Network reslience and systemic risk. Methodological approaches to address network resilience

Wildemeersch M, Strelkovskii N, Poledna S, & Leduc M (2016). Network reslience and systemic risk. Methodological approaches to address network resilience. In: European Meetings on Cybernetics and Systems Research, 30 March-1 April 2016, Vienna.

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Abstract

In the context of social systems, diffusion processes are used to model opinion dynamics in large-scale networks. We focus on a scenario where a set of agents has constant opinion, so-called stubborn agents, and show their impact on the final opinion formation. In the context of natural-social systems, several examples will be presented to give an overview of the range of tools used in the analysis of network resilience. For instance, the resilience of national and regional economies will be explored by analyzing the impact of extreme, low-probability and high-impact scenarios of external shocks. The behavior of the considered interconnected systems is too complex to be modeled by traditional tools, and therefore, several examples with qualitative (e.g. soft systems mapping) and quantitative (e.g. agent-based modeling) methods and approaches will be presented.

Item Type: Conference or Workshop Item (Paper)
Research Programs: Advanced Systems Analysis (ASA)
Depositing User: Luke Kirwan
Date Deposited: 21 Dec 2016 13:38
Last Modified: 21 Dec 2016 13:38
URI: http://pure.iiasa.ac.at/14168

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