{"title":"电子邮件社交网络局部拓扑结构演化模式研究","authors":"K. Juszczyszyn, Wojciech Frys","doi":"10.1109/WI-IAT.2011.21","DOIUrl":null,"url":null,"abstract":"We present a new approach to the quantifying changes in an email social network illustrated by the data from the Enron dataset). The Triad Transition Matrix containing the probabilities of transitions between triads is defined, then we show how it can help to discover the dynamic patterns of network evolution. The compatibility of the TTM approach with the existing methods of characterizing the local topology (network motifs) is discussed as well.","PeriodicalId":128421,"journal":{"name":"2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Discovering the Evolutionary Patterns in Local Topology of an E-Mail Social Network\",\"authors\":\"K. Juszczyszyn, Wojciech Frys\",\"doi\":\"10.1109/WI-IAT.2011.21\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We present a new approach to the quantifying changes in an email social network illustrated by the data from the Enron dataset). The Triad Transition Matrix containing the probabilities of transitions between triads is defined, then we show how it can help to discover the dynamic patterns of network evolution. The compatibility of the TTM approach with the existing methods of characterizing the local topology (network motifs) is discussed as well.\",\"PeriodicalId\":128421,\"journal\":{\"name\":\"2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology\",\"volume\":\"16 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-08-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WI-IAT.2011.21\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WI-IAT.2011.21","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Discovering the Evolutionary Patterns in Local Topology of an E-Mail Social Network
We present a new approach to the quantifying changes in an email social network illustrated by the data from the Enron dataset). The Triad Transition Matrix containing the probabilities of transitions between triads is defined, then we show how it can help to discover the dynamic patterns of network evolution. The compatibility of the TTM approach with the existing methods of characterizing the local topology (network motifs) is discussed as well.
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