The S, , and E dependence on the edge retention probability p during random edge failure in power-law networks.

<p>Here we plot the same information as <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0336970#pone.0336970.g003" target="_blank">Fig 3</a> for the set of 2-NNCRNs from <a href="http://www.plosone.org/article/info:doi/10.1371/journ...

Full description

Saved in:

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
Tags:	Add Tag No Tags, Be the first to tag this record!

The S, , and E dependence on the edge retention probability p during random edge failure in power-law networks.

Similar Items