摘要
在运用非概率抽样的滚雪球式抽样方法的基础上,采用python编写网络爬虫程序获取百所高校图书馆两个月内的微博相关数据,通过回归分析探究微博发布过程中各因素对知识推荐影响力的线性关系,同时依据分析结果,归纳出微博知识推荐过程中影响推荐质量与传播质量的因素,并提出提升高校图书馆微博账户知识推荐影响力的对策与建议。
On the basis of using snowball sampling - one of the non-probability sampling techniques, we grab the relevant data of microblogs of college libraries within two months by programming web crawler via python, and then explore the liner relationship between the factors in the process of microblog release for the influence of recommending knowledge. According to the result of analysis, we summarize the factors that influence the quality of recommendation and transmission, and propose countermeasures and advice to promote the knowledge recommendation influence of college libraries micmblog account.
出处
《数字图书馆论坛》
CSSCI
2016年第1期28-33,共6页
Digital Library Forum
关键词
高校图书馆
知识推荐
影响力
线性回归
微博
College Libraries
Knowledge Recommendation
Influence
Linear Regression
Mieroblog
