The evolution of Complexity co-occurring keywords: bibliometric analysis and network approach
Tanya Ara\'ujo, Alexandre Abreu, Francisco Lou\c{c}\~a

TL;DR
This study combines bibliometric and network analysis to explore how research on Complexity Sciences has evolved across seven disciplines, highlighting shifts from conceptual to applied topics and changes in keyword network structures.
Contribution
It integrates bibliometric and network approaches to analyze keyword co-occurrence, revealing interdisciplinary evolution and topological changes in Complexity Sciences research.
Findings
Increase in complexity-related publications across disciplines
Shift from conceptual to applied complexity topics
Distinct network structures in different research areas
Abstract
Bibliometric studies based on the Web of Science (WOS) database have become an increasingly popular method for analysing the structure of scientific research. So do network approaches, which, based on empirical data, make it possible to characterize the emergence of topological structures over time and across multiple research areas. Our paper is a contribution to interweaving these two lines of research that have progressed in separate ways but whose common applications have been increasingly more frequent. Among other attributes, Author Keywords and Keywords Plus are used as units of analysis that enable us to identify changes in the topics of interest and related bibliography. By considering the co-occurrence of those keywords with the Author Keyword \texttt{Complexity}, we provide an overview of the evolution of studies on Complexity Sciences, and compare this evolution in seven…
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Taxonomy
TopicsComplex Network Analysis Techniques · Economic and Technological Innovation · Bioinformatics and Genomic Networks
