基于引文-主题双重测度的交叉前沿识别研究  

Research on Cross-Frontier Recognition Based on Citation-Topic Dual Measure

作　　者：白如江[1] 张亚辉 张玉洁[2] 鞠孜涵 冯梦莹 Bai Rujiang;Zhang Yahui;Zhang Yujie;Ju Zihan;Feng Mengying(School of Information Management,Shandong University of Technology,Zibo 255049,China;School of Digital Economy and Management,Nanjing University,Suzhou 215163,China)

机构地区：[1]山东理工大学信息管理学院,山东淄博255049 [2]南京大学数字经济与管理学院,江苏苏州215163

出　　处：《现代情报》2024年第10期27-40,63,共15页Journal of Modern Information

基　　金：国家社会科学基金项目“多源数据融合驱动的智慧情报感知研究”(项目编号:21BTQ071)。

摘　　要：[目的/意义]交叉学科正在成为我国科技创新的重要驱动力,并不断催生新的科学前沿。如何识别并测度交叉前沿主题,对于理解学科知识流转、把握新的交叉前沿方向至关重要。[方法/过程]本文从引文分析和主题分析相结合的角度,提出基于引文—主题双重测度的交叉前沿识别方法。首先,综合运用自然语言处理、文本主题识别、引文关系矩阵等方法获取交叉主题;其次,通过构建基于引文—主题的交叉测度指标进一步遴选交叉主题;最后,提出主题影响力、新颖度、吸引度及热度的多维测度指标,获取交叉前沿。[结果/结论]通过信息科技与宇航交叉领域进行实证研究,结果表明该方法能够有效识别出该领域的热点交叉前沿、新兴交叉前沿、潜在交叉前沿以及衰弱交叉前沿。[Purpose/Significance]Cross-discipline is becoming an important driving force for scientific and technological innovation in our country,and constantly spawning new scientific frontiers.How to identify and measure cross-frontier topics is very important for understanding the subject knowledge flow and grasping the new cross-frontier direction.[Method/Process]From the perspective of combining citation analysis and subject analysis,this paper proposed a method of cross-frontier recognition based on citation-topic dual measure.Firstly,the cross-topic was obtained by using natural language processing,text topic recognition and citation relation matrix.Secondly,the cross-topic was further selected by constructing cross-measurement index based on citation-topic.Finally,multi-dimensional measurement indicators of theme influence,novelty,attraction and popularity were proposed to obtain the cross-frontier.[Result/Conclusion]The results show that this method can effectively identify the hot cross-frontiers,emerging cross-frontiers,potential cross-frontiers and weak cross-frontiers in this field.

关 键 词：学科交叉 研究前沿 交叉前沿 引文—主题识别方法 多维测度指标 

分 类 号：G250.2[文化科学—图书馆学]