{"title":"面向质量提升:课程链接网络分析","authors":"Júlia Góth, Boldizsar Lipka, Patrik Menyhart","doi":"10.1109/CISTI.2016.7521591","DOIUrl":null,"url":null,"abstract":"Network science is a relatively new yet widely researched discipline using network paradigm and a graph theoretic approach. This paper investigates web mining techniques as information retrieval methods, as well as network science paradigm to develop an information retrieval and network analysis system for mapping and visualizing the connections between courses, in order to improve the quality of education.","PeriodicalId":339556,"journal":{"name":"2016 11th Iberian Conference on Information Systems and Technologies (CISTI)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Towards quality improvement: Link network analysis of courses\",\"authors\":\"Júlia Góth, Boldizsar Lipka, Patrik Menyhart\",\"doi\":\"10.1109/CISTI.2016.7521591\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Network science is a relatively new yet widely researched discipline using network paradigm and a graph theoretic approach. This paper investigates web mining techniques as information retrieval methods, as well as network science paradigm to develop an information retrieval and network analysis system for mapping and visualizing the connections between courses, in order to improve the quality of education.\",\"PeriodicalId\":339556,\"journal\":{\"name\":\"2016 11th Iberian Conference on Information Systems and Technologies (CISTI)\",\"volume\":\"55 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-06-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 11th Iberian Conference on Information Systems and Technologies (CISTI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CISTI.2016.7521591\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 11th Iberian Conference on Information Systems and Technologies (CISTI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CISTI.2016.7521591","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Towards quality improvement: Link network analysis of courses
Network science is a relatively new yet widely researched discipline using network paradigm and a graph theoretic approach. This paper investigates web mining techniques as information retrieval methods, as well as network science paradigm to develop an information retrieval and network analysis system for mapping and visualizing the connections between courses, in order to improve the quality of education.
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