معرفی
Dr. Francesca Arrigo is a Lecturer in the Department of Mathematics and Statistics within the Faculty of Science at the University of Strathclyde, UK. Her research lies at the intersection of network science, matrix analysis, and applied mathematics, focusing on centrality measures, non-backtracking walks, and dynamic network modeling.
Her research interests include:
- Centrality measures in complex networks
- Non-backtracking and non-cycling walks
- Matrix functions and their network applications
- Eigenvector-based centralities
- Dynamic and temporal networks
- Combinatorial matrix theory
The recent publications reflect a strong trend in developing mathematical frameworks for network analysis, particularly through advanced walk-counting techniques and spectral methods. Her work bridges theoretical linear algebra with practical applications in network science, especially in understanding influence and connectivity patterns in complex systems.
She has received research funding from the Leverhulme Trust for her project 'Don't look back -- non-backtracking walks in complex networks' and is actively involved in academic service, including peer review, editorial duties, and conference organization.
Dr. Arrigo has served as an internal examiner for PhD theses and has delivered invited talks at major conferences, indicating her growing recognition in the applied mathematics and network science communities.
She is also Vice President of the UK and Ireland Section of the Society for Industrial and Applied Mathematics (SIAM), highlighting her leadership in the academic community.
