{"title":"研究贡献作为影响的衡量标准","authors":"Lais M. A. Rocha, Mirella M. Moro","doi":"10.1145/2882903.2914834","DOIUrl":null,"url":null,"abstract":"We propose the 3c-index that measures the influence degree of researchers by evaluating the links they establish between communities. We evaluate its performance against well known metrics. The results show 3c-index outperforms them in most cases and can be employed as a complementary metric to assess researchers' productivity.","PeriodicalId":20483,"journal":{"name":"Proceedings of the 2016 International Conference on Management of Data","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2016-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Research Contribution as a Measure of Influence\",\"authors\":\"Lais M. A. Rocha, Mirella M. Moro\",\"doi\":\"10.1145/2882903.2914834\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We propose the 3c-index that measures the influence degree of researchers by evaluating the links they establish between communities. We evaluate its performance against well known metrics. The results show 3c-index outperforms them in most cases and can be employed as a complementary metric to assess researchers' productivity.\",\"PeriodicalId\":20483,\"journal\":{\"name\":\"Proceedings of the 2016 International Conference on Management of Data\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-06-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2016 International Conference on Management of Data\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2882903.2914834\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2016 International Conference on Management of Data","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2882903.2914834","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
We propose the 3c-index that measures the influence degree of researchers by evaluating the links they establish between communities. We evaluate its performance against well known metrics. The results show 3c-index outperforms them in most cases and can be employed as a complementary metric to assess researchers' productivity.
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