This initiative aims to identify and structure the foundational contributions that define complex systems, network science, and related domains, across theory, methods, and applications. The goal is to build a coherent, field-wide reference that reflects how the discipline is actually used and understood across different subdomains.
In recent years, large-scale models and automated systems have made it possible to synthesize vast amounts of scientific information. However, identifying what is foundational — what truly shapes the conceptual and methodological backbone of a field — still requires distributed expert judgment. This effort is designed to complement algorithmic approaches by leveraging collective intelligence: many independent perspectives, aggregated into a structured view.
The objective is not to produce a simple ranking of famous papers, but to build a structured map of the field’s foundations, including works that may be missing from keyword-based or citation-based approaches.
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Complexity Digest 