The Impact of Node Addition and Deletion on Network Production Fluctuations
Production networks, dynamic systems of firms linked through input-output relationships, transmit microeconomic shocks into macroeconomic fluctuations. While prior studies often assume static networks, real-world economies feature continuous firm entry (node addition) and exit (node deletion). We develop a probabilistic model to analyze how these dynamics affect production volatility and network resilience. Integrating Leontief input-output frameworks with controllability theory. By quantifying fluctuations as expected values under probabilistic node dynamics, we identify trade-offs between adaptability and stability. Methodologically, we unify Kalman rank criteria and minimum input theory, offering policymakers insights to balance innovation-driven entry with safeguards against destabilizing exits.
Code (0)
등록된 구현이 없습니다.
Similar Papers 제목 키워드 기반
RatGene: Gene deletion-addition algorithms using growth to production ratio for growth-coupled production in constraint-based metabolic networks
In computational metabolic design, it is often necessary to modify the original constraint-based metabolic networks to lead to growth-coupled production, where cell growth forces target metabolite production. However, in…
The evolving networks of debtor-creditor relationships with addition and deletion of nodes: a case of P2P lending
P2P lending activities have grown rapidly and have caused the huge and complex networks of debtor-creditor relationships. The aim of this study was to study the underlying structural characteristics of networks formed by…
Macroeconomic performance of oil price shocks in Russia
Oil price fluctuations severely impact the economies of both oil-exporting and importing countries. High oil prices can benefit oil exporters by increasing foreign currency inflow; however, an economy can suffer from a w…
ATEX-CF: Attack-Informed Counterfactual Explanations for Graph Neural Networks
Counterfactual explanations offer an intuitive way to interpret graph neural networks (GNNs) by identifying minimal changes that alter a model's prediction, thereby answering "what must differ for a different outcome?". …
Explanation GenerationNode ClassificationAdversarial AttackDBgDel: Database-Enhanced Gene Deletion Framework for Growth-Coupled Production in Genome-Scale Metabolic Models
When simulating metabolite productions with genome-scale constraint-based metabolic models, gene deletion strategies are necessary to achieve growth-coupled production, which means cell growth and target metabolite produ…
Computational Efficiency