2019/05/29 by Chulwook Park, Park, Chulwook
Biochemistry, Genetics and Molecular Biology · Environmental Science · Social Sciences · #Ecosystem dynamics and resilience #Evolution and Genetic Dynamics #Evolutionary Game Theory and Cooperation #FOS: Computer and information sciences #FOS: Economics and business #General Finance (q-fin.GN) #Social and Information Networks (cs.SI)
paper · pdf · doi:10.48550/arxiv.1907.11622
openalex publication_date 2019/05/29 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
The dynamics of protection processes has been a fundamental challenge in\nsystemic risk analysis. The conceptual principle and methodological techniques\nbehind the mechanisms involved [in such dynamics] have been harder to grasp\nthan researchers understood them to be. In this paper, we show how to construct\na large variety of behaviors by applying a simple algorithm to networked\nagents, which could, conceivably, offer a straightforward way out of the\ncomplexity. The model starts with the probability that systemic risk spreads.\nEven in a very random social structure, the propagation of risk is guaranteed\nby an arbitrary network property of a set of elements. Despite intensive\nsystemic risk, the potential of the absence of failure could also be driven\nwhen there has been a strong investment in protection through a heuristically\nevolved protection level. It is very interesting to discover that many\napplications are still seeking the mechanisms through which networked\nindividuals build many of these protection process or mechanisms based on\nfitness due to evolutionary drift. Our implementation still needs to be\npolished against what happens in the real world, but in general, the approach\ncould be useful for researchers and those who need to use protection dynamics\nto guard against systemic risk under intrinsic randomness in artificial\ncircumstances.\n