| 白如江,牛湘荷,何颖,张新雨,刘睿琳.图书情报领域多层网络模型构建方法、应用及发展趋势[J].数字图书馆论坛,2025,21(7):54~62 |
| 图书情报领域多层网络模型构建方法、应用及发展趋势 |
| Construction Methods, Applications, and Development Trends of Multilayer Network Models in Library & Information Science |
| 投稿时间：2025-06-12 |
| DOI：10.3772/j.issn.1673-2286.2025.07.006 |
| 中文关键词: 图书情报；多层网络；网络构建；网络应用；发展趋势；研究方法 |
| 英文关键词: Library & Information Science; Multilayer Network; Network Construction; Network Application; Development Trend; Research Method |
| 基金项目:本研究得到国家社会科学基金一般项目“多源数据融合驱动的智慧情报感知研究”（编号：21BTQ071）、中国宇航学会委托项目“信息科技前沿技术分析”（编号：SKHX20222014）资助。 |
| 作者 | 单位 | | 白如江 | 山东理工大学信息管理学院 | | 牛湘荷 | 山东理工大学信息管理学院 | | 何颖 | 中国航天科技国际交流中心 | | 张新雨 | 山东理工大学信息管理学院 | | 刘睿琳 | 多伦多大学信息学部 |
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| 中文摘要: |
| 随着数据量的激增以及自然语言处理等智能技术的发展，图书情报领域面临着日益复杂的网络结构和多样化的关系模式，远非单层网络所能刻画。本研究旨在构建适用于图书情报领域普遍研究场景的多层网络模型方法体系，以期推动多层网络在该领域的深度应用从“案例化”向“范式化”转变。首先，对图书情报领域传统单层网络和现阶段多层网络的应用进行了梳理，明确其构建方法缺乏系统探讨的现状。其次，从数据收集、网络构建与算法分析3个层面提出图书情报领域多层网络一般模型的构建方法。最后，以数据要素与数据治理、图书馆智慧服务、数字人文与文化遗产智能计算3个热点方向为例，对多层网络在图书情报领域的具体应用进行阐释，并指出图书情报领域多层网络在多模态节点扩展、网络动力学研究与网络结构聚合维度上的发展趋势。 |
| 英文摘要: |
| With the explosive growth of data volume and the development of intelligent technologies such as natural language processing, Library &Information Science is confronted with increasingly complex network structures and diversified relational models, which are far beyond what a single-layer network can depict. This study aims to construct a methodological system of multilayer network models applicable to common research scenarios in Library & Information Science, with the intention of promoting the deep application of multilayer networks in this field from “case-based” to “paradigm-based”. Initially,the application of traditional single-layer networks and current multilayer networks in Library & Information Science is reviewed, and the current situation of the lack of systematic discussion in their construction methods is clarified. Subsequently, a construction method for a general model of multilayer networks in Library & Information Science is proposed from three aspects: data collection, network construction, and algorithm analysis. Finally, taking data elements and data governance, smart library services, and intelligent computing in digital humanities and cultural heritage as three hot topics, this paper explains the specific applications of multilayer networks in Library & Information Science, and points out the development trends of multilayer networks in this field in terms of multimodal node expansion, network dynamics research, and network structure aggregation. |
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