{"title":"分析罗马尼亚国内生产总值结构和动态的空间方法","authors":"Renata-Graziela Boar, A. Iovanovici, H. Ciocarlie","doi":"10.1109/SACI.2014.6840072","DOIUrl":null,"url":null,"abstract":"Modern economies are highly dynamical systems with states described by a vast amount of parameters having a lot of uncertainties and in a state of precarious equilibrium. Our research is geared towards applying techniques at the cross roads between econometrics, statistics and graph theory in order to improve the tools for analyzing the key factors that influence the state of the economy as seen through the gross domestic product. The novelty of our approach is characterized by decomposition of the key sectors of the GDP and building a spatial representation of the relationships between them in the form of a complex graph.","PeriodicalId":163447,"journal":{"name":"2014 IEEE 9th IEEE International Symposium on Applied Computational Intelligence and Informatics (SACI)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A spatial approach in analyzing the structure and dynamics of the Romanian GDP\",\"authors\":\"Renata-Graziela Boar, A. Iovanovici, H. Ciocarlie\",\"doi\":\"10.1109/SACI.2014.6840072\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Modern economies are highly dynamical systems with states described by a vast amount of parameters having a lot of uncertainties and in a state of precarious equilibrium. Our research is geared towards applying techniques at the cross roads between econometrics, statistics and graph theory in order to improve the tools for analyzing the key factors that influence the state of the economy as seen through the gross domestic product. The novelty of our approach is characterized by decomposition of the key sectors of the GDP and building a spatial representation of the relationships between them in the form of a complex graph.\",\"PeriodicalId\":163447,\"journal\":{\"name\":\"2014 IEEE 9th IEEE International Symposium on Applied Computational Intelligence and Informatics (SACI)\",\"volume\":\"14 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-06-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 IEEE 9th IEEE International Symposium on Applied Computational Intelligence and Informatics (SACI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SACI.2014.6840072\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE 9th IEEE International Symposium on Applied Computational Intelligence and Informatics (SACI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SACI.2014.6840072","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A spatial approach in analyzing the structure and dynamics of the Romanian GDP
Modern economies are highly dynamical systems with states described by a vast amount of parameters having a lot of uncertainties and in a state of precarious equilibrium. Our research is geared towards applying techniques at the cross roads between econometrics, statistics and graph theory in order to improve the tools for analyzing the key factors that influence the state of the economy as seen through the gross domestic product. The novelty of our approach is characterized by decomposition of the key sectors of the GDP and building a spatial representation of the relationships between them in the form of a complex graph.