<mets:mets OBJID="eprint_14168" LABEL="Eprints Item" xsi:schemaLocation="http://www.loc.gov/METS/ http://www.loc.gov/standards/mets/mets.xsd http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-3.xsd" xmlns:mets="http://www.loc.gov/METS/" xmlns:mods="http://www.loc.gov/mods/v3" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"><mets:metsHdr CREATEDATE="2024-01-01T20:36:41Z"><mets:agent ROLE="CUSTODIAN" TYPE="ORGANIZATION"><mets:name>IIASA Repository</mets:name></mets:agent></mets:metsHdr><mets:dmdSec ID="DMD_eprint_14168_mods"><mets:mdWrap MDTYPE="MODS"><mets:xmlData><mods:titleInfo><mods:title>Network reslience and systemic risk. Methodological approaches to address network resilience</mods:title></mods:titleInfo><mods:name type="personal"><mods:namePart type="given">M.</mods:namePart><mods:namePart type="family">Wildemeersch</mods:namePart><mods:role><mods:roleTerm type="text">author</mods:roleTerm></mods:role></mods:name><mods:name type="personal"><mods:namePart type="given">N.</mods:namePart><mods:namePart type="family">Strelkovskii</mods:namePart><mods:role><mods:roleTerm type="text">author</mods:roleTerm></mods:role></mods:name><mods:name type="personal"><mods:namePart type="given">S.</mods:namePart><mods:namePart type="family">Poledna</mods:namePart><mods:role><mods:roleTerm type="text">author</mods:roleTerm></mods:role></mods:name><mods:name type="personal"><mods:namePart type="given">M.</mods:namePart><mods:namePart type="family">Leduc</mods:namePart><mods:role><mods:roleTerm type="text">author</mods:roleTerm></mods:role></mods:name><mods: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.</mods:abstract><mods:originInfo><mods:dateIssued encoding="iso8601">2016-03-30</mods:dateIssued></mods:originInfo><mods:genre>Conference or Workshop Item</mods:genre></mets:xmlData></mets:mdWrap></mets:dmdSec><mets:amdSec ID="TMD_eprint_14168"><mets:rightsMD ID="rights_eprint_14168_mods"><mets:mdWrap MDTYPE="MODS"><mets:xmlData><mods:useAndReproduction>
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