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Connectivity and complex systems: learning from a multi-disciplinary perspective.

Laura Turnbull1, Marc-Thorsten Hütt2, Andreas A Ioannides3

  • 11Durham University, Durham, UK.

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Summary
This summary is machine-generated.

Connectivity is a key concept for understanding complex systems across many fields. This review explores challenges and proposes a network-based toolbox to unify connectivity approaches and overcome disciplinary constraints.

Keywords:
Connectivity StudiesEmergent BehaviourFunctional ConnectivityFundamental UnitMeasuring ConnectivityStructural Connectivity

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Area of Science:

  • Interdisciplinary studies
  • Complex systems science
  • Network science

Background:

  • Connectivity is a concept used across disciplines to describe complex systems.
  • Disciplinary approaches to connectivity have evolved independently, yet share similarities.
  • Implementing connectivity concepts faces ontological and epistemological challenges.

Purpose of the Study:

  • To explore four key challenges in applying connectivity to complex systems.
  • To examine discipline-specific insights from diverse fields.
  • To propose a unified approach for connectivity studies.

Main Methods:

  • Review of literature across Computational Neuroscience, Ecology, Geomorphology, Neuroscience, Social Network Science, and Systems Biology.
  • Analysis of ontological and epistemological constraints in defining units, separating structural and functional connectivity, understanding emergent behavior, and measuring connectivity.
  • Evaluation of how connectivity-based approaches enhance understanding of complex systems.

Main Results:

  • Identified four major challenges in the conceptualization and application of connectivity across disciplines.
  • Demonstrated similarities and differences in connectivity approaches across diverse scientific fields.
  • Highlighted the potential of network-based methods to address these challenges.

Conclusions:

  • A unified 'common toolbox' for connectivity studies is proposed, based on network approaches.
  • Overcoming existing constraints can advance the understanding of complex systems through connectivity.
  • Interdisciplinary collaboration is crucial for developing universal connectivity frameworks.