The evolution of Complexity co-occurring keywords: bibliometric analysis and network approach

• DOI: 10.48550/arxiv.2308.00992
• Publication Date: 2023-01-01
• Authors: Tanya Araújo; Alexandre Abreu; Francisco Louçã
• Keywords: Social and Information Networks (cs.SI); FOS: Computer and information sciences; Computer Science - Digital Libraries; Computer Science - Social and Information Networks; Digital Libraries (cs.DL)

Bibliometric studies based on the Web of Science (WOS) database have become an increasingly popular method for analysing structure scientific research. So do network approaches, which, empirical data, make it possible to characterize emergence topological structures over time and across multiple research areas. Our paper is a contribution interweaving these two lines that progressed in separate ways but whose common applications been more frequent. Among other attributes, Author Keywords Plus are used as units analysis enable us identify changes topics interest related bibliography. By considering co-occurrence those keywords with Keyword \texttt{Complexity}, we provide overview evolution Complexity Sciences, compare this seven fields. The results show considerable increase number papers dealing complexity, well general tendency different disciplines literature move from foundational, conceptual applied specific set co-occurring keywords. Moreover, evidence changing topologies networks keywords, which described through computation some coefficients. In so doing, emphasize distinguishing