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Yueting Han

Hello!

I am an Innovation Research Associate (InRA) at CAMaCS.

I completed my PhD in MathSys II CDTLink opens in a new window (also at Warwick), with my research direction in network modelling of behavioural ecology on social media (e.g., Facebook, Twitter).

My main areas of research are Complex Networks and Complex Systems. Topics of particular interest are social network dynamics, mesoscale structure (e.g., community detection, bow-tie structure), agent-based modelling, network epidemiology. During my research, I pay special attention to network visualisation.

Publications

Y. Han, P. Turrini, M. Bazzi, G. Andrighetto, E. Polizzi, and M. De Domenico, "Measuring the co-evolution of online engagement with (mis)information and its visibility at scale". (Preprint, 2025) [arXivLink opens in a new window; Data&CodeLink opens in a new window]

Y. Han, M. Bazzi, and P. Turrini, "Modelling and predicting online vaccination views using bow-tie decomposition". Royal Society Open Science. (2024) [PublicationLink opens in a new window; arXivLink opens in a new window; Data&CodeLink opens in a new window]


Education

University of Warwick, Coventry, UK (CDT Programme - MSc leading to PhD)

PhD Mathematics of Systems (Sep 2022 - Jun 2026)

MSc Mathematics of Systems, with Distinction (Sep 2021 - Sep 2022)

The Alan Turing Institute, London, UK

Enrichment student (Jan - Jul 2025)

University of Liverpool & Xi’an Jiaotong - Liverpool University (Dual Degree Programme)

University of Liverpool, Liverpool, UK

BSc Mathematics, with First-class Honours (Sep 2019 - Jun 2021)

Xi’an Jiaotong - Liverpool University (XJTLU), Suzhou, China

BSc Applied Mathematics, with First-class Honours (Sep 2017 - Jun 2019)


Other Responsibilities

Co-organiser of the Interest Group: Media in the Digital AgeLink opens in a new window, The Alan Turing Institute (Dec 2023 - Present)


photo

Contact Information

Email:

Office: C0.06, Zeeman BuildingLink opens in a new window


Last update in July 2026


Skills

Programming Languages:

  • proficient in Python (primary language), Julia, MATLAB
  • basic knowledge in R, Java (first language), C++, Maple

Technologies/Frameworks:

  • Linux, GitHub, Google Colab, LaTeX

Tools:

  • Network visualisation: Gephi, Tulip
  • Statistics: Minitab, SPSS, Tableau

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