收稿日期: 2014-03-24
修回日期: 2014-04-08
网络出版日期: 2014-04-20
基金资助
本文系国家社会科学重点项目 “基于语义的馆藏资源深度聚合与可视化研究”（项目编号：11AZD090）研究成果之一。
An Analysis on the Trend of Weibo‘Follow’Patterns of University Libraries Based on Association Rules
Received date: 2014-03-24
Revised date: 2014-04-08
Online published: 2014-04-20
程秀峰 , 李重阳 , 陈莉玥 . 基于关联规则的高校图书馆微博关注趋势分析[J]. 图书情报工作, 2014 , 58(08) : 73 -78 . DOI: 10.13266/j.issn.0252-3116.2014.08.012
This paper introduces two different processes of Weibo data acquisition: the API based acquisition and Python based acquisition. The association rules are implemented to analyze the Weibo's‘follow’data of certain university libraries. It also proposes levels of the‘follow'hierarchy in Weibo. Then we use association rules to describe‘1st level’and‘2nd level’follow regulations. We discovered an ultimate pattern or characteristic of Weibo's transmission is formed through constantly passing‘follow’to one another. University libraries can use methods presented in this paper to make prospective survey on their Weibo development.
Key words： association rules; university library; Weibo; follow
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