Complex Networks as a Shared Framework
Complex network analysis provides a common language for systems composed of interdependent actors, places, organisations, or flows. Across Junyao He’s research, the central concern is how relational structure shapes access, influence, mobility, and inequality.
Network representations
- Cities connected by migration or digital nomad flows
- Residential and employment locations connected by job home relations
- Regions connected through innovation and cooperation
- Social actors connected through online interaction
- Firms and establishments connected through multi location structures
Analytical dimensions
Relevant dimensions include centrality, hierarchy, reciprocity, community structure, reach, diversity, spatial distance, concentration, assortativity, and temporal evolution.
Network analysis can be combined with spatial econometrics, causal inference, agent based modelling, and interpretable machine learning.