Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Steps in Outbreak Investigation01:18

Steps in Outbreak Investigation

101
In the ever-evolving field of public health, statistical analysis serves as a cornerstone for understanding and managing disease outbreaks. By leveraging various statistical tools, health professionals can predict potential outbreaks, analyze ongoing situations, and devise effective responses to mitigate impact. For that to happen, there are a few possible stages of the analysis:
101
Infection01:20

Infection

6.9K
When a pathogen enters the body and reproduces, it can cause an infection, damage body cells, and cause illness symptoms that eventually lead to disease. Therefore, its prevention requires breaking the chain of infection.
The chain begins with pathogens: bacteria, viruses, fungi, prions, or parasites such as protozoa helminths. These can be present on the skin as transient or resident flora, or they can be acquired from the environment. Identifying and treating the type of infection and...
6.9K
Relationship Formation02:12

Relationship Formation

39.5K
What do you think is the single most influential factor in determining with whom you become friends and whom you form romantic relationships? You might be surprised to learn that the answer is simple: the people with whom you have the most contact. This most important factor is proximity. You are more likely to be friends with people you have regular contact with. For example, there are decades of research that shows that you are more likely to become friends with people who live in your dorm,...
39.5K
Levels of Communication II: Organizational, Public, and Group Dynamics01:27

Levels of Communication II: Organizational, Public, and Group Dynamics

2.0K
Effective communication is the foundation of a good organization. Communication is the lifeblood of an organization that connects the group with messages. In an organization, communication occurs in upward, downward, and horizontal lines. Downward communication travels from the administrative and senior levels to the staff through official channels such as manuals, rules and regulations, and organizational charts. Staff members initiate upward communication, which is addressed to executives and...
2.0K
Gene Flow02:39

Gene Flow

34.5K
Gene flow is the transfer of genes among populations, resulting from either the dispersal of gametes or from the migration of individuals.
34.5K
Distribution and Dispersion00:54

Distribution and Dispersion

21.5K
To understand intra-specific interactions in populations, scientists measure the spatial arrangement of species individuals. This geographic arrangement is known as the species distribution or dispersion. Highly territorial species exhibit a uniform distribution pattern, in which individuals are spaced at relatively equal distances from one another. Species that are highly tied to particular resources, such as food or shelter, tend to concentrate around those resources, and thus exhibit a...
21.5K

You might also read

Related Articles

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

Sort by
Same author

A light-initiated chemical reporter strategy for spatiotemporal labeling of biomolecules.

RSC chemical biology·2022
Same author

Downregulation of HULC Induces Ferroptosis in Hepatocellular Carcinoma via Targeting of the miR-3200-5p/ATF4 Axis.

Oxidative medicine and cellular longevity·2022
Same author

Effect of Programmed Nursing Plan Based on Thinking Map Guidance Mode on Hemodynamics and Intestinal Function Recovery of Patients Undergoing Endoscopic Retrograde Cholangiopancreatography.

Emergency medicine international·2022
Same author

In vivo non-invasive confocal fluorescence imaging beyond 1,700 nm using superconducting nanowire single-photon detectors.

Nature nanotechnology·2022
Same author

Primary signet ring cell carcinoma of the appendix: An interesting case.

The American journal of the medical sciences·2022
Same author

MYC drives autophagy to adapt to stress in Penaeus vannamei.

Fish & shellfish immunology·2022

Related Experiment Video

Updated: May 21, 2025

Monitoring Spatial Segregation in Surface Colonizing Microbial Populations
07:40

Monitoring Spatial Segregation in Surface Colonizing Microbial Populations

Published on: October 29, 2016

10.2K

Identifying influential spreaders based on improving communication transmission model and network structure.

Shimeng Zhang1,2, Zejun Sun3,4, Guan Wang1,2

  • 1School of Information Engineering, Pingdingshan University, Pingdingshan, Henan, China.

Scientific Reports
|March 19, 2025
PubMed
Summary

This study introduces a new method for identifying key nodes in complex networks by combining communication transmission theory and the law of gravity. The approach enhances network analysis and node importance evaluation across diverse applications.

Keywords:
Complex networksGravity modelSIR modelShannon channel capacity

More Related Videos

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
10:44

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

Published on: December 7, 2021

2.1K
Divergence of Root Microbiota in Different Habitats based on Weighted Correlation Networks
09:49

Divergence of Root Microbiota in Different Habitats based on Weighted Correlation Networks

Published on: September 25, 2021

4.3K

Related Experiment Videos

Last Updated: May 21, 2025

Monitoring Spatial Segregation in Surface Colonizing Microbial Populations
07:40

Monitoring Spatial Segregation in Surface Colonizing Microbial Populations

Published on: October 29, 2016

10.2K
Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
10:44

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

Published on: December 7, 2021

2.1K
Divergence of Root Microbiota in Different Habitats based on Weighted Correlation Networks
09:49

Divergence of Root Microbiota in Different Habitats based on Weighted Correlation Networks

Published on: September 25, 2021

4.3K

Area of Science:

  • Complex network analysis
  • Network science
  • Systems engineering

Background:

  • Key node identification is crucial in diverse fields like marketing, epidemiology, and infrastructure management.
  • Existing algorithms for identifying critical nodes often have limitations, such as single evaluation metrics and narrow applicability.
  • There is a need for more comprehensive and versatile methods to accurately identify key nodes in complex networks.

Purpose of the Study:

  • To propose a novel method for identifying key nodes in complex networks.
  • To integrate principles from communication transmission theory and the law of gravity for enhanced node evaluation.
  • To address the limitations of existing methods by considering network structure and multi-hop neighbor importance.

Main Methods:

  • Developed a new algorithm integrating the Shannon channel capacity model and the gravity model.
  • The method evaluates nodes based on their own importance and the proximity of their neighbors within two hops.
  • Utilized extensive experimentation to compare the proposed algorithm against existing representative methods.

Main Results:

  • The proposed algorithm demonstrated superior performance compared to recent representative methods.
  • Key performance indicators included consistency with the SIR (Susceptible-Infected-Recovered) model, similarity of Top-N nodes, and node importance differentiation.
  • Real-world validation on COVID-19 networks confirmed the algorithm's effectiveness.

Conclusions:

  • The novel key node identification method offers a more comprehensive and effective approach.
  • The integration of communication and gravity models provides a robust framework for network analysis.
  • The algorithm's validated effectiveness on real-world data, including epidemic networks, highlights its practical utility.