期刊论文详细信息
Applied Network Science
Threshold sensitivity of the production network topology
Research
Dénes Csala1  Eszter Molnár2 
[1] Department of Engineering, Lancaster University, Lancaster, UK;Faculty of Economics and Business Administration, Babeș-Bolyai University, Cluj-Napoca, Romania;Economics Observatory, School of Economics, University of Bristol, Bristol, UK;Department of Engineering, Lancaster University, Lancaster, UK;Material Social Futures Doctoral Training Centre, Lancaster University, Lancaster, UK;Faculty of Economics and Business Administration, Babeș-Bolyai University, Cluj-Napoca, Romania;
关键词: Production network;    Input-output analysis;    Monetary transactions;    Network science;    Threshold;   
DOI  :  10.1007/s41109-023-00599-8
 received in 2023-06-13, accepted in 2023-09-25,  发布年份 2023
来源: Springer
PDF
【 摘 要 】

Industries today are tightly interconnected, necessitating a systematic perspective in understanding the complexity of relations. Employing network science, the literature constructs dense production networks to address this challenge. However, handling this high density involves carefully choosing the level of pruning to retain as much information as possible. Yet, current research lacks comprehensive insight into the extent of distortion the data removal produces in the network structure. Our paper aims to examine how this widespread thresholding method changes the production network’s topology. We do this by studying the network topology and centrality metrics under various thresholds on inter-industry networks derived from the US input-output accounts. We find that altering even minor threshold values significantly reshapes the network’s structure. Core industries serving as hubs are also affected. Hence, research using the production network framework to explain the propagation of local shocks and disturbances should also take into account that even low-value monetary transactions contribute to the interrelatedness and complexity of production networks.

【 授权许可】

CC BY   
© Springer Nature Switzerland AG 2023

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