Jove
Visualize
Contact Us

Related Concept Videos

Protein Networks02:26

Protein Networks

4.5K
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,...
4.5K
Protein Networks02:26

Protein Networks

2.8K
2.8K
Network Covalent Solids02:18

Network Covalent Solids

16.1K
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...
16.1K
Naturalistic Observations02:30

Naturalistic Observations

17.0K
If you want to understand how behavior occurs, one of the best ways to gain information is to simply observe the behavior in its natural context. However, people might change their behavior in unexpected ways if they know they are being observed. How do researchers obtain accurate information when people tend to hide their natural behavior? As an example, imagine that your professor asks everyone in your class to raise their hand if they always wash their hands after using the restroom. Chances...
17.0K
Actor-Observer Effect01:23

Actor-Observer Effect

356
The actor-observer effect, a cognitive bias closely linked to the fundamental attribution error, refers to the tendency for individuals to attribute their behavior to external, situational factors while explaining others’ behavior in terms of internal, dispositional traits. This asymmetry in attribution significantly influences social perception and judgment.Cognitive Mechanisms Behind the EffectTwo primary psychological mechanisms contribute to the actor-observer effect: differences in...
356
Observational Learning01:12

Observational Learning

854
Albert Bandura's observational learning, also known as imitation or modeling, occurs when a person observes and imitates another's behavior. It is a quicker process than operant conditioning. A well-known example is the Bobo doll study, where children who saw an adult acting aggressively towards the doll were more likely to act aggressively when left alone, compared to those who observed a nonaggressive adult. Many psychologists view observational learning as a form of latent learning...
854

You might also read

Related Articles

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

Sort by
Same journal

Stochastic Poincaré maps for a slow-fast system with white noises: Approximation and visualization.

Chaos (Woodbury, N.Y.)·2026
Same journal

On a stable torus in a 3D system with a saddle-focus.

Chaos (Woodbury, N.Y.)·2026
Same journal

Targeted interventions suppress epidemic outbreaks in spatial higher-order activity-driven networks.

Chaos (Woodbury, N.Y.)·2026
Same journal

Erratum: "Hierarchical organization of bursty trains in event sequences" [Chaos 35, 113115 (2025)].

Chaos (Woodbury, N.Y.)·2026
Same journal

Deterministic control of CW/CCW alternation by dual-frequency injection in a heterogeneous oscillator ring.

Chaos (Woodbury, N.Y.)·2026
Same journal

A CTRW-driven subdiffusive fractional Brownian bridge in the reconstruction of missing experimental data.

Chaos (Woodbury, N.Y.)·2026
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 Experiment Video

Updated: Jan 21, 2026

Human iPSC-Derived Cardiomyocyte Networks on Multiwell Micro-electrode Arrays for Recurrent Action Potential Recordings
08:53

Human iPSC-Derived Cardiomyocyte Networks on Multiwell Micro-electrode Arrays for Recurrent Action Potential Recordings

Published on: July 15, 2019

12.1K

Recurrence network analysis of exoplanetary observables.

Tamás Kovács1

  • 1Institute of Physics, Eötvös University, Pázmány P. s. 1A, Budapest 1117, Hungary.

Chaos (Woodbury, N.Y.)
|August 3, 2019
PubMed
Summary

Recurrence networks reveal distinct dynamical regimes in planetary systems. This complex network approach analyzes synthetic and real exoplanet data, opening new avenues for planetary dynamics research.

Area of Science:

  • Astronomy and Astrophysics
  • Complex Systems Science
  • Dynamical Systems Theory

Background:

  • Complex network theory offers novel analytical tools across various scientific disciplines.
  • Understanding exoplanetary dynamics is crucial for characterizing planetary systems.
  • Recurrence networks provide a framework to analyze time-series data from dynamical systems.

Purpose of the Study:

  • To investigate exoplanetary dynamics using the framework of complex networks, specifically recurrence networks.
  • To determine if network measures can differentiate between various dynamical regimes in planetary systems.
  • To apply this methodology to both synthetic and real astronomical data.

Main Methods:

  • Generation of synthetic time series data for a model planetary system.

More Related Videos

Network Analysis of the Default Mode Network Using Functional Connectivity MRI in Temporal Lobe Epilepsy
12:09

Network Analysis of the Default Mode Network Using Functional Connectivity MRI in Temporal Lobe Epilepsy

Published on: August 5, 2014

18.5K
Analysis of Tubular Membrane Networks in Cardiac Myocytes from Atria and Ventricles
10:30

Analysis of Tubular Membrane Networks in Cardiac Myocytes from Atria and Ventricles

Published on: October 15, 2014

21.0K

Related Experiment Videos

Last Updated: Jan 21, 2026

Human iPSC-Derived Cardiomyocyte Networks on Multiwell Micro-electrode Arrays for Recurrent Action Potential Recordings
08:53

Human iPSC-Derived Cardiomyocyte Networks on Multiwell Micro-electrode Arrays for Recurrent Action Potential Recordings

Published on: July 15, 2019

12.1K
Network Analysis of the Default Mode Network Using Functional Connectivity MRI in Temporal Lobe Epilepsy
12:09

Network Analysis of the Default Mode Network Using Functional Connectivity MRI in Temporal Lobe Epilepsy

Published on: August 5, 2014

18.5K
Analysis of Tubular Membrane Networks in Cardiac Myocytes from Atria and Ventricles
10:30

Analysis of Tubular Membrane Networks in Cardiac Myocytes from Atria and Ventricles

Published on: October 15, 2014

21.0K
  • Application of recurrence network construction to the time series data.
  • Calculation of various network measures to characterize the system's dynamics.
  • Analysis of real astronomical observations from state-of-the-art surveys using the same network framework.
  • Main Results:

    • Different dynamical regimes within the model planetary system were successfully recovered using network measures.
    • The complex network framework was effectively applied to real astronomical survey data.
    • The results obtained from analyzing real data align with findings from previous exoplanetary dynamics studies.

    Conclusions:

    • Recurrence networks provide a powerful and effective tool for analyzing exoplanetary dynamics.
    • This approach successfully distinguishes between different dynamical behaviors in planetary systems.
    • The study validates the use of complex network methods in astronomy and suggests future research directions.