{"title":"对KM4Dev主讨论组进行社会网络分析的早期结果","authors":"Graham Durant-Law","doi":"10.1080/19474199.2012.718143","DOIUrl":null,"url":null,"abstract":"This paper presents the early results of a social network analysis of the KM4Dev Main Discussion Group. Ten complete years of data, and two years of incomplete data, were provided for analysis. Data was in an XML format and required a considerable iterative data cleansing exercise. Ultimately this process left 703 identified individuals in the network. These people comprise the node-set for the public bounded or contained network, for which activity and various network measures can be applied. Gloor's (2006) Contribution Index was used to attribute and partition the network. 113 key participants were identified as being crucial to the health of the active public network; however, this group appears to be in decline. Overall the Main Discussion Group of the KM4Dev community appears to be a ‘knowledge seeking’ network rather than a ‘knowledge sharing’ network.","PeriodicalId":169185,"journal":{"name":"Knowledge Management for Development Journal","volume":"63 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The early results of a social network analysis of the KM4Dev Main Discussion Group\",\"authors\":\"Graham Durant-Law\",\"doi\":\"10.1080/19474199.2012.718143\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents the early results of a social network analysis of the KM4Dev Main Discussion Group. Ten complete years of data, and two years of incomplete data, were provided for analysis. Data was in an XML format and required a considerable iterative data cleansing exercise. Ultimately this process left 703 identified individuals in the network. These people comprise the node-set for the public bounded or contained network, for which activity and various network measures can be applied. Gloor's (2006) Contribution Index was used to attribute and partition the network. 113 key participants were identified as being crucial to the health of the active public network; however, this group appears to be in decline. Overall the Main Discussion Group of the KM4Dev community appears to be a ‘knowledge seeking’ network rather than a ‘knowledge sharing’ network.\",\"PeriodicalId\":169185,\"journal\":{\"name\":\"Knowledge Management for Development Journal\",\"volume\":\"63 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Knowledge Management for Development Journal\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1080/19474199.2012.718143\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Knowledge Management for Development Journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/19474199.2012.718143","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The early results of a social network analysis of the KM4Dev Main Discussion Group
This paper presents the early results of a social network analysis of the KM4Dev Main Discussion Group. Ten complete years of data, and two years of incomplete data, were provided for analysis. Data was in an XML format and required a considerable iterative data cleansing exercise. Ultimately this process left 703 identified individuals in the network. These people comprise the node-set for the public bounded or contained network, for which activity and various network measures can be applied. Gloor's (2006) Contribution Index was used to attribute and partition the network. 113 key participants were identified as being crucial to the health of the active public network; however, this group appears to be in decline. Overall the Main Discussion Group of the KM4Dev community appears to be a ‘knowledge seeking’ network rather than a ‘knowledge sharing’ network.