摘要
【目的/意义】探究学科内部的知识交流可以促进学科内部各专业之间的知识传递,优化学科知识结构,促进学科良性发展。【过程/方法】本文根据图书情报档案学学科作者的互引情况生成作者互引网络,利用Louvain社区检测算法划分专业。在各专业间,引入平均知识流量与知识转移比率来测度专业间知识交流的活跃度以及专业间受彼此影响的程度。【结果/结论】从专业间知识交流活跃度来看,信息资源管理与信息计量知识交流活跃度最高,网络信息生态链研究知识交流活跃度最低。图书馆学、目录学与文献学相较于情报学来说,和各专业间知识交流相对滞涩。从专业间受彼此影响的程度来看,除却智能信息处理、检索与推送技术和竞争情报分析等四组专业对彼此影响严重不平衡,六组专业受彼此影响较不平衡外,其他专业对彼此的影响基本平衡。
【Purpose/significance】To explore the inter-specialty knowledge communication within a discipline can promote the transfer of knowledge between the various specialties, optimize the knowledge structure of the discipline, and promote the healthy development of the discipline.【Method/process】 According to the mutual citation of the author in Library, Information and Archives Science, the specialty groups are divided by Louvain community detection algorithm. In the specialties, the average knowledge flow and the knowledge transfer ratio are introduced to measure the active degree of specialty knowledge communication and the degree of mutual influence between them.【Result/conclusion】For the active degree of inter-specialty knowledge communication, information resource management and informetrics is the highest, the network information ecology chain research is the lowest. Compared to the Information Science, the knowledge communication of the Library and Archives Science with other specialties is relatively stagnant. For the degree of inter-specialties influence, except the four groups of specialties of intelligent information processing, retrieval and push technology and competitive intelligence influence each other extremely unbalanced, six groups of specialties influence each other more unbalanced, the other specialties influence each other basically balance.
作者
李婷婷
刘超
李秀霞
LI Ting-ting;LIU chao;LI Xiu-xia(Qufu Normal University, RiZhao 276826, Chin)
出处
《情报科学》
CSSCI
北大核心
2018年第6期63-67,共5页
Information Science
关键词
作者互引
Louvain算法
知识交流
平均知识流量
mutual citation of authors
Louvain algorithm
knowledge exchange
average knowledge flow