{"title":"政府微博影响力建模及影响因素分析","authors":"Zhang Ling","doi":"10.1145/2912160.2912224","DOIUrl":null,"url":null,"abstract":"Judging by the quantity and quality of followers, we find that there are three levels of influence: following, spreading and interaction, measured by three key indicators respectively, which are the number of followers, the number of reposts and the number of comments. Each level and its indicator are influenced by a series of factors. Based on quantitative and qualitative analysis of typical samples of different types of institutions on Sinamicroblog, we can conduct an initial verification of this theoretical model.","PeriodicalId":270321,"journal":{"name":"Proceedings of the 17th International Digital Government Research Conference on Digital Government Research","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Modeling the Influence of Government Microblogs and Analyzing its Factors\",\"authors\":\"Zhang Ling\",\"doi\":\"10.1145/2912160.2912224\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Judging by the quantity and quality of followers, we find that there are three levels of influence: following, spreading and interaction, measured by three key indicators respectively, which are the number of followers, the number of reposts and the number of comments. Each level and its indicator are influenced by a series of factors. Based on quantitative and qualitative analysis of typical samples of different types of institutions on Sinamicroblog, we can conduct an initial verification of this theoretical model.\",\"PeriodicalId\":270321,\"journal\":{\"name\":\"Proceedings of the 17th International Digital Government Research Conference on Digital Government Research\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-06-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 17th International Digital Government Research Conference on Digital Government Research\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2912160.2912224\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 17th International Digital Government Research Conference on Digital Government Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2912160.2912224","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Modeling the Influence of Government Microblogs and Analyzing its Factors
Judging by the quantity and quality of followers, we find that there are three levels of influence: following, spreading and interaction, measured by three key indicators respectively, which are the number of followers, the number of reposts and the number of comments. Each level and its indicator are influenced by a series of factors. Based on quantitative and qualitative analysis of typical samples of different types of institutions on Sinamicroblog, we can conduct an initial verification of this theoretical model.
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