urban Networks Research, Ghent University.
  • 2017 Turing PhD Enrichment Scholarship, The Alan Turing Institute.
  • 2017 Travel Grant for the Summer School on Methods for Computational Social Science, GESIS.
  • 2016 Research Studentship Queen Mary Principal’s Award, QMUL.

Contact

iacopo.iacopini[at]nulondon[dot]ac[dot]uk

  • Devon House, 58 St Katharine's Way, London, E1W 1LP
  • DM Me