{"title":"基于共词分析的创客空间政策表达研究","authors":"Wu Chen, Tiannan Yang, Liyan Lai","doi":"10.1109/TOCS50858.2020.9339626","DOIUrl":null,"url":null,"abstract":"By analyzing the text of maker space policy, it is helpful to understand the logic of policy expression and evolution. The co-word analysis method, ROSTCM6.0 and Netdraw systems are used to compare and analyze 81 policy texts with Beijing, Hubei, Sichuan and Jilin as typical representatives. The study found that different regional policy texts have basically the same policy value orientation in terms of service awareness, platform construction, fiscal and taxation policies, etc., while the differentiation level is manifested in incorporating regional resource endowment into the expression of policy texts, thus highlighting advantages and forming social influence. The research conclusion provides empirical evidence for further improving maker space policy.","PeriodicalId":373862,"journal":{"name":"2020 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Research on Maker Space Policy Expression Based on Co-Word Analysis\",\"authors\":\"Wu Chen, Tiannan Yang, Liyan Lai\",\"doi\":\"10.1109/TOCS50858.2020.9339626\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"By analyzing the text of maker space policy, it is helpful to understand the logic of policy expression and evolution. The co-word analysis method, ROSTCM6.0 and Netdraw systems are used to compare and analyze 81 policy texts with Beijing, Hubei, Sichuan and Jilin as typical representatives. The study found that different regional policy texts have basically the same policy value orientation in terms of service awareness, platform construction, fiscal and taxation policies, etc., while the differentiation level is manifested in incorporating regional resource endowment into the expression of policy texts, thus highlighting advantages and forming social influence. The research conclusion provides empirical evidence for further improving maker space policy.\",\"PeriodicalId\":373862,\"journal\":{\"name\":\"2020 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS)\",\"volume\":\"43 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-12-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/TOCS50858.2020.9339626\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TOCS50858.2020.9339626","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Research on Maker Space Policy Expression Based on Co-Word Analysis
By analyzing the text of maker space policy, it is helpful to understand the logic of policy expression and evolution. The co-word analysis method, ROSTCM6.0 and Netdraw systems are used to compare and analyze 81 policy texts with Beijing, Hubei, Sichuan and Jilin as typical representatives. The study found that different regional policy texts have basically the same policy value orientation in terms of service awareness, platform construction, fiscal and taxation policies, etc., while the differentiation level is manifested in incorporating regional resource endowment into the expression of policy texts, thus highlighting advantages and forming social influence. The research conclusion provides empirical evidence for further improving maker space policy.