摘要
数据新闻作为大数据发展下的产物越来越受到媒体业的重视。作为研究事物之间关联性的社会网络分析法与数据新闻讲求通过用数据可视化来表达事件之间、人物之间关系的想法相契合。文章对社会网络分析法及其在数据新闻领域的应用进行介绍,并以2016年8月新浪微博热门主题及"王宝强离婚事件"主要人物作为案例进行社会网络分析,以期更多的数据新闻工作者对这一社会科学研究方法进行了解并应用。
As the product of big data development, data journalism is getting attention gradually in media industry. The matter interrelationship study-oriented social network analysis has something in common with data journalism which resorts to visualize data to express the interrelationship between matters of persons. This paper introduces social network analysis and its application in data journalism, cites Sina Weibo hot topics in August 2016 and major roles of ＂Wang Baoqiang Divorce Incident＂ as the cases to analysis social network, so that more data journalism professionals can understand and apply this social science study approach.
作者
王晗啸
卢章平
陈庆
WANG Han-xiao LU Zhang-ping CHEN Qing(Science and Technology Information Research Institute Jiangsu University, Zhenjiang, China 212013 Beijing Hongbo Zhiwei Technology Co. Ltd, Beijing, China 100080)
出处
《编辑之友》
CSSCI
北大核心
2017年第2期76-79,共4页
Editorial Friend
关键词
数据新闻
可视化
社会网络分析
data journalism
visualization
social network analysis
