Abstract
Sustainability science has been widely accepted worldwide as an important research field worldwide. Since it is widespread in many research fields such as environmental science and engineering, architecture, materials science, and civil engineering, it is important to discover the hidden connections between sustainability science and other academic fields. For this purpose, supporting tools are necessary. This paper investigates the relationship between sustainability science and complex networks on the basis of citation network analysis using large datasets of academic papers. First, citation networks are generated on the basis of academic paper datasets and clustered to understand the research fields of sustainability science and complex networks. Next, we measure the textual similarities among the clusters in these fields and analyse the shared terms to find the overlapping research areas that connect the two fields. These results offer overviews of how complex networks contribute to sustainability science and assist the formation of policies that promote key results in artificial intelligence toward future sustainable societies.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: International Journal of Information Technology and Management
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
