Correlated network of networks enhances robustness against catastrophic failures.

PLoS One

Levich Institute and Physics Department, City College of New York, New York, New York 10031, United States of America.

Published: July 2018

Networks in nature rarely function in isolation but instead interact with one another with a form of a network of networks (NoN). A network of networks with interdependency between distinct networks contains instability of abrupt collapse related to the global rule of activation. As a remedy of the collapse instability, here we investigate a model of correlated NoN. We find that the collapse instability can be removed when hubs provide the majority of interconnections and interconnections are convergent between hubs. Thus, our study identifies a stable structure of correlated NoN against catastrophic failures. Our result further suggests a plausible way to enhance network robustness by manipulating connection patterns, along with other methods such as controlling the state of node based on a local rule.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5905981PMC
http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0195539PLOS

Publication Analysis

Top Keywords

network networks
12
catastrophic failures
8
collapse instability
8
networks
5
correlated network
4
networks enhances
4
enhances robustness
4
robustness catastrophic
4
failures networks
4
networks nature
4

Similar Publications

PHIStruct: Improving phage-host interaction prediction at low sequence similarity settings using structure-aware protein embeddings.

Bioinformatics

January 2025

Bioinformatics Lab, Advanced Research Institute for Informatics, Computing and Networking, De La Salle University, Manila, 1004, Philippines.

Motivation: Recent computational approaches for predicting phage-host interaction have explored the use of sequence-only protein language models to produce embeddings of phage proteins without manual feature engineering. However, these embeddings do not directly capture protein structure information and structure-informed signals related to host specificity.

Results: We present PHIStruct, a multilayer perceptron that takes in structure-aware embeddings of receptor-binding proteins, generated via the structure-aware protein language model SaProt, and then predicts the host from among the ESKAPEE genera.

View Article and Find Full Text PDF

Importance: Cell and gene therapies are revolutionizing the treatment landscape for children and adults with rare diseases and can be life-changing for patients and their families. Successful implementation of these new therapies into clinical practice depends on their accessibility and affordability, particularly through publicly funded Medicaid agencies, which cover many children and adults with rare diseases.

Objective: To provide a framework to broadly assess cell and gene therapies, evaluate payment options, and ensure equitable access through the lens of publicly funded Medicaid programs.

View Article and Find Full Text PDF

Antiviral Medications for Treatment of Nonsevere Influenza: A Systematic Review and Network Meta-Analysis.

JAMA Intern Med

January 2025

Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada.

Importance: The optimal antiviral drug for treatment of nonsevere influenza remains unclear.

Objective: To compare effects of antiviral drugs for treating nonsevere influenza.

Data Sources: MEDLINE, Embase, CENTRAL, CINAHL, Global Health, Epistemonikos, and ClinicalTrials.

View Article and Find Full Text PDF

Human performance in psychophysical detection and discrimination tasks is limited by inner noise. It is unclear to what extent this inner noise arises from early noise (e.g.

View Article and Find Full Text PDF

Background: Several health care networks have fully adopted second-generation supraglottic airway (SGA) i-gel. Real-world evidence of enhanced patient safety after such practice change is lacking. We hypothesized that the implementation of i-gel compared to the previous LMA®-Unique™ would be associated with a lower risk of airway-related safety events.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!