Laura Alcaide-Muñoz, M. Bolívar, M. Cobo, E. Herrera-Viedma
{"title":"科学测绘工具在电子政务领域的应用","authors":"Laura Alcaide-Muñoz, M. Bolívar, M. Cobo, E. Herrera-Viedma","doi":"10.1145/2912160.2912172","DOIUrl":null,"url":null,"abstract":"This study presents an approach to analyze the thematic evolution of e-Government field. We combine different bibliometric tools to analyze the evolution of the cognitive structure of this research topic, allowing us to discover important knowledge related to its themes and thematic areas. Also, we are able to identify thematic areas and show their evolutionary behavior, supported by different visualization tools to understand their evolution, importance and likely future tendencies. These findings are a contribution in e-Government field, detecting the most prominent productive and highest-impact subfields, offering symptoms of field in constant evolution.","PeriodicalId":270321,"journal":{"name":"Proceedings of the 17th International Digital Government Research Conference on Digital Government Research","volume":"53 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Science Mapping Tools: their application to e-Government field\",\"authors\":\"Laura Alcaide-Muñoz, M. Bolívar, M. Cobo, E. Herrera-Viedma\",\"doi\":\"10.1145/2912160.2912172\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This study presents an approach to analyze the thematic evolution of e-Government field. We combine different bibliometric tools to analyze the evolution of the cognitive structure of this research topic, allowing us to discover important knowledge related to its themes and thematic areas. Also, we are able to identify thematic areas and show their evolutionary behavior, supported by different visualization tools to understand their evolution, importance and likely future tendencies. These findings are a contribution in e-Government field, detecting the most prominent productive and highest-impact subfields, offering symptoms of field in constant evolution.\",\"PeriodicalId\":270321,\"journal\":{\"name\":\"Proceedings of the 17th International Digital Government Research Conference on Digital Government Research\",\"volume\":\"53 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-06-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"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/10.1145/2912160.2912172\",\"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/10.1145/2912160.2912172","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Science Mapping Tools: their application to e-Government field
This study presents an approach to analyze the thematic evolution of e-Government field. We combine different bibliometric tools to analyze the evolution of the cognitive structure of this research topic, allowing us to discover important knowledge related to its themes and thematic areas. Also, we are able to identify thematic areas and show their evolutionary behavior, supported by different visualization tools to understand their evolution, importance and likely future tendencies. These findings are a contribution in e-Government field, detecting the most prominent productive and highest-impact subfields, offering symptoms of field in constant evolution.