{"title":"估计子图生成模型以理解大型网络的形成","authors":"L. Bogaardt, Frank W. Takes","doi":"10.1109/eScience.2018.00106","DOIUrl":null,"url":null,"abstract":"Recently, a new network formation model was proposed: SUGM. Our research looks into a method to estimate the parameters of this model based on the subgraph census.","PeriodicalId":6476,"journal":{"name":"2018 IEEE 14th International Conference on e-Science (e-Science)","volume":"70 1","pages":"375-376"},"PeriodicalIF":0.0000,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Estimating Subgraph Generation Models to Understand Large Network Formation\",\"authors\":\"L. Bogaardt, Frank W. Takes\",\"doi\":\"10.1109/eScience.2018.00106\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Recently, a new network formation model was proposed: SUGM. Our research looks into a method to estimate the parameters of this model based on the subgraph census.\",\"PeriodicalId\":6476,\"journal\":{\"name\":\"2018 IEEE 14th International Conference on e-Science (e-Science)\",\"volume\":\"70 1\",\"pages\":\"375-376\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 IEEE 14th International Conference on e-Science (e-Science)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/eScience.2018.00106\",\"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 14th International Conference on e-Science (e-Science)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/eScience.2018.00106","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Estimating Subgraph Generation Models to Understand Large Network Formation
Recently, a new network formation model was proposed: SUGM. Our research looks into a method to estimate the parameters of this model based on the subgraph census.
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