2022 VOLUME 2 ISSUE 3
RESEARCH ARTICLE
Identification of potential interdisciplinary cooperative topics based on co-word network: Taking LIS and computer science as an example
AUTHOR
Changling Li , Guoyang Rong, Kun Luan, Xinxin Wang, Lixu Shen, Qingqing Fan
ABSTRACT
[Purpose/significance] Interdisciplinary knowledge fusion plays a key role in promoting the development of interdisciplinary integration and providing new ideas for interdisciplinary cooperative research. This study sets out to identify potential interdisciplinary cooperative topics between Library and Information Science (LIS) and Computer Science. [Method / Process] We built an interdisciplinary co-word network to identify potential interdisciplinary cooperative topics by closed and opened irrelevant knowledge discovery methods. We also constructed the topic interdisciplinary cooperation potential index (TICPI) to calculate the interdisciplinary cooperation potential of the topic and found the best contact path of the cooperation topic by constructing the practicable value (PV) of the contact patch. [Result / Conclusion] The experimental data suggested that both methods can identify the same potential interdisciplinary cooperative topics, such as knowledge service & matrix decomposition, online comments & social media processing, academic text & generative adversarial network, network public opinion & smart home. Exploiting the cooperation potential of these topics can help the knowledge fusion between disciplines.
KEYWORDS
Interdisciplinary cooperative topics; Interdisciplinary research; Irrelevant knowledge discovery; Library and information science; Computer science