Aims & Scopes

npj Complexity considers research that explores all aspects of complex systems at the interface of multiple fields.

The journal covers a broad range of topics including but not limited to:

  • Network science, including the analysis of complex networks such as social networks, biological networks, infrastructure and information networks
  • Emergent phenomena, self-organization, and scaling in complex systems
  • Nonlinear dynamics, chaos theory, and dynamical systems theory
  • Agent-based modeling and simulation techniques for studying complex systems
  • Complex adaptive systems, such as adaptive behavior in biological, ecological, and social systems
  • Multi-scale analysis techniques across different levels of organization, from micro to macro scales
  • Robustness and resilience of complex systems
  • Evolutionary dynamics and game theory
  • Digital humanities, dynamics of information, and science of science
  • Information processing and computation in complex systems and artificial intelligence
  • Interdisciplinary approaches to complex problems such as epidemics, climate change, misinformation, governance, and sustainability

The journal offers more choice to Nature Portfolio authors who are seeking a fully open-access and more inclusive platform for publishing their work. The journal is led by complex systems experts who collaborate to cultivate high-quality research. As part of the npj Series, this journal focuses on fostering global partnerships with the research community and other Springer Nature journals.