🚀 Second day at the Conference on Complex Systems @ConfCompSys at @BinghamtonU! 🔹 I presented our work on "Occupational Networks: Labor Market Structure and Gender Gap in Argentina", conducted together with Joaquín Carrascosa, Aaron Bernal Huanca, and @VSemesh @Netlab_IIEP. 🔹 I also had the pleasure of chairing the session "Temporal Structure, Coordination, and Mobility in Dynamic Networks", featuring five very interesting presentations: - Modeling Seismicity with Hybrid Time-Window Networks: Integrating Temporal and Magnitude Information — Jennifer Ribeiro Silvério da Conceição - Revealing Global Seismic Patterns through Temporal Multiplex Earthquake Networks — Jennifer Ribeiro Silvério da Conceição - Joint Agency and Topological Resilience in Strategic Anti-Coordination Networks — @ChiaraMocenni - Turn-Level Modeling of Dyadic Emotional Coordination via Time-Lagged Cross-Correlation — Jensine Wagner - Hybrid Work and the Restructuring of Urban Mobility in U.S. Cities — @Martikagv Many thanks to all the speakers for their engaging presentations and the stimulating discussions! 🌳 To round off the day, I had the opportunity to explore the beautiful nature preserve right on the Binghamton University campus! 😊 #CCS2026 #ComplexSystems #NetworkScience #ITBA

🌍 The Shrinking Globe Happy to share that I will be participating in the International Conference on Social Computing (ICSC) at the @UniofOxford, September 2–4. I will present our paper: “The Shrinking Globe: Structural Evolution and Globalization of the International Migration Network (1990–2024)” Joint work with Viktoriya Semeshenko @VSemesh from @Netlab_IIEP @IIEP_oficial, Alejandro Blasco, Marco Canero, Evangelina Iodice, and Juan Manuel Rodríguez Miguel. We analyze how the global migration system has evolved over the past 35 years, using data from the UN International Migrant Stock and modeling migration as a directed, weighted network connecting countries through origin–destination flows. Using Network Science, we study the topology of the global migration network, its community structure and centrality, and explore four major drivers of international migration: geographic proximity, cultural and linguistic affinity, economic asymmetry, and forced migration. 🔹 Our results point to a progressively more globalized migration system: regional communities persist, but become less cohesive over time. 🔹 Migration corridors increasingly cross traditional regional boundaries, while geographic proximity becomes relatively less important. 🔹 Linguistic similarity emerges as the most stable and consistent cultural factor throughout the entire 1990–2024 period. 🔹 Forced migration is the strongest structural exception: during political and humanitarian crises, geography regains prominence, driving large-scale displacement toward neighboring countries regardless of other factors. Looking forward to discussing these results in Oxford and connecting with researchers working in Network Science and Computational Social Science! #ICSC2026 #NetworkScience #ComplexNetworks