数据挖掘在专刊组稿策划中的应用  

Application of data mining in planning special issues and soliciting contributions

作　　者：白娅娜[1] 武英刚[1] 宫在芹[1] 代艳玲[2] 

机构地区：[1]煤炭科学研究总院出版传媒集团<洁净煤技术>编辑部,北京100013 [2]煤炭科学研究总院出版传媒集团,北京100013

出　　处：《编辑学报》2016年第6期550-553,共4页Acta Editologica

摘　　要：专题报道是提升科技期刊质量和品牌的重要途径,其中专题策划是关键。以《洁净煤技术》专刊《煤炭燃烧及污染物防治理论与技术》为例,分析数据挖掘在专刊组稿策划中的应用。利用中国知网(CNKI)确定专刊选题方向,利用国家科技报告服务系统确定专刊报道方向,利用百度学术平台、CNKI等挖掘优秀作者资源,对专刊传播效果进行分析。利用数据挖掘准确捕捉了学科热点领域与前沿科学走向,有效把握读者需求,发掘大量优秀作者信息,为专刊的精准约稿提供了保障。据CNKI统计,《洁净煤技术》2015年论文按照被引频次和下载量排序,专刊论文分别占TOP 50论文数的36%和40%。《洁净煤技术》利用大数据选题组稿取得了良好效果,扩大了期刊的学术影响力。Organizing featured topics is an important approach to improve the quality and brand of journals, and special topics planning is the key to achieve this goal. Illustrated by the example of the topic ＂coal combustion and pollution prevention theory and technology＂ for Clean Coal Technology, the application of data mining in planning special issue and soliciting contributions is analyzed. The direction of the topics is determined through CNKI and national science and technology report service system, and excellent author resources are found through Baidu Scholar, CNKI and so on. At last, communication effect of the special issue is analyzed. The results show that hot frontiers of science, reader demands and excellent authors can be obtained through data mining. As for the statistics of citations and downloads of papers in 2015 in CNKI, the ratios of papers in Clean Coal Technology special issues are 36% and 40% of the top 50 papers, respectively. In short, planning special issues and soliciting contributions of Clean Coal Technology have obtained a good result, and academic influence of journal has been expanded.

关 键 词：专题策划 大数据 专刊 数据挖掘 

分 类 号：G232[文化科学]