{"title":"基于微软学术图的计算机科学研究方向趋势分析","authors":"Hongwu Qin, Juntao Zeng, Xiuqin Ma","doi":"10.1145/3448734.3450470","DOIUrl":null,"url":null,"abstract":"The field of computer science and its derived 34 research directions have developed dynamically and rapidly in recent decades, but the development trend and potential correlation of each research directions have not been well studied. Based on the Microsoft Academic Graph dataset, this paper obtained 13,126,576 pieces of academic data related to the computer science field from 1995 to 2019, and proposed an algorithm to identify the research directions of the paper. Finally, we obtained the number of papers in each research direction under the computer science over the years through bibliometrics and conducted trend analysis and correlation analysis.","PeriodicalId":105999,"journal":{"name":"The 2nd International Conference on Computing and Data Science","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Trend Analysis of Research Direction in Computer Science Based on Microsoft Academic Graph\",\"authors\":\"Hongwu Qin, Juntao Zeng, Xiuqin Ma\",\"doi\":\"10.1145/3448734.3450470\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The field of computer science and its derived 34 research directions have developed dynamically and rapidly in recent decades, but the development trend and potential correlation of each research directions have not been well studied. Based on the Microsoft Academic Graph dataset, this paper obtained 13,126,576 pieces of academic data related to the computer science field from 1995 to 2019, and proposed an algorithm to identify the research directions of the paper. Finally, we obtained the number of papers in each research direction under the computer science over the years through bibliometrics and conducted trend analysis and correlation analysis.\",\"PeriodicalId\":105999,\"journal\":{\"name\":\"The 2nd International Conference on Computing and Data Science\",\"volume\":\"15 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-01-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"The 2nd International Conference on Computing and Data Science\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3448734.3450470\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"The 2nd International Conference on Computing and Data Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3448734.3450470","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Trend Analysis of Research Direction in Computer Science Based on Microsoft Academic Graph
The field of computer science and its derived 34 research directions have developed dynamically and rapidly in recent decades, but the development trend and potential correlation of each research directions have not been well studied. Based on the Microsoft Academic Graph dataset, this paper obtained 13,126,576 pieces of academic data related to the computer science field from 1995 to 2019, and proposed an algorithm to identify the research directions of the paper. Finally, we obtained the number of papers in each research direction under the computer science over the years through bibliometrics and conducted trend analysis and correlation analysis.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
