SKM 2023 – wissenschaftliches Programm

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DY: Fachverband Dynamik und Statistische Physik

DY 20: Networks: From Topology to Dynamics I (joint session SOE/DY)

DY 20.5: Vortrag

Dienstag, 28. März 2023, 12:00–12:15, ZEU 260

Information parity to measure the consonance of influence in complex networks — Aline Viol¹ and •Philipp Hövel² — ¹Scuola Internazionale Superiore di Studi Avanzati, Italy — ²Christians-Albrechts-Universität zu Kiel, Germany

We discuss a new analytical tool to quantify the consonance of influence between nodes with respect to the whole network architecture: information parity. Unlike traditional approaches to quantitative network analysis that consider only local or global scales, information parity instead quantifies pairwise statistical similarities over the entire network structure. Based on information theory and using the statistics of geodesic distances, information parity assesses how similarly a pair of nodes can influence and be influenced by the network. This allows us to quantify the access of information gathered by the nodes. To demonstrate the method’s potential, we evaluate a social network and human brain networks. Our results indicate that emerging phenomena like an ideological orientation of nodes in social networks can be shaped by their information parities. We also show the potential of information parity to identify central network regions in structural brain networks placed near the mid-sagittal plane. We find that functional networks have, on average, greater information parity for inter-hemispheric homologous regions in comparison to the whole network. Finally, we explore functional brain networks under influence of a psychedelic substance.