{"title":"基于研究趋势相似度和引文关系的出版场所相关性研究","authors":"Tomoya Nishide, Marie Katsurai","doi":"10.1109/JCDL52503.2021.00047","DOIUrl":null,"url":null,"abstract":"This paper presents a novel tool that finds the relevance between publication venues to foster opportunities for collaboration development. When a user inputs a publication venue name related to the user's research field, our tool first shows several relevant publication venues using results of citation network analysis. After the user selects one of those, our tool shows the trend information for each venue as well as the common keywords between the two venues.","PeriodicalId":112400,"journal":{"name":"2021 ACM/IEEE Joint Conference on Digital Libraries (JCDL)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Finding the Relevance Between Publication Venues Based on Research Trend Similarity and Citation Relationships\",\"authors\":\"Tomoya Nishide, Marie Katsurai\",\"doi\":\"10.1109/JCDL52503.2021.00047\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a novel tool that finds the relevance between publication venues to foster opportunities for collaboration development. When a user inputs a publication venue name related to the user's research field, our tool first shows several relevant publication venues using results of citation network analysis. After the user selects one of those, our tool shows the trend information for each venue as well as the common keywords between the two venues.\",\"PeriodicalId\":112400,\"journal\":{\"name\":\"2021 ACM/IEEE Joint Conference on Digital Libraries (JCDL)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 ACM/IEEE Joint Conference on Digital Libraries (JCDL)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/JCDL52503.2021.00047\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 ACM/IEEE Joint Conference on Digital Libraries (JCDL)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/JCDL52503.2021.00047","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Finding the Relevance Between Publication Venues Based on Research Trend Similarity and Citation Relationships
This paper presents a novel tool that finds the relevance between publication venues to foster opportunities for collaboration development. When a user inputs a publication venue name related to the user's research field, our tool first shows several relevant publication venues using results of citation network analysis. After the user selects one of those, our tool shows the trend information for each venue as well as the common keywords between the two venues.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
