{"title":"网络项目中的行动者中心性与科学绩效:一项探索性研究","authors":"André Luiz Lemes Alarcão , Mário Sacomano Neto","doi":"10.1016/j.rai.2016.03.002","DOIUrl":null,"url":null,"abstract":"<div><p>This study analyzed the relationship between actor centrality of Network Projects and scientific productivity performance using a method known as Social Network Analysis. Social Network Analysis and its respective properties are able to analyze actors’ positions in the structure and existing social interactions in networks. Thus, this method generates indicators to understand the format of collaborative structures of projects and their respective performances in scientific productivity. In order to carry out this proposal, models for multimodal analysis were used, taking into consideration different centrality measures. The behavior of centrality metrics has proven to be significantly different for analyses. Furthermore, the correlations between these metrics and scientific productivity performance have shown to be important in achieving project goals. This shows that the more centrality there is, the greater the chance the project has to achieve its goals.</p></div>","PeriodicalId":101056,"journal":{"name":"RAI Revista de Administra??o e Inova??o","volume":"13 2","pages":"Pages 78-88"},"PeriodicalIF":0.0000,"publicationDate":"2016-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.rai.2016.03.002","citationCount":"10","resultStr":"{\"title\":\"Actor centrality in Network Projects and scientific performance: an exploratory study\",\"authors\":\"André Luiz Lemes Alarcão , Mário Sacomano Neto\",\"doi\":\"10.1016/j.rai.2016.03.002\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>This study analyzed the relationship between actor centrality of Network Projects and scientific productivity performance using a method known as Social Network Analysis. Social Network Analysis and its respective properties are able to analyze actors’ positions in the structure and existing social interactions in networks. Thus, this method generates indicators to understand the format of collaborative structures of projects and their respective performances in scientific productivity. In order to carry out this proposal, models for multimodal analysis were used, taking into consideration different centrality measures. The behavior of centrality metrics has proven to be significantly different for analyses. Furthermore, the correlations between these metrics and scientific productivity performance have shown to be important in achieving project goals. This shows that the more centrality there is, the greater the chance the project has to achieve its goals.</p></div>\",\"PeriodicalId\":101056,\"journal\":{\"name\":\"RAI Revista de Administra??o e Inova??o\",\"volume\":\"13 2\",\"pages\":\"Pages 78-88\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1016/j.rai.2016.03.002\",\"citationCount\":\"10\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"RAI Revista de Administra??o e Inova??o\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1809203916300122\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"RAI Revista de Administra??o e Inova??o","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1809203916300122","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Actor centrality in Network Projects and scientific performance: an exploratory study
This study analyzed the relationship between actor centrality of Network Projects and scientific productivity performance using a method known as Social Network Analysis. Social Network Analysis and its respective properties are able to analyze actors’ positions in the structure and existing social interactions in networks. Thus, this method generates indicators to understand the format of collaborative structures of projects and their respective performances in scientific productivity. In order to carry out this proposal, models for multimodal analysis were used, taking into consideration different centrality measures. The behavior of centrality metrics has proven to be significantly different for analyses. Furthermore, the correlations between these metrics and scientific productivity performance have shown to be important in achieving project goals. This shows that the more centrality there is, the greater the chance the project has to achieve its goals.