电子邮件社交网络局部拓扑结构演化模式研究

2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology Pub Date : 2011-08-22 DOI:10.1109/WI-IAT.2011.21

K. Juszczyszyn, Wojciech Frys

{"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}

引用次数: 1

摘要

我们提出了一种量化电子邮件社交网络变化的新方法(由安然数据集的数据说明)。定义了包含三元组之间转移概率的三元组转移矩阵，然后我们展示了它如何帮助发现网络演化的动态模式。讨论了TTM方法与现有的局部拓扑(网络基元)表征方法的兼容性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

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.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology

自引率

0.00%

发文量