量化社会网络动态

2012 Fourth International Conference on Computational Aspects of Social Networks (CASoN) Pub Date : 2012-11-01 DOI:10.1109/CASoN.2012.6412380

Radosław Michalski, Piotr Bródka, Przemyslaw Kazienko, K. Juszczyszyn

{"title":"量化社会网络动态","authors":"Radosław Michalski, Piotr Bródka, Przemyslaw Kazienko, K. Juszczyszyn","doi":"10.1109/CASoN.2012.6412380","DOIUrl":null,"url":null,"abstract":"The dynamic character of most social networks requires to model evolution of networks in order to enable complex analysis of theirs dynamics. The following paper focuses on the definition of differences between network snapshots by means of Graph Differential Tuple. These differences enable to calculate the diverse distance measures as well as to investigate the speed of changes. Four separate measures are suggested in the paper with experimental study on real social network data.","PeriodicalId":431370,"journal":{"name":"2012 Fourth International Conference on Computational Aspects of Social Networks (CASoN)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Quantifying social network dynamics\",\"authors\":\"Radosław Michalski, Piotr Bródka, Przemyslaw Kazienko, K. Juszczyszyn\",\"doi\":\"10.1109/CASoN.2012.6412380\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The dynamic character of most social networks requires to model evolution of networks in order to enable complex analysis of theirs dynamics. The following paper focuses on the definition of differences between network snapshots by means of Graph Differential Tuple. These differences enable to calculate the diverse distance measures as well as to investigate the speed of changes. Four separate measures are suggested in the paper with experimental study on real social network data.\",\"PeriodicalId\":431370,\"journal\":{\"name\":\"2012 Fourth International Conference on Computational Aspects of Social Networks (CASoN)\",\"volume\":\"45 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 Fourth International Conference on Computational Aspects of Social Networks (CASoN)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CASoN.2012.6412380\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 Fourth International Conference on Computational Aspects of Social Networks (CASoN)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CASoN.2012.6412380","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 5

摘要

大多数社会网络的动态特性要求对网络的演化进行建模，以便对其动态进行复杂的分析。下面的文章重点讨论了用图差分元组(Graph Differential Tuple)来定义网络快照之间的差异。这些差异使我们能够计算不同的距离度量以及研究变化的速度。本文通过对真实社会网络数据的实验研究，提出了四种独立的度量方法。

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

Quantifying social network dynamics

The dynamic character of most social networks requires to model evolution of networks in order to enable complex analysis of theirs dynamics. The following paper focuses on the definition of differences between network snapshots by means of Graph Differential Tuple. These differences enable to calculate the diverse distance measures as well as to investigate the speed of changes. Four separate measures are suggested in the paper with experimental study on real social network data.

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

2012 Fourth International Conference on Computational Aspects of Social Networks (CASoN)

自引率

0.00%

发文量