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

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,...

Protein Networks

Protein Networks

Mechanistic Models: Overview of Compartment Models

Mechanistic Models: Overview of Compartment Models

Mechanistic models, a category encompassing both physiological and compartmental modeling, differ from empirical models' approaches to incorporating known factors about the systems being modeled. Empirical models describe data with minimal assumptions, while mechanistic models aim to provide a robust description of available data by specifying assumptions and integrating known factors about the system. Compartmental analysis is a key example of a mechanistic model in pharmacokinetics and...

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...

Molecular Models

Molecular Models

Physical models representing molecular architectures of chemical compounds play essential roles in understanding chemistry. The use of molecular models makes it easier to visualize the structures and shapes of atoms and molecules.

Pharmacodynamic Models: Link Model and Systems Pharmacodynamic Model

Pharmacodynamic Models: Link Model and Systems Pharmacodynamic Model

The link model is a fundamental pharmacokinetic-pharmacodynamic (PK–PD) approach to account for delayed drug responses when the observed effect does not immediately correlate with the drug's plasma concentration peak. This delay is mathematically addressed by introducing an effect compartment concentration, Ce, which is kinetically linked to the plasma concentration, Cp, via a first-order rate constant, ke0. The linkage allows for a more accurate prediction of drug effects over time. A...

You might also read

Related Articles

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

Sort by

Same author

Macular neovascularization in patients with Gyrate atrophy.

Ophthalmic genetics·2026

Same author

Modeling individual self-protective behavior during epidemics.

PLoS computational biology·2026

Same author

How individuals' opinions influence society's resistance to epidemics: an agent-based model approach.

BMC public health·2024

Same author

Optimizing age specific strategies of vaccination for prevention of cytomegalovirus infection in the US using agent-based simulation.

Epidemics·2023

Same author

Modeling the spread of the Zika virus by sexual and mosquito transmission.

PloS one·2022

Same author

De novo prediction of RNA-protein interactions with graph neural networks.

RNA (New York, N.Y.)·2022

Same journal

Therapeutic potential of crude protein extracts from two Egyptian freshwater snails Lanistes carinatus and Bellamya unicolor.

Scientific reports·2026

Same journal

Microbial contamination of donor corneas and post-keratoplasty endophthalmitis: a comparison between Japanese and U.S. eye banks using cold storage.

Scientific reports·2026

Same journal

Prevalence and contributing factors of virological non-suppression among adult patients on first-line antiretroviral therapy in tertiary hospitals in Ethiopia.

Scientific reports·2026

Same journal

An in vitro comparison of color stability between alkasite and different restorative materials in various staining solutions.

Scientific reports·2026

Same journal

Toward accessible mRNA LNP formulation: systematic evaluation of mixing strategies and key parameters.

Scientific reports·2026

Same journal

A network analysis of personality traits, mentalizing, and psychological health in Chinese college students.

Scientific reports·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Feb 25, 2026

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

Action-based Modeling of Complex Networks.

Viplove Arora¹, Mario Ventresca²

¹School of Industrial Engineering, Purdue University, West Lafayette, IN, 47907, USA.

Scientific Reports

|July 29, 2017

Summary

This summary is machine-generated.

A new Action-based Modeling approach generates realistic complex networks. This method creates compact models for synthesizing networks of any size, comparable to state-of-the-art techniques.

More Related Videos

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline

Published on: December 7, 2021

Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms

Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms

Published on: November 1, 2019

Related Experiment Videos

Last Updated: Feb 25, 2026

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

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline

Published on: December 7, 2021

Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms

Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms

Published on: November 1, 2019

Area of Science:

Complex Systems Science
Network Science
Computational Social Science

Background:

Complex networks are crucial for modeling real-world systems.
Existing network generators struggle to replicate real-world network structures accurately.
There's a need for generators that produce realistic networks for tasks like null modeling and control.

Purpose of the Study:

To introduce a novel Action-based Modeling approach for synthesizing complex networks.
To develop a method that creates compact probabilistic models of target networks.
To enable the generation of networks with arbitrary size and diverse structural characteristics.

Main Methods:

Developed an Action-based Modeling approach to create probabilistic network models.
Synthesized networks of arbitrary size using the developed probabilistic models.
Performed statistical comparisons against existing state-of-the-art network generators.

Main Results:

The Action-based Modeling approach yields generators comparable to current state-of-the-art methods.
The generated networks exhibit strong resemblance to real-world networks.
The approach allows for the consideration of a wide range of structural characteristics.

Conclusions:

Action-based Modeling offers a robust and interpretable method for complex network synthesis.
This approach addresses the limitations of existing generators in capturing real-world network properties.
The method facilitates the creation of realistic network models for various applications.