多级学科视角下我国在线学术社交模式实证研究:以科学网为例

Empirical Research on the Pattern of Online Academic Social Networking in Views of Multilevel Discipline Categories in China: A Case of Science Net

[目的/意义]在线学术社交为快速监测和深入理解学科发展态势及科学启示提供了有效途径与新颖视角。[方法/过程]提出基于学术社交的学科分析框架,在跟踪学科间关联轨迹基础上,从影响力和跨学科性二个维度开展学科比较,以从多级学科视角揭示我国学术社交模式。以科学网为对象,聚焦于好友关系,分别从学科分类的三个层级(学科领域、一级学科、二级学科)开展实证研究。[结果/结论]通过描述性统计分析,发现生命科学领域具有社交规模优势,而管理综合领域具有社交强度优势;结合统计分析与桑基图展示,发现以计算机科学为核心的相关一级学科群组(如自动化、电子学与信息系统、管理科学与工程、图书馆情报与文献学)成为社交网络的热门;通过二维象限图,发现学术社交模式在多学科粒度切换中展现出多样化、动态化特征,仅有少数模式能够保持稳定性,比如管理综合领域呈现高跨学科倾向,生命科学领域呈现出低影响力,计算机科学呈现高影响力。

[ Purpose/significance ] Online academic social networking provides an effective way and novel views to quickly monitor the trend of science development and deeply understand scientific implication.[ Method/process] An analytic framework was proposed to find the pattern of academic social networking in China by tracing the relations among all pairs of disciplines, with the comparisons in the two dimensions of impacts and trans-disciplines respectively. Furthermore ,empirical research was conducted by using samples from the platform Science Net, in views of three levels of disciplines categories respectively, i. e. field of disciplines, first -level disciplines, second -level disciplines, in which friend relationship was concerned.[ Result/conclusion] Firstly, it was found that field of life sciences shows an advantage in size of users registered in the online platform, while field of comprehensive management presents an advantage of tendency to carry out academic social networking, with method of descriptive statistics. Secondly, in term of method combining statistics analysis and Sankey diagram, it was found that a group of relevant disciplines belonging to the first level disciplines, with computer sciences as their core position, have become hot disciplines in social networking, such as automation ,electro nics and information system, management science and engineeri ng, library in formation and philology. Lastly but not least, based on the two -dimensional quadrant diagram, conclusions came out that discipline pattern of academic social networking show the characteristics of diversity and dynamics during the sw让ching among three levels of disciplines, and only a few patterns can be stable all the time. For examples, field of comprehensive management exceedingly tend to be trans-flisciplines in academic social networking, high impacts would turn out in the field of life sciences, but low impacts in the first level discipline of computer science.