LRDCs at <i>l</i> = 2 in real networks in Table 2.

LRDCs at <i>l</i> = 2 in real networks in Table 2.

<p>Solid squares represent the <i>r</i><sub>2</sub>-values for real-world networks. Open circles denote calculated as the average <i>r</i><sub>2</sub> values over 100 realizations of the corresponding 1-NNCRNs, with error bars indicating the stan...

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Bibliographic Details
Main Author:	Yuka Fujiki (12269596) (author)
Other Authors:	Stefan Junk (22793967) (author)
Published:	2025
Subjects:	Cell Biology Neuroscience Biotechnology Evolutionary Biology Developmental Biology Mental Health Infectious Diseases Computational Biology Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Physical Sciences not elsewhere classified shortest path length highly assortative power based targeted attacks >< sub >< using two steps power law distributions >- th nearest heterogeneous degree distributions div >< p >< sub xmlns ></ sub two nodes >- nncrns typical cases simulated cases results show random node r </ pearson ’ numerically investigate maximally random law networks l </ hastings algorithm farther scales differs depending degree distribution degree correlations degree correlation degree correlated correlation coefficient adopted poisson
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Summary:	<p>Solid squares represent the <i>r</i><sub>2</sub>-values for real-world networks. Open circles denote calculated as the average <i>r</i><sub>2</sub> values over 100 realizations of the corresponding 1-NNCRNs, with error bars indicating the standard deviation.</p>

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