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

Stress Concentrations01:24

Stress Concentrations

769
Stress concentration is when stress intensifies near discontinuities such as holes or abrupt cross-sectional changes in a structural member. This localized stress can often surpass the average stress within the member. The stress distribution in flat bars, either with a circular hole or varying widths connected by fillets, can be determined experimentally using a photoelastic method. The results are based on ratios of geometric parameters like the ratio of the hole's radius to the smaller...
769
Stress Concentrations01:13

Stress Concentrations

756
The concept of stress concentration is crucial for understanding how materials respond under bending stresses, particularly when there are irregularities or discontinuities in the material's geometry. Normally, stress in a symmetric member subjected to pure bending is assumed to be uniformly distributed across the entire cross-section. However, this assumption does not hold when there are variations in the cross-sectional geometry or the presence of notches and holes.
The stress...
756
Relation Between the Distributed Load and Shear01:23

Relation Between the Distributed Load and Shear

1.2K
Understanding the relationship between the distributed load and shear force in structural analysis is crucial for analyzing beams subjected to various loading conditions. Consider the case of a beam experiencing a distributed load, two concentrated loads, and a couple moment.
1.2K
Sequence Networks of Rotating Machines01:24

Sequence Networks of Rotating Machines

519
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...
519
Network Covalent Solids02:18

Network Covalent Solids

16.5K
Network covalent solids contain a three-dimensional network of covalently bonded atoms as found in the crystal structures of nonmetals like diamond, graphite, silicon, and some covalent compounds, such as silicon dioxide (sand) and silicon carbide (carborundum, the abrasive on sandpaper). Many minerals have networks of covalent bonds.
To break or to melt a covalent network solid, covalent bonds must be broken. Because covalent bonds are relatively strong, covalent network solids are typically...
16.5K
Social Loafing01:37

Social Loafing

39.8K
Another way in which a group presence can affect performance is social loafing—the exertion of less effort by a person working together with a group. Social loafing occurs when our individual performance cannot be evaluated separately from the group. Thus, group performance declines on easy tasks (Karau & Williams, 1993). Essentially individual group members loaf and let other group members pick up the slack. Because each individual’s efforts cannot be evaluated,...
39.8K

You might also read

Related Articles

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

Sort by
Same author

Nano-Confined Radical Anion as An NIR-II Photothermal Immunogenic Amplifier for In Situ Cancer Vaccination.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2026
Same author

Hepatic Epstein-Barr Virus-Positive Inflammatory Follicular Dendritic Cell Sarcoma: A Diagnostic Imaging Challenge - A Focused Review and Case Report.

Current medical imaging·2026
Same author

Pan-cancer multi-omics analysis identifies SYNGR4 as a novel clinical prognostic biomarker and therapeutic target in lung adenocarcinoma.

Discover oncology·2026
Same author

Prostaglandin E2 alleviates acetaminophen-induced liver injury through DDIT4-enhanced autophagy regulated by circLima1/miR-486.

Scientific reports·2026
Same author

A tumor microenvironment-focused signature based on m6A and lactylation modification predicts prognosis and immunotherapy response in hepatocellular carcinoma.

Discover oncology·2026
Same author

Multifunctional interface engineering: Tailoring mechanical and UV-resistant properties of PLA/PBAT-based composites via epoxy-functionalized carbon dots.

International journal of biological macromolecules·2026
Same journal

Epidemiological characteristics of amebiasis in Japan from 2001 to 2022.

PloS one·2026
Same journal

Longitudinal associations of academic stress with eating related patterns, nutrition, somatic indicators, and depressive symptoms in university students: A study protocol.

PloS one·2026
Same journal

Pollution removal efficiency enhancement by agricultural biomass additions in constructed wetlands: A framework integrating meta-analysis with explainable machine learning.

PloS one·2026
Same journal

Insulation failure mapping on power transformer bushing using FRA and electrostatic simulation.

PloS one·2026
Same journal

Enhancing medical Q&A systems with multimodal knowledge graphs and dual-layer attention mechanisms.

PloS one·2026
Same journal

UAMP: Consistent video object segmentation with uncertainty-aware memory propagation.

PloS one·2026
See all related articles

Related Experiment Video

Updated: Mar 20, 2026

Soft Pneumatic Robot Modulates Graph Theory Metrics of Brain Network for Hand Rehabilitation After Stroke
05:30

Soft Pneumatic Robot Modulates Graph Theory Metrics of Brain Network for Hand Rehabilitation After Stroke

Published on: October 10, 2025

597

Spreading Effect in Industrial Complex Network Based on Revised Structural Holes Theory.

Lizhi Xing1, Qing Ye2, Jun Guan1

  • 1Department of Business Administration, School of Economics and Management, Beijing University of Technology, Beijing, China.

Plos One
|May 25, 2016
PubMed
Summary
This summary is machine-generated.

This study uses complex network analysis to understand industry dynamics. Sectors with high connectivity act as crucial brokers, significantly influencing economic development through value chain transmission.

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

2.7K
Modeling the Functional Network for Spatial Navigation in the Human Brain
05:55

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

1.6K

Related Experiment Videos

Last Updated: Mar 20, 2026

Soft Pneumatic Robot Modulates Graph Theory Metrics of Brain Network for Hand Rehabilitation After Stroke
05:30

Soft Pneumatic Robot Modulates Graph Theory Metrics of Brain Network for Hand Rehabilitation After Stroke

Published on: October 10, 2025

597
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

2.7K
Modeling the Functional Network for Spatial Navigation in the Human Brain
05:55

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

1.6K

Area of Science:

  • Econophysics
  • Economic Complexity
  • Network Science

Background:

  • Traditional input-output analysis offers static insights into industrial sectors.
  • Understanding the dynamic impact of inter-industry interactions on economic development is crucial.
  • Existing methods lack a dynamic approach to analyze industrial sector influence.

Purpose of the Study:

  • To develop a dynamic model for analyzing the spreading effect of industrial sectors.
  • To bridge the gap between static input-output analysis and dynamic economic processes.
  • To identify key industrial sectors driving economic development through network effects.

Main Methods:

  • Utilizing complex network models based on World Input-Output Database (WIOD) data.
  • Applying revised structural holes theory.
  • Employing flow betweenness and random walk centrality to measure spreading effects.

Main Results:

  • Industries with high flow betweenness exhibit significant long-term spreading effects.
  • Sectors with high random walk centrality demonstrate substantial short-term spreading effects.
  • These central industries act as brokers, enhancing value stream transmission and economic impact.

Conclusions:

  • Complex network analysis provides a dynamic perspective on industrial sector influence.
  • Flow betweenness and random walk centrality are effective metrics for assessing economic spreading effects.
  • Identifying and understanding these key industrial sectors is vital for economic development strategies.