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科学文献网络中的引文扩散——以2011年诺贝尔化学奖获奖论文为例
引用本文:闵超,张帅,孙建军.科学文献网络中的引文扩散——以2011年诺贝尔化学奖获奖论文为例[J].情报学报,2020(3):259-273.
作者姓名:闵超  张帅  孙建军
作者单位:南京大学信息管理学院;新南威尔士大学计算机科学与工程学院
基金项目:国家自然科学基金项目“引文扩散理论及实证研究”(71874077),“引文模式视角下的科学突破研究”(71904081);教育部人文社会科学基金青年项目“施引群体视角的科学产出评价方法研究”(19YJC870017)。
摘    要:科学知识借助引用关系发生动态扩散,客观记录科学发展与演化的轨迹。由于知识之间存在千丝万缕的联系,以孤立的观点看待科学知识的影响与价值往往得到的是片面的感观。本文从联系的视角观察科学知识产出,尝试通过被引、引用、文献耦合与共被引等文献关系为单篇论著构建引文扩散网络,探讨"文献嵌入网络"的概念、测度方式及其在引文扩散过程中起到的特殊作用。案例分析显示,科学知识的形成相伴于科学知识网络的发展,同时也受到这个网络的影响:科学知识向科学领域的扩散,遵循从核心领域向周边领域的扩散模式;施引文献可以揭示目标文献中没有显式呈现的信息;四种文献关系之间可能存在相当程度的重合,引文扩散过程显示出知识的"黏滞性"与非常明显的"小世界"特征。对科学产出的扩散网络进行量化有助于为全面评价其价值提供更多客观依据。

关 键 词:引文扩散  施引文献  扩散网络  科学评估

Citation Diffusion in the Networks of Scientific Publications:A Case Study on the 2011 Nobel Chemistry Prizewinning Paper
Min Chao,Zhang Shuai,Sun Jianjun.Citation Diffusion in the Networks of Scientific Publications:A Case Study on the 2011 Nobel Chemistry Prizewinning Paper[J].Journal of the China Society for Scientific andTechnical Information,2020(3):259-273.
Authors:Min Chao  Zhang Shuai  Sun Jianjun
Institution:(School of Information Management,Nanjing University,Nanjing 210023;School of Computer Science and Engineering,University of New South Wales,Sydney 2052)
Abstract:Scientific knowledge diffuses via citation relationships, objectively recording the trajectory of the development and evolution of science. Due to the inextricable connections in scientific knowledge, an isolated view of the impacts and values of scientific knowledge often leads to one-sided perceptions. In this paper, we observe the outputs of scientific knowledge from the perspective of connections. We try to construct the diffusion networks of individual publications through bibliographic relationships such as citing, coupling, and being cited and co-cited, and to examine the literature-embedding networks concepts, measurements, and role in citation diffusion. The case study suggests that the codification of scientific knowledge accompanies the development of its network, and, at the same time, is influenced by the network. Scientific knowledge diffuses from domestic domains to peripheral domains as time goes on. Citing publications could reveal valuable information about the target publication that is not explicitly recorded. The four types of bibliographic relationships may frequently overlap, causing the significant characteristics of"stickiness"and"small world"in citation diffusion. Our quantification of the diffusion networks provides additional objective evidence for evaluating the values of scientific output.
Keywords:citation diffusion  citing publications  diffusion networks  science evaluation
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