{"title":"欧盟经济动态的复杂网络解读","authors":"Renata-Graziela Boar, A. Iovanovici, H. Ciocarlie","doi":"10.1109/SAMI.2017.7880303","DOIUrl":null,"url":null,"abstract":"The multitude of events that rapidly take place on the political scene of the whole world have fundamental economic consequences in the development of all countries. Our study combines financial elements which may influence the economic relations that currently exist between the countries of the world and the ones belonging to the European Union in particular. The processing of the high quantity of information is done through complex networks and the graph theory. They reflect the achievement and acceptance of new approaches related to the financial markets, but also to the most important macroeconomic indicator, GDP. Thus, we obtain new tools of analysis through methodological approaches on complex networks which allow numerous geometrical visualizations.","PeriodicalId":105599,"journal":{"name":"2017 IEEE 15th International Symposium on Applied Machine Intelligence and Informatics (SAMI)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Complex network interpretation of European Union economic dynamics\",\"authors\":\"Renata-Graziela Boar, A. Iovanovici, H. Ciocarlie\",\"doi\":\"10.1109/SAMI.2017.7880303\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The multitude of events that rapidly take place on the political scene of the whole world have fundamental economic consequences in the development of all countries. Our study combines financial elements which may influence the economic relations that currently exist between the countries of the world and the ones belonging to the European Union in particular. The processing of the high quantity of information is done through complex networks and the graph theory. They reflect the achievement and acceptance of new approaches related to the financial markets, but also to the most important macroeconomic indicator, GDP. Thus, we obtain new tools of analysis through methodological approaches on complex networks which allow numerous geometrical visualizations.\",\"PeriodicalId\":105599,\"journal\":{\"name\":\"2017 IEEE 15th International Symposium on Applied Machine Intelligence and Informatics (SAMI)\",\"volume\":\"3 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 IEEE 15th International Symposium on Applied Machine Intelligence and Informatics (SAMI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SAMI.2017.7880303\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE 15th International Symposium on Applied Machine Intelligence and Informatics (SAMI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SAMI.2017.7880303","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Complex network interpretation of European Union economic dynamics
The multitude of events that rapidly take place on the political scene of the whole world have fundamental economic consequences in the development of all countries. Our study combines financial elements which may influence the economic relations that currently exist between the countries of the world and the ones belonging to the European Union in particular. The processing of the high quantity of information is done through complex networks and the graph theory. They reflect the achievement and acceptance of new approaches related to the financial markets, but also to the most important macroeconomic indicator, GDP. Thus, we obtain new tools of analysis through methodological approaches on complex networks which allow numerous geometrical visualizations.