{"title":"会计研究中的社会网络","authors":"A. Andrikopoulos, Konstantinos Kostaris","doi":"10.2139/ssrn.2349727","DOIUrl":null,"url":null,"abstract":"This study explores collaborative research that is published in four accounting journals: the Accounting Review, the Journal of Accounting Research, the Journal of Accounting and Economics and Accounting, Organizations and Society. We employ social network analysis in order to discover the relational structure of co-authorship in accounting research. We find that that the network of authoring accounting academics has become increasingly integrated over time. The co-authorship network exhibits \"small-world\" properties: a giant component that covers the biggest part of the network of collaborating authors and collaborating institutions, small average distance within the giant component and a high clustering coefficient.","PeriodicalId":114865,"journal":{"name":"ERN: Neural Networks & Related Topics (Topic)","volume":"96 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Social Networks in Accounting Research\",\"authors\":\"A. Andrikopoulos, Konstantinos Kostaris\",\"doi\":\"10.2139/ssrn.2349727\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This study explores collaborative research that is published in four accounting journals: the Accounting Review, the Journal of Accounting Research, the Journal of Accounting and Economics and Accounting, Organizations and Society. We employ social network analysis in order to discover the relational structure of co-authorship in accounting research. We find that that the network of authoring accounting academics has become increasingly integrated over time. The co-authorship network exhibits \\\"small-world\\\" properties: a giant component that covers the biggest part of the network of collaborating authors and collaborating institutions, small average distance within the giant component and a high clustering coefficient.\",\"PeriodicalId\":114865,\"journal\":{\"name\":\"ERN: Neural Networks & Related Topics (Topic)\",\"volume\":\"96 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-11-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ERN: Neural Networks & Related Topics (Topic)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2139/ssrn.2349727\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ERN: Neural Networks & Related Topics (Topic)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.2349727","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This study explores collaborative research that is published in four accounting journals: the Accounting Review, the Journal of Accounting Research, the Journal of Accounting and Economics and Accounting, Organizations and Society. We employ social network analysis in order to discover the relational structure of co-authorship in accounting research. We find that that the network of authoring accounting academics has become increasingly integrated over time. The co-authorship network exhibits "small-world" properties: a giant component that covers the biggest part of the network of collaborating authors and collaborating institutions, small average distance within the giant component and a high clustering coefficient.