Fernando Diaz

Fernando Diaz Diaz
Perfil

My research is devoted to the study of the structure and dynamics of complex networks. Complex networks are the skeletons of complex systems, and as such, its range of application can extend to any field of science, from physics to sociology. My interests are not limited to analytical predictions, but also extend to numerical simulations and data analysis.

My PhD thesis focuses on studying the the structure and dynamics of signed networks; this is, networks where conflict is explicitly modelled through negative links between agents. In particular, I investigate the effects of structural unbalance on diplomatic, social and biological networks: is diplomatic unbalance related to international conflict? Can unbalance in social networks prevent polarization?

If you are interested, you can find a list of my publications in my Google Scholar profile: https://scholar.google.com/citations?user=5gwBSl0AAAAJ&hl=es

Publicaciones recientes

Echo chamber effects in signed networks

Vendeville, Antoine; Diaz-Diaz, Fernando
Submitted (2025)

Global Balance and Systemic Risk in Financial Correlation Networks

Bartesaghi, Paolo; Diaz-Diaz, Fernando; Grassi, Rosanna; Uberti, Pierpaolo
Submitted (2025)

Mathematical modeling of local balance in signed networks and its applications to global international analysis

Diaz-Diaz, Fernando; Bartesaghi, Paolo; Estrada, Ernesto
Journal of Applied Mathematics and Computing , (2024)

Signed graphs in data sciences via communicability geometry

Diaz-Diaz, Fernando; Estrada, Ernesto
Submitted (2024)

Echo chambers and information transmission biases in homophilic and heterophilic networks

Diaz-Diaz, Fernando; San Miguel, Maxi; Meloni, Sandro;
Scientific Reports 12, 9350 (2022)

Proyectos de investigación vigentes

MdM-IFISC-2

Maria de Maeztu 2023-2026

I.P.: Ernesto Estrada, Ingo Fischer, Emilio Hernández-García, Rosa Lopez, Claudio Mirasso, Jose Javier Ramasco, Raúl Toral, Roberta Zambrini
After 15 years of its existence, IFISC can point to a proven track record of impactful research. The previous 2018-2022 MdM award has significantly enhanced the institute's capabilities, as demonstrated by an ...

Formulario de contacto


Esta web utiliza cookies para la recolección de datos con un propósito estadístico. Si continúas navegando, significa que aceptas la instalación de las cookies.


Más información De acuerdo