{"title":"中国网民影响因素分析","authors":"Jun Yu Li, Zhang Bin, Yiyong Hao","doi":"10.1109/ICNDS.2010.5479211","DOIUrl":null,"url":null,"abstract":"First , based on studying 23rd Statistical Report on the Internet Development in China released by CNNIC, combined with the statistical analysis of the impact factors (a total of 23 times) about structural characteristics in Chinese netizens , We classify the structural characteristics. Second, determining mutual impact of the inter-relations among all factors, drawing the final impact about all factors using the modified reachable matrix is used to get the inter-relationship between the factors. Then we divide hierarchy of all the factors and get interpretive structural model about factors on the structural characteristics in Chinese netizens. Third, we classify the factors and obtain the weight of each factor according to the modified Judgment matrix algorithm. The outcomes of the paper are significant for full utilization of Chinese Internet information resource and efficient implement of information policy.","PeriodicalId":403283,"journal":{"name":"2010 International Conference on Networking and Digital Society","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The analysis of impact factors for Chinese netizens\",\"authors\":\"Jun Yu Li, Zhang Bin, Yiyong Hao\",\"doi\":\"10.1109/ICNDS.2010.5479211\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"First , based on studying 23rd Statistical Report on the Internet Development in China released by CNNIC, combined with the statistical analysis of the impact factors (a total of 23 times) about structural characteristics in Chinese netizens , We classify the structural characteristics. Second, determining mutual impact of the inter-relations among all factors, drawing the final impact about all factors using the modified reachable matrix is used to get the inter-relationship between the factors. Then we divide hierarchy of all the factors and get interpretive structural model about factors on the structural characteristics in Chinese netizens. Third, we classify the factors and obtain the weight of each factor according to the modified Judgment matrix algorithm. The outcomes of the paper are significant for full utilization of Chinese Internet information resource and efficient implement of information policy.\",\"PeriodicalId\":403283,\"journal\":{\"name\":\"2010 International Conference on Networking and Digital Society\",\"volume\":\"15 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-05-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 International Conference on Networking and Digital Society\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICNDS.2010.5479211\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 International Conference on Networking and Digital Society","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICNDS.2010.5479211","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The analysis of impact factors for Chinese netizens
First , based on studying 23rd Statistical Report on the Internet Development in China released by CNNIC, combined with the statistical analysis of the impact factors (a total of 23 times) about structural characteristics in Chinese netizens , We classify the structural characteristics. Second, determining mutual impact of the inter-relations among all factors, drawing the final impact about all factors using the modified reachable matrix is used to get the inter-relationship between the factors. Then we divide hierarchy of all the factors and get interpretive structural model about factors on the structural characteristics in Chinese netizens. Third, we classify the factors and obtain the weight of each factor according to the modified Judgment matrix algorithm. The outcomes of the paper are significant for full utilization of Chinese Internet information resource and efficient implement of information policy.