Berlin 2018 – wissenschaftliches Programm

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SOE: Fachverband Physik sozio-ökonomischer Systeme

SOE 6: Award Session: Young Scientist Award for Socio- and Econophysics (YSA)

SOE 6.2: Preisträgervortrag

Montag, 12. März 2018, 16:00–16:45, MA 001

Network science beyond networks: Information flow models for social and biological systems — •Martin Rosvall — Umeå University, Sweden

To counteract pandemics or comprehend the flows of ideas through social systems, researchers use network flow models. In practice, network flow models have implied memoryless first-order Markov chains on standard networks. However, this conventional approach ignores that the flow direction often depends on more than a single step, that is, where the flows come from or the state of the system. Recent evidence suggests that such higher-order information about real flow pathways is critical for capturing all-important phenomena in the dynamics and function of the system. This evidence exposes a shortcoming of conventional approaches and raises a major scientific question: How can we comprehend the higher-order effects of flow pathways in a barrage of data to understand the continuously changing organization of social and biological systems? In my talk, I will present our work on multilayer and memory networks, which balances under- and overfitting of temporal interaction data with model selection techniques. These techniques allow us to take advantage of today’s data explosion for revealing important organizational structures in complex systems and make it possible to address applied research questions in new ways.