How new concepts become universal scientific approaches: insights from citation network analysis of agent-based complex systems science.

ABSTRACT: Progress in understanding and managing complex systems comprised of decision-making agents, such as cells, organisms, ecosystems or societies, is-like many scientific endeavours-limited by disciplinary boundaries. These boundaries, however, are moving and can actively be made porous or even disappear. To study this process, I advanced an original bibliometric approach based on network analysis to track and understand the development of the model-based science of agent-based complex systems (ACS). I analysed research citations between the two communities devoted to ACS research, namely agent-based (ABM) and individual-based modelling (IBM). Both terms refer to the same approach, yet the former is preferred in engineering and social sciences, while the latter prevails in natural sciences. Th

SUBMITTER: Vincenot CE 

PROVIDER: S-EPMC5879153 | biostudies-literature | 2018 Mar

REPOSITORIES: biostudies-literature