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Related Concept Videos

Trait Centrality01:21

Trait Centrality

Trait centrality refers to the degree to which a particular characteristic influences the overall impression of an individual. Some traits exert a disproportionately strong impact on perception, shaping how people interpret other attributes of a person. Solomon Asch first systematically studied this phenomenon in 1946.Asch’s Experiment on Trait CentralityAsch's seminal study demonstrated the centrality of certain traits through a controlled experiment. Participants were presented with a list of...
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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,...
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Hierarchy of Motor Control01:18

Hierarchy of Motor Control

The hierarchy of motor control refers to the different levels of organization and processing involved in controlling movement in the body. These levels range from higher cortical areas involved in planning and decision-making to lower spinal cord reflexes that respond automatically to external stimuli.
Assembly of Complex Microtubule Structures01:32

Assembly of Complex Microtubule Structures

Complex microtubule structures are present in resting cells and in dividing cells. In resting cells, they are responsible for maintaining the cellular architecture, tracks for intracellular transport, positioning of organelles, assembly of cilia and flagella. They mediate the bipolar spindle assembly for chromosomal segregation and positioning of the cell division plate in dividing cells. The formation of microtubule complex structures depends on the cell type, cell stage, and cell function.
Lattice Centering and Coordination Number02:33

Lattice Centering and Coordination Number

The structure of a crystalline solid, whether a metal or not, is best described by considering its simplest repeating unit, which is referred to as its unit cell. The unit cell consists of lattice points that represent the locations of atoms or ions. The entire structure then consists of this unit cell repeating in three dimensions. The three different types of unit cells present in the cubic lattice are illustrated in Figure 1.
Types of Unit Cells
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Related Experiment Video

Updated: May 18, 2026

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

Control centrality and hierarchical structure in complex networks.

Yang-Yu Liu1, Jean-Jacques Slotine, Albert-László Barabási

  • 1Center for Complex Network Research and Department of Physics,Northeastern University, Boston, Massachusetts, United States of America.

Plos One
|October 3, 2012
PubMed
Summary
This summary is machine-generated.

We introduce control centrality to measure a node's ability to control directed networks. This measure is linked to network structure and can inform strategies against malicious networks.

Related Experiment Videos

Last Updated: May 18, 2026

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

Area of Science:

  • Network Science
  • Complex Systems Analysis
  • Graph Theory

Background:

  • Understanding network controllability is crucial for analyzing complex systems.
  • Existing methods may not fully capture the influence of individual nodes in directed networks.

Purpose of the Study:

  • To introduce and define 'control centrality' as a metric for node control in directed weighted networks.
  • To explore the relationship between control centrality, network topology, and hierarchical structures.
  • To develop an attack strategy targeting network controllability.

Main Methods:

  • Calculation of control centrality distribution across various real-world networks.
  • Analysis of the correlation between control centrality and degree distribution.
  • Investigation of control centrality in relation to topological position within hierarchical network structures.

Main Results:

  • Control centrality in directed networks is primarily dictated by the degree distribution.
  • In acyclic directed networks, control centrality is determined by the node's layer index or hierarchical position.
  • A novel, efficient attack strategy against network controllability was designed based on these findings.

Conclusions:

  • Control centrality provides a robust measure of a node's influence in directed networks.
  • The hierarchical structure significantly impacts control centrality, offering insights into network organization.
  • The developed attack strategy demonstrates practical applications in network security and disruption.