{"title":"Petri网中网络中心性的测量","authors":"R. Davidrajuh, Chunming Rong","doi":"10.1109/AMCON.2018.8615009","DOIUrl":null,"url":null,"abstract":"Network Centrality (NC) is for the analysis of static network to find out to which degree an element is central to a network. This paper presents three NC functions that are newly added to the simulator General-purpose Petri Net Simulator (GPenSIM). With these new functions, in addition to the usual performance analysis of a discrete-event system via a Petri net model, supplementary information about NC of the elements can also be found, paving an overall (static + dynamic) analysis of the system.","PeriodicalId":438307,"journal":{"name":"2018 IEEE International Conference on Advanced Manufacturing (ICAM)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Measuring Network Centrality in Petri Nets\",\"authors\":\"R. Davidrajuh, Chunming Rong\",\"doi\":\"10.1109/AMCON.2018.8615009\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Network Centrality (NC) is for the analysis of static network to find out to which degree an element is central to a network. This paper presents three NC functions that are newly added to the simulator General-purpose Petri Net Simulator (GPenSIM). With these new functions, in addition to the usual performance analysis of a discrete-event system via a Petri net model, supplementary information about NC of the elements can also be found, paving an overall (static + dynamic) analysis of the system.\",\"PeriodicalId\":438307,\"journal\":{\"name\":\"2018 IEEE International Conference on Advanced Manufacturing (ICAM)\",\"volume\":\"52 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 IEEE International Conference on Advanced Manufacturing (ICAM)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/AMCON.2018.8615009\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE International Conference on Advanced Manufacturing (ICAM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AMCON.2018.8615009","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Network Centrality (NC) is for the analysis of static network to find out to which degree an element is central to a network. This paper presents three NC functions that are newly added to the simulator General-purpose Petri Net Simulator (GPenSIM). With these new functions, in addition to the usual performance analysis of a discrete-event system via a Petri net model, supplementary information about NC of the elements can also be found, paving an overall (static + dynamic) analysis of the system.
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