Por Andreia Sofia Teixeira (Network Science Institute, NUL, LASIGE).
Social systems can be turbulent at the individual connections level yet stable in their large-scale organization. Through a signed-network lens, I will show how to make this tension measurable. First, I will introduce a multiscale approach to structural balance that quantifies polarization across resolutions - from the micro to macro scales - and how we can use it to track and predict conflict over time. Then, using longitudinal data from high schools in Spain, I will show that despite high tie turnover, macro properties remain remarkably stable, indicating dynamical equilibrium. From theory to empirical evidence, we will discuss implications for monitoring and intervention.
Short Bio: Andreia Sofia Teixeira is an Associate Professor at the Network Science Institute, Northeastern University London, where she leads the BRAN Lab (Behavioral Research and Adaptive Networks), and a Researcher Affiliate at LASIGE. Her research sits at the intersection of Network Science and Machine Learning, developing computational models and simulation frameworks to understand complex systems across biological, social, and mental health domains. She studies collective behavior, neurodegenerative and neuropsychiatric disorders, and how affective relationships shape our environment. Her work spans computational social sciences, evolutionary dynamics, network neuroscience, computational cognitive sciences, and epidemiology.
