{"title":"递归图作为信息流分析的方法","authors":"O. Baranovskiy","doi":"10.15550/ASJ.2015.02.045","DOIUrl":null,"url":null,"abstract":"Using the theory of recurrence we obtain recurrence plots for site series which reflects information flows. We research the possibility of using numerical measures of recurrence plots for analysis of information flows. We explain meanings of each measure, such as LL, L, RR, DET, CLEAN, TT, in our case. We have proved the possibility of using these measures as indicators for systems of Internet content-monitoring.","PeriodicalId":403624,"journal":{"name":"The Advanced Science Journal","volume":"80 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Recurrence Plots as Method for Information Flows Analysis\",\"authors\":\"O. Baranovskiy\",\"doi\":\"10.15550/ASJ.2015.02.045\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Using the theory of recurrence we obtain recurrence plots for site series which reflects information flows. We research the possibility of using numerical measures of recurrence plots for analysis of information flows. We explain meanings of each measure, such as LL, L, RR, DET, CLEAN, TT, in our case. We have proved the possibility of using these measures as indicators for systems of Internet content-monitoring.\",\"PeriodicalId\":403624,\"journal\":{\"name\":\"The Advanced Science Journal\",\"volume\":\"80 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-04-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"The Advanced Science Journal\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.15550/ASJ.2015.02.045\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"The Advanced Science Journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.15550/ASJ.2015.02.045","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
利用递归理论,得到了反映信息流的站点序列的递归图。我们研究了用递归图的数值度量来分析信息流的可能性。我们解释每个测量的含义,如LL, L, RR, DET, CLEAN, TT,在我们的例子中。我们已经证明了使用这些措施作为互联网内容监控系统指标的可能性。
Recurrence Plots as Method for Information Flows Analysis
Using the theory of recurrence we obtain recurrence plots for site series which reflects information flows. We research the possibility of using numerical measures of recurrence plots for analysis of information flows. We explain meanings of each measure, such as LL, L, RR, DET, CLEAN, TT, in our case. We have proved the possibility of using these measures as indicators for systems of Internet content-monitoring.