图书情报知识 ›› 2024, Vol. 41 ›› Issue (1): 121-132.doi: 10.13366/j.dik.2024.01.121

• 情报、信息与共享 • 上一篇    下一篇

Twitter提及论文的布拉德福定律验证及来源期刊特征 ——以图书情报学科为例

张蕊1, 王莹1, 邱均平2   

  1. 1.杭州电子科技大学管理学院,杭州,310018;
    2.杭州电子科技大学中国科教评价研究院,杭州,310018
  • 出版日期:2024-01-10 发布日期:2024-03-04
  • 通讯作者: 王莹(ORCID:0000-0002-7074-5089),硕士研究生,研究方向:替代计量学与科学评价,Email:211030032@hdu.edu.cn。
  • 作者简介:张蕊(ORCID:0000-0001-5824-2924),博士,副教授,研究方向:信息管理与科学评价,Email:zr@hdu.edu.cn; 邱均平(ORCID:0000-0003-4008-3042),学士,教授,研究方向:科学计量学与大学评价,Email: jpqiu@hdu.edu.cn。
  • 基金资助:
    本文系国家社会科学基金重大项目“基于大数据的科教评价信息云平台构建和智能服务研究”(19ZDA348)的研究成果之一。

Validation of Bradford's Law and Source Journal Characteristics of Papers Mentioned by Twitter: Library and Information Science as Example

ZHANG Rui1, WANG Ying1, QIU Junping2   

  1. 1. School of Management, Hangzhou Dianzi University, Hangzhou,310018;
    2.China Institute of Science and Education Evaluation, Hangzhou Dianzi University, Hangzhou, 310018
  • Online:2024-01-10 Published:2024-03-04
  • Contact: Correspondence should be addressed to WANG Ying, Email:211030032@hdu.edu.cn,ORCID:0000-0002-7074-5089
  • Supported by:
    This is an outcome of the Major Project "Construction of Science and Education Evaluation Cloud Computing Platform and Intelligent Service Based on Big Data"(19ZDA348)supported by National Social Science Foundation of China.

摘要: [目的/意义]调研社交媒体提及的论文是否符合布拉德福定律有助于了解社交媒体环境下论文的分布特征,并获取媒体关注的核心信息。[研究设计/方法]以2018-2022年图书情报学科相关的推文为研究对象,通过描述性统计、布拉德福定律验证和特征分析方法,考察布拉德福定律在Twitter环境下的有效性及其分布特点。[结论/发现]在图书情报领域,Twitter提及论文所在来源分布符合布拉德福分散定律;核心区中被JCR收录的、拥有Twitter账号的期刊数量更多。[创新/价值]关注了传统理论在社交媒体环境下的适用性,对比不同分区来源期刊的特征能够为发现成为核心区期刊的关键因素提供参考。

关键词: 布拉德福定律, 推文分布, Twitter提及, 图书情报学科, 验证分析

Abstract: [Purpose/Significance] Investigating whether the papers mentioned by social media conform to Bradford's law is helpful to understand the distribution characteristics of papers in the social media environment, obtain the core information of media attention. [Design/Methodology] Using all the tweets related to the Library and Information Studies(LIS)in 2018-2022,this paper examines the validity of Bradford's law in the Twitter environment and its distributional characteristics through descriptive statistics, validation of Bradford's law, and feature analysis. [Findings/Conclusion] The results of the study show that in the field of LIS, the distribution of the sources of the papers mentioned by Twitter is consistent with Bradford's law of dispersion.Journals that are indexed by the JCR and have Twitter accounts are located in the core area in greater numbers. [Originality/Value] This study focuses on the applicability of traditional theories in social media contexts, and compares the characteristics of different partitioned source journals,which can provide references for discovering the key factors for becoming a core zone journal.

Keywords: Bradford's law, Distribution of tweets, Twitter Mentions, LIS(Library and Information Science), Confirmatory Analysis