Physical networks, composed of nodes and links that occupy a spatial volume, are hard to study with conventional techniques. A meta-graph approach that elucidates the impact of physicality on network structure has now been introduced.
This is a preview of subscription content, access via your institution
Access options
Access Nature and 54 other Nature Portfolio journals
Get Nature+, our best-value online-access subscription
$29.99 / 30 days
cancel any time
Subscribe to this journal
Receive 12 print issues and online access
$209.00 per year
only $17.42 per issue
Buy this article
- Purchase on Springer Link
- Instant access to full article PDF
Prices may be subject to local taxes which are calculated during checkout
References
Barabási, A.-L. Network Science (Cambridge University Press, 2016).
Wasserman, S. & Faust, K. Social Network Analysis: Methods and Applications (Cambridge University Press, 1994).
Ecological Networks: Linking Structure to Dynamics in Food Webs (eds Pascual, M. & Dunne, J. A.) (Oxford University Press, 2005).
Pastore y Piontti, A. et al. Charting the Next Pandemic: Modeling Infectious Disease Spreading in the Data Science Age (Springer, 2019).
Pósfai, M. et al. Nat. Phys. https://doi.org/10.1038/s41567-023-02267-1 (2023).
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Competing interests
The author declares no competing interests.
Rights and permissions
About this article
Cite this article
Toroczkai, Z. Graph theory captures hard-core exclusion. Nat. Phys. 20, 20–21 (2024). https://doi.org/10.1038/s41567-023-02342-7
Published:
Issue Date:
DOI: https://doi.org/10.1038/s41567-023-02342-7