社交媒体视角下图书情报领域的跨学科性研究

doi:10.13266/j.issn.0252-3116.2019.13.007

图书情报工作 ›› 2019, Vol. 63 ›› Issue (13): 66-74.DOI: 10.13266/j.issn.0252-3116.2019.13.007

社交媒体视角下图书情报领域的跨学科性研究

吴小兰^1,2, 章成志²

1. 南京师范大学新闻与传播学院南京 210046;
2. 南京理工大学经济管理学院信息管理系南京 210094

收稿日期:2018-10-16 修回日期:2019-01-17 出版日期:2019-07-05 发布日期:2019-07-05
作者简介:吴小兰(ORCID:0000-0003-1869-1738),副教授,博士研究生;章成志(ORCID:0000-0001-9522-2914),教授,博士,博士生导师,E-mail:zhangcz@njust.edu.cn。
基金资助:
本文系国家社会科学青年基金项目"社交媒体视域下的跨学科用户发现及其推荐研究"（项目编号：17CTQ047）研究成果之一。

Interdisciplinary Analysis of Library and Information Science Based on Social Media

Wu Xiaolan^1,2, Zhang Chengzhi²

1. School of Journalism and Communication, Nanjing Normal University, Nanjing 210046;
2. Department of Information Management, School of Economics & Management, Nanjing University of Science and Technology, Nanjing 210094

Received:2018-10-16 Revised:2019-01-17 Online:2019-07-05 Published:2019-07-05

摘要/Abstract

摘要： [目的/意义]社交媒体下非正式学术交流逐渐成为学者们学术交流的又一新天地，探索社交媒体下具有综合交叉学科性质的图书情报领域的跨学科特性，可以作为传统学术交流研究的一个补充与参考。[方法/过程]以科学网博客为代表，从用户好友关系、评论关系及推荐关系三个角度构造学科亲缘树，然后借用亲缘树的多样性指标分析了图书情报的跨学科特性。[结果/结论]通过本文研究，发现图情领域用户学科亲缘树与好友学科亲缘树之间存在强相关性，推荐对象的学科亲缘树与评论对象的亲缘树存在极强相关性；此外，本文还发现"计算机科学""管理科学与工程""宏观管理与政策"是社交媒体上图情领域用户最亲缘学科。

关键词: 学科亲缘树, 跨学科距离, 物种多样性, 科学网博客

Abstract: [Purpose/significance] With the development of Web2.0, informal academic exchanges under social media have become a new field for scholarly academic exchanges. Therefore, analyzing interdisciplinary characteristics in the field of Library and Information Science can be used as a supplement and reference for the research of traditional academic exchanges.[Method/process] This paper takes ScienceNet.cn as the representative, and constructs discipline phylogenetic tree from three aspects, such as user friendship, review relationship and recommendation relationship. Then, the interdisciplinary characteristics of Library and Information Science are analyzed by using the diversity index of discipline phylogenetic tree.[Result/conclusion] Through this study, it was found that there is a strong correlation between the user's discipline phylogenetic tree and the friend's discipline phylogenetic tree, while the correlation between the review group and the recommend group is obvious. In addition, Computer Science, Management Science and Engineering, Macro Management and Policy are the most related disciplines of Library and Information Science.

Key words: discipline phylogenetic tree, interdisciplinary distance, species diversity, ScienceNet

中图分类号:

G203

吴小兰, 章成志. 社交媒体视角下图书情报领域的跨学科性研究[J]. 图书情报工作, 2019, 63(13): 66-74.

Wu Xiaolan, Zhang Chengzhi. Interdisciplinary Analysis of Library and Information Science Based on Social Media[J]. LIS, 2019, 63(13): 66-74.

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社交媒体视角下图书情报领域的跨学科性研究

Interdisciplinary Analysis of Library and Information Science Based on Social Media

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