Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Short-distance Transport of Resources

Short-distance Transport of Resources

Short-distance transport refers to transport that occurs over a distance of just 2-3 cells, crossing the plasma membrane in the process. Small uncharged molecules, such as oxygen, carbon dioxide, and water, can diffuse across the plasma membrane on their own. In contrast, ions and larger molecules require the assistance of transport proteins due to their charge or size. Transport across membranes also occurs within individual cells, playing a variety of essential roles for the plant as a whole.

Distributed Loads: Problem Solving

Distributed Loads: Problem Solving

Beams are structural elements commonly employed in engineering applications requiring different load-carrying capacities. The first step in analyzing a beam under a distributed load is to simplify the problem by dividing the load into smaller regions, which allows one to consider each region separately and calculate the magnitude of the equivalent resultant load acting on each portion of the beam. The magnitude of the equivalent resultant load for each region can be determined by calculating...

Sequence Networks of Rotating Machines

Sequence Networks of Rotating Machines

A Y-connected synchronous generator, grounded through a neutral impedance, is designed to produce balanced internal phase voltages with only positive-sequence components. The generator's sequence networks include a source voltage that is exclusively in the positive-sequence network. The sequence components of line-to-ground voltages at the generator terminals illustrate this configuration.
Zero-sequence current induces a voltage drop across the generator's neutral impedance and other...

Nonlinear Pharmacokinetics: Role of Transporters

Nonlinear Pharmacokinetics: Role of Transporters

A drug's nonlinear kinetics can be influenced by a diverse range of transporter proteins that serve as crucial players in drug distribution. These transporters, found within cells, can enhance or reduce local drug concentrations by facilitating the influx or efflux of drugs. For instance, the expression of xenobiotic transporters can be influenced by factors such as age and gender, potentially impacting the linearity of drug response.
Polymorphisms occurring in drug transporters can alter...

Reynolds Transport Theorem

Reynolds Transport Theorem

The Reynolds transport theorem provides a framework to relate the time rate of change of an extensive property within a system to that in a control volume, which is crucial for analyzing fluid dynamics. Extensive properties, such as mass, velocity, acceleration, temperature, and momentum, can be expressed in terms of the mass of a fluid portion. These properties are called extensive because they depend on the system's size, while intensive properties are their corresponding values per unit mass.

Protein Networks

Protein Networks

An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Complexity and dynamics of partially symmetric random neural networks.

ArXiv·2026

Same author

From Chaos to Coherence: Effects of High-Order Synaptic Correlations on Neural Dynamics.

ArXiv·2025

Same author

Extreme Value Statistics of Community Detection in Complex Networks with Reduced Network Extremal Ensemble Learning (RenEEL).

Entropy (Basel, Switzerland)·2025

Same author

Hierarchical Modular Structure of the <i>Drosophila</i> Connectome.

The Journal of neuroscience : the official journal of the Society for Neuroscience·2023

Same author

How High-Risk Comorbidities Co-Occur in Readmitted Patients With Hip Fracture: Big Data Visual Analytical Approach.

JMIR medical informatics·2020

Same author

Reduced network extremal ensemble learning (RenEEL) scheme for community detection in complex networks.

Scientific reports·2019

Search research articles

Related Experiment Video

Updated: Jul 13, 2026

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

Transport optimization on complex networks.

Bogdan Danila¹, Yong Yu, John A Marsh

¹Department of Physics, The University of Houston, Houston, Texas 77204-5005, USA. dbogdan@mail.uh.edu

Chaos (Woodbury, N.Y.)

|July 7, 2007

Summary

A new heuristic algorithm optimizes transport networks by minimizing node betweenness, significantly increasing traffic capacity and reducing travel times compared to shortest path routing.

Area of Science:

Network Science
Optimization Algorithms
Complex Systems

Background:

Complex networks are ubiquitous in nature and technology.
Efficient transport and routing are critical for network performance.
Existing shortest path routing can lead to congestion and inefficiencies.

Purpose of the Study:

To apply a novel heuristic algorithm for transport optimization on complex networks.
To compare the performance of optimal routing against shortest path routing.
To analyze the impact of optimal routing on network traffic, travel times, and network characteristics.

Main Methods:

Iterative traffic balancing algorithm minimizing maximum node betweenness.
Comparative analysis across three major types of complex networks.

More Related Videos

Modeling the Functional Network for Spatial Navigation in the Human Brain

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

Related Experiment Videos

Last Updated: Jul 13, 2026

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

Modeling the Functional Network for Spatial Navigation in the Human Brain

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

Mathematical formula derivation for average hops and travel times.

Numerical simulations for validation and performance assessment.

Main Results:

Optimal routing significantly enhances network traffic capacity, preventing jamming.
A derived formula accurately predicts average hops and travel times.
Network small-world properties are preserved under optimal routing.
Average travel times are substantially reduced on congested networks.

Conclusions:

The heuristic algorithm offers superior transport optimization for complex networks.
Optimal routing provides a robust solution for managing network traffic and reducing delays.
The findings have implications for designing and managing efficient large-scale networks.