摘要
采集了科学网博客中关于"大数据"的博文及其推荐者数据,借助UCINET和Net Draw软件对博文及其推荐者的社会网络进行分析和绘图,从人与信息的角度分析博客信息的自组织。结果表明,博文与推荐者之间建立了一个完整的相互连通的社会网络,说明由于不同读者推荐了同一篇博文,因而在读者与博主之间借助于信息元素建立社会关系网络;同时由于同一读者推荐了多篇同一主题的博文,在读者与信息之间、不同博文(信息)之间也建立了联系,形成了人和信息的联系网络,为基于Web2.0的信息自组织理论提供新的实证支撑。
The paper collects data of blog articles and their recommenders on the subject of ＂big data＂ from the blogs of Science Net, uses UCINET and Net Draw to analyze and draws social network of blog articles and their recommenders, and studies the selforganization of information in the blogs from the perspective of human and information. The results show that a whole and interconnected social network forms between blog articles and their recommenders, which illustrates that because different readers recommend a same article, social network forms between readers and bloggers with the information elements; and because the same reader recommends multiple blog articles on the same subject, the relationships also form between reader and information and among different bloggers or information, which forms the network connecting human and information, to provide empirical support for Web2.0-based information self-organization theory.
出处
《情报探索》
2014年第12期4-7,共4页
Information Research
基金
江苏省教育厅高校哲学社会科学基金项目"基于Web2.0的网络信息自组织机制研究"(项目编号:2011SJD870008)成果之一
关键词
博客
自组织
社会网络
网络密度
网络中心度
可视化
blog
self-organization
social network
network density
centrality degree of network
visualization
