SKM 2023 – wissenschaftliches Programm

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SOE: Fachverband Physik sozio-ökonomischer Systeme

SOE 4: Poster

SOE 4.4: Poster

Montag, 27. März 2023, 17:00–19:00, P2/OG2

Impact of interactions between layers on source localization in multilayer networks — Robert Paluch, Łukasz Gajewski, •Krzysztof Suchecki, and Janusz Hołyst — Faculty of Physics, Warsaw University of Technology, Koszykowa 75, Warsaw, 00-662, Poland

Nowadays, it is not uncommon to have to deal with dissemination on multilayered networks, and often finding the source of said propagation can be a crucial task. We examine the issue of locating the source of Susceptible-Infected spreading process in a multilayer network using the Bayesian inference and the maximum likelihood method established for general networks and adapted here to cover multilayer topology. We show how its accuracy depends on the network and spreading parameters and find the existence of two parameter ranges with different behavior. If the inter-network spreading rate is low, observations in different layers interfere, lowering accuracy below that of relying on single-layer observers only. If it is high, on the other hand, observations synergize, raising accuracy above the level of a single-layer network of the same size and observer density. We also show a heuristic method to determine the case in a system and potentially improve accuracy by rejecting interfering observations.