{"title":"一个评价体系:一步超越DTN的痕迹","authors":"A. Goldman, P. Floriano","doi":"10.1145/2414393.2414401","DOIUrl":null,"url":null,"abstract":"The applications for dynamic networks are growing every day, and thus, so is the number of studies on them. An important part of such studies is the generation of results through simulation and comparison with other works. We propose a tool for performing such comparisons not with other arbitrary data, but with the optimal results in a given network, obtained by building its corresponding evolving graph and performing various calculations on top of it.","PeriodicalId":200060,"journal":{"name":"Extreme Conference on Communication","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An evaluation system: a step beyond DTN traces\",\"authors\":\"A. Goldman, P. Floriano\",\"doi\":\"10.1145/2414393.2414401\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The applications for dynamic networks are growing every day, and thus, so is the number of studies on them. An important part of such studies is the generation of results through simulation and comparison with other works. We propose a tool for performing such comparisons not with other arbitrary data, but with the optimal results in a given network, obtained by building its corresponding evolving graph and performing various calculations on top of it.\",\"PeriodicalId\":200060,\"journal\":{\"name\":\"Extreme Conference on Communication\",\"volume\":\"18 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-09-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Extreme Conference on Communication\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2414393.2414401\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Extreme Conference on Communication","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2414393.2414401","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The applications for dynamic networks are growing every day, and thus, so is the number of studies on them. An important part of such studies is the generation of results through simulation and comparison with other works. We propose a tool for performing such comparisons not with other arbitrary data, but with the optimal results in a given network, obtained by building its corresponding evolving graph and performing various calculations on top of it.