基于引用情感的学科交叉动力量化分析研究 ——以我国图情领域为例A Study on the Internal Motivation of Discipline Intersection Based on Citation Sentiment: Taking Domestic Library and Information Science as an Example
姜 霖1,2 范 哲1
摘要(Abstract):
[目的/意义]随着社会与科学技术的发展,科学研究的问题也日益综合化和复杂化,学科间的交叉融合日益明显,逐渐成为现代科研创新和科技进步的重要途径。[方法/过程]本文尝试从跨学科引用出发,通过聚类方法识别学科交叉中的聚焦主题,再结合自然语言处理技术和情感分析方法,分析聚焦主题下跨学科交叉融合的知识动力来源学科和强度。期望揭示当前交叉学科研究中跨学科知识点的驱动规律,为新学科边界的扩展提供借鉴思路和数据支撑。本文以2017—2021年发表在6本图书情报领域期刊上的学术论文为研究对象,展开实证研究。[结果/结论]研究发现我国图情领域研究中,引入的跨学科概念来源较为均衡,涵盖了较多学科,而理论、方法和工具的来源主要集中在工学和管理学方向,对于其他基础人文学科理论和知识点的引入动力有待深入发掘。
关键词(KeyWords): 引用内容 学科交叉 动力机制 引用情感
基金项目(Foundation): 本文系国家社会科学基金项目“全文本引文分析视角下的交叉学科融合和演化机制研究”(项目编号:21CTQ040)的研究成果之一
作者(Author): 姜 霖1,2 范 哲1
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