{"title":"公交系统罢工的熵分析","authors":"M. Gaudiano, Carlos M. Lucca, J. Revelli","doi":"10.1142/s0219525922500023","DOIUrl":null,"url":null,"abstract":"In this work, we study the hierarchical properties observed in temporal patterns of public transport strike records of Córdoba city, Argentina. We show how a previously developed entropy-based methodology can be applied here to unveil different strike regimes, to which particular political uncontrollability degrees can be naturally associated. From data analysis, a successive increment in the uncontrollability of the public transport system can be quantitatively inferred. The proposed analysis turns out to be easily generalizable to other contexts, providing a theoretical framework for contrasting the intensity of the strikes, independently of its nature, city and/or historical time.","PeriodicalId":50871,"journal":{"name":"Advances in Complex Systems","volume":"43 1","pages":"2250002:1-2250002:15"},"PeriodicalIF":0.7000,"publicationDate":"2022-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Entropic Analysis of Public transport System Strikes\",\"authors\":\"M. Gaudiano, Carlos M. Lucca, J. Revelli\",\"doi\":\"10.1142/s0219525922500023\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this work, we study the hierarchical properties observed in temporal patterns of public transport strike records of Córdoba city, Argentina. We show how a previously developed entropy-based methodology can be applied here to unveil different strike regimes, to which particular political uncontrollability degrees can be naturally associated. From data analysis, a successive increment in the uncontrollability of the public transport system can be quantitatively inferred. The proposed analysis turns out to be easily generalizable to other contexts, providing a theoretical framework for contrasting the intensity of the strikes, independently of its nature, city and/or historical time.\",\"PeriodicalId\":50871,\"journal\":{\"name\":\"Advances in Complex Systems\",\"volume\":\"43 1\",\"pages\":\"2250002:1-2250002:15\"},\"PeriodicalIF\":0.7000,\"publicationDate\":\"2022-03-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Advances in Complex Systems\",\"FirstCategoryId\":\"100\",\"ListUrlMain\":\"https://doi.org/10.1142/s0219525922500023\",\"RegionNum\":4,\"RegionCategory\":\"数学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"MATHEMATICS, INTERDISCIPLINARY APPLICATIONS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advances in Complex Systems","FirstCategoryId":"100","ListUrlMain":"https://doi.org/10.1142/s0219525922500023","RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"MATHEMATICS, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
Entropic Analysis of Public transport System Strikes
In this work, we study the hierarchical properties observed in temporal patterns of public transport strike records of Córdoba city, Argentina. We show how a previously developed entropy-based methodology can be applied here to unveil different strike regimes, to which particular political uncontrollability degrees can be naturally associated. From data analysis, a successive increment in the uncontrollability of the public transport system can be quantitatively inferred. The proposed analysis turns out to be easily generalizable to other contexts, providing a theoretical framework for contrasting the intensity of the strikes, independently of its nature, city and/or historical time.
期刊介绍:
Advances in Complex Systems aims to provide a unique medium of communication for multidisciplinary approaches, either empirical or theoretical, to the study of complex systems. The latter are seen as systems comprised of multiple interacting components, or agents. Nonlinear feedback processes, stochastic influences, specific conditions for the supply of energy, matter, or information may lead to the emergence of new system qualities on the macroscopic scale that cannot be reduced to the dynamics of the agents. Quantitative approaches to the dynamics of complex systems have to consider a broad range of concepts, from analytical tools, statistical methods and computer simulations to distributed problem solving, learning and adaptation. This is an interdisciplinary enterprise.