{"title":"移动网络分析的网络科学算法","authors":"H. Elgazzar, Adel Said Elmaghraby","doi":"10.1109/SECON.2017.7925320","DOIUrl":null,"url":null,"abstract":"This paper introduces network science algorithms that can be used to study and analyze mobile networks. This can provide essential information and knowledge that can help mobile networks service providers to enhance the quality of the mobile services. We focus in this paper on the design and analysis of different evolutionary clustering algorithms that can be used to analyze the dynamics of mobile networks","PeriodicalId":368197,"journal":{"name":"SoutheastCon 2017","volume":"54 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Network science algorithms for mobile network analytics\",\"authors\":\"H. Elgazzar, Adel Said Elmaghraby\",\"doi\":\"10.1109/SECON.2017.7925320\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper introduces network science algorithms that can be used to study and analyze mobile networks. This can provide essential information and knowledge that can help mobile networks service providers to enhance the quality of the mobile services. We focus in this paper on the design and analysis of different evolutionary clustering algorithms that can be used to analyze the dynamics of mobile networks\",\"PeriodicalId\":368197,\"journal\":{\"name\":\"SoutheastCon 2017\",\"volume\":\"54 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"SoutheastCon 2017\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SECON.2017.7925320\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"SoutheastCon 2017","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SECON.2017.7925320","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Network science algorithms for mobile network analytics
This paper introduces network science algorithms that can be used to study and analyze mobile networks. This can provide essential information and knowledge that can help mobile networks service providers to enhance the quality of the mobile services. We focus in this paper on the design and analysis of different evolutionary clustering algorithms that can be used to analyze the dynamics of mobile networks