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"A data table comparing empirical urban scaling exponents to the Information Energy Maximization (IEM) model. Using the connectivity tax constant ks = 0.22, the model predicts an infrastructure exponent of 1.22, showing a 0.00 deviation from PNAS Nexus empirical data for the 1.22 urban limit. It also aligns with Kleiber’s Law (0.75) for biological metabolic scaling."

"A data table comparing empirical urban scaling exponents to the Information Energy Maximization (IEM) model. Using the connectivity tax constant ks = 0.22, the model predicts an infrastructure exponent of 1.22, showing a 0.00 deviation from PNAS Nexus empirical data for the 1.22 urban limit. It also aligns with Kleiber’s Law (0.75) for biological metabolic scaling."

Verification of the 1.22 Urban Scaling limit using Information Energy Maximization (IEM). Results show 0.00 deviation from PNAS Nexus data using constant \bm{k_s = 0.22}.
Urban scaling and Kleiber law complete
Full derivation and DOI: 10.17605/OSF.IO/9VQ8K
#NetSciX2026 #NetSci #UrbanScaling #Science

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The Scales-Kleiber Unification
Finalized the 0.22 Constant:
The thermodynamic invariant for metabolic maintenance. This is the absolute bioenergetic "floor" for social systems.🧪🧠
Physics defines the geometry of life
DOI: 10.17605/OSF.I0/9VQ8K

#NetSciX2026 #NetSci #UrbanScaling #Science

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"One-dimensional urban scaling"; for illustrative purposes we discuss approx. 1D cities and show that an agglomeration effect occurs if the population’s accessibility decreases more slowly than the increase in distance journals.sagepub.com/doi/10.1177/... @fribeiro.bsky.social #urbanscaling

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Article information including DOI, title, authors, abstract and keywords.

Article information including DOI, title, authors, abstract and keywords.

Are urban labour markets more dynamic? Vacancies and urban scaling by @hjrouwendal.bsky.social and Jan Rouwendal

buff.ly/5y0Y2L4

#OpenAccess #UrbanScaling #LabourMarkets

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Validating Urban Scaling Laws through Mobile Phone Data: A Continental-Scale Analysis of Brazil's Largest Cities \abstract{Urban scaling theories posit that larger cities exhibit disproportionately higher levels of socioeconomic activity and human interactions. Yet, evidence from developing contexts (especially ...

Proud of what we've accomplished with this collaborative effort! #UrbanScaling #ComplexSystems #DataScience
arxiv.org/abs/2503.00550

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🚀 Our new preprint on the scaling of one-dimensional cities is out! 📄🌆

Excited to share this work with @diegorybski.bsky.social & @renabridged. Check it out:
🔗 arxiv.org/html/2501.12...

#UrbanScaling #ComplexSystems #Cities #scalinglaws
#TheLine #NEOM

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Our new paper, "Impact of inter-city interactions on disease scaling," is out in Scientific Reports! We explore how population & commuting networks drive infectious disease incidence across Brazilian cities.

🔗 www.nature.com/articles/s41...

#UrbanScaling #Epidemiology

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Our new study explores how diffusion process unveils the connection between #fractal city dimensions and allometric exponents.
authors.elsevier.com/a/1kF%7E83QI...

#UrbanScaling #ComplexSystems

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The robustness of #UrbanScaling through time: Despite the chaotic "movement" of individual cities, the slope of the red straight line (across city fit) remains constant. 📈 Dive into the details in our paper:
journals.plos.org/plosone/arti...
#complexity #cityscience #cities #scalinglaws

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Presenting on #urbanscaling at the National Encounter on Statistical Physics! 🏙️ Exploring how cities grow, connect, and innovate through the lens of scaling laws.
Details in our recent work:
dx.doi.org/10.1016/j.physrep.2023.02.002
#ENFE2024 #UrbanStudies #urbancomplexity

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