Fernando Diaz-Diaz
@fernandodiazdiaz.bsky.social
340 followers 260 following 78 posts
Physicist by training, mathematician by work. Assistant Prof. at the University Carlos III (Madrid). Currently exploring the mathematical properties of signed networks. Also interested in statistics, international relations, and mathematical finance.
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🚀 New paper out! We introduce communicability geometry for signed networks, proposing new tools and frameworks for the analysis of signed datasets. 📊🔍
www.sciencedirect.com/science/arti...
What does that mean? And why should you care? 🧵👇
https://sciencedirect.com/science/articl…
Reposted by Fernando Diaz-Diaz
Continuamos con nuestros conferenciantes invitados!
En la 4º reunión de la Sociedad Española de Sistemas Complejos tendremos el placer de contar con
Carlos Gershenson, SUNY Binghamton
@cgershen.bsky.social
🗓️ 21-23 enero Sevilla 2026
🚨 Envía tu abstract hasta el 30 Oct 2025
🌐 cs3.es/conference-2026
Reposted by Fernando Diaz-Diaz
¡Comienza la cuenta atrás para la IV edición de FisEs Joven!
Este encuentro reúne a jóvenes investigadores en física estadística y áreas afines, fomentando el intercambio y la colaboración desde las primeras etapas de la carrera científica. (1/2)
Reposted by Fernando Diaz-Diaz
Empezamos a anunciar nuestra lista de invitados con 🥁...

Susanna Manrubia, @mncn-csic.bsky.social

Encantados de tenerla en la 4º reunión de la Sociedad Española de Sistemas Complejos!

🗓️ 21-23 enero 2026 |📍Sevilla
✏️Contribuciones abiertas hasta el 30 Oct 2025
🌐 cs3.es/conference-2...
Reposted by Fernando Diaz-Diaz
The 𝗪𝗶𝗻𝘁𝗲𝗿 𝗪𝗼𝗿𝗸𝘀𝗵𝗼𝗽 𝗼𝗻 𝗖𝗼𝗺𝗽𝗹𝗲𝘅 𝗦𝘆𝘀𝘁𝗲𝗺𝘀 (𝗪𝗪𝗖𝗦𝟮𝟲) has extended its hashtag#deadline for applications to 𝗢𝗰𝘁𝗼𝗯𝗲𝗿 𝟭𝟯𝘁𝗵!
For more information 🔗 wwcs2026.github.io
Apply here: tinyurl.com/yu3a8ydd
Reposted by Fernando Diaz-Diaz
🎓 La tesis de Rodrigo Martínez-Peña (Reservoir computing in quantum systems), dirigida por Roberta Zambrini y Miguel C. Soriano (@miguelcsoriano.bsky.social), ha sido premiada en los III Premios #TesisDoctoralRelevante del @csic.es. ¡Enhorabuena!

🔗 ifisc.uib-csic.es/es/news/iii-...
Reposted by Fernando Diaz-Diaz
Ayer tuvimos el honor de celebrar el acto de entrega de la I edición de los Premios DIFENSC de tesis doctorales. ✨❄️

¡Enhorabuena de nuevo a los ganadores Guillermo Barrios Morales y Jorge Tabanera Bravo! 🏅

Gracias a la fundación Sicómoro por hacerlo posible.
Reposted by Fernando Diaz-Diaz
🎤 We’re thrilled to announce our next #WWCS26 speaker: Carmen Cabrera, Lecturer in Geographic Data Science at the University of Liverpool.
Camren's research focuses on human mobility patterns across spatiotemporal scales and population groups. We look forward to meeting her at Mallorca ❄️🌍
This week I travelled to the island of Ons in Galicia. An amazing natural reserve in the middle of the Atlantic. ⛵🗺️
That said, my main reference when thinking about communities is precisely your work on descriptive vs inferential approaches that you mention, so I will probably agree with you on most aspects :)
But at the same time, I think it's nice to keep in mind that there are situations where looking at disconnected components as a extreme case of communities can make sense, especially if the objective of the study is not to analyze data.
I completely agree, mixing two conceptualizations of community can lead to problems, because minimizing cut-sets and maximizing likelihoods are based on very different assumptions.
To be clear, I agree that interpreting community detection as a maximum-likelihood problem is a more powerful approach to understand complex datasets. My point is that, from a mathematical (not statistical) point of view, the other vision can be insightful too.
In fact, I would say the pure-math approach to communities tends to understand them as "almost disconnected" regions (partitions with a small cut-set), and this perspective has led to nice results (for example the Cheeger inequalities, the spectral clustering algorithms, perturbative methods, etc).
I think the interpretation of communities as network partitions with a small cut-set is useful in certain areas. Ofc, claiming that this conceptualization of community is statistically meaningful is problematic, but as a descriptive concept I think it's ok.
It's so frustrating that symmetric graphs always have degenerate spectra. Why do I have to choose between graphs that look nice and graphs that behave properly? I want both :(
Reposted by Fernando Diaz-Diaz
Mediterranean School of Complex Networks

Signed networks to understand social systems by Sofia Teixeira
@mscxnetworks.bsky.social
Reposted by Fernando Diaz-Diaz
It’s happening.
BRAN Lab is here, my first research group.

We explore how and why we connect (and disconnect), using network science, signed networks, ML, and cognitive modeling: from minds to systems, humans to AI, mental health to epidemic prevention.

andreiasofiateixeira.com/branlab/
BRAN Lab
Bridging Minds, Behavior, and Society through Network Science
andreiasofiateixeira.com
After one night in Palma, I am already missing the temperatures in Madrid.
Ojalá un debate entre @lavacaesferica.bsky.social, @juanjosemillas.bsky.social y Arsuaga a raíz de la frase "si no conocemos las interacciones que ocurren en su interior, tampoco seremos capaces de predecir el comportamiento del sistema".
Leyendo a Millás y Arsuaga, me encuentro que las ideas de sistemas complejos han llegado hasta la arqueología y la literatura. Eso sí, la definición de Arsuaga se deja fuera aspectos como la heterogeneidad de las interacciones, la existencia de parámetros irrelevantes en comportamientos macro, etc
Reposted by Fernando Diaz-Diaz
Our next keynote at #Fises2025 is by José Cuesta on entropy and evolutionary dynamics: where Darwin meets Boltzmann. #StatisticalPhysics #EvolutionaryDynamics
Reposted by Fernando Diaz-Diaz
We end the second day of #fises2025 with three contributed talks by Pablo Moreno-Spiegelberg, José Vilar, and Alex Giménez Romero, and an invited talk by Saúl Ares about the physics of bacterial conjugación.
Reposted by Fernando Diaz-Diaz
Good morning from Day 2 of #Fises2025! We begin with a keynote by Cristina Masoller: “Nonlinear data analysis tools for complex systems research”. 🔍📊 #NonlinearDynamics #ComplexSystems