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

Ogive Graph01:07

Ogive Graph

6.7K
An ogive graph is sometimes called a cumulative frequency polygon. It is one type of frequency polygon that shows cumulative frequency. In other words, the cumulative percentages are added to the graph from left to right. An ogive graph plots cumulative frequency on the vertical y-axis and class boundaries along the horizontal x-axis. It’s very similar to a histogram; only instead of rectangles, an ogive displays a single point where the top right of the rectangle would be. Creating this...
6.7K
Graphing Antiderivatives01:30

Graphing Antiderivatives

49
The concept of an antiderivative is fundamental in calculus, describing how a function's values accumulate over time. This process is closely related to physical motion, such as the movement of a rolling ball. As the ball progresses, its position changes in response to variations in velocity, just as an antiderivative graph reflects the cumulative effect of the original function's values.Graphing an antiderivative requires interpreting how a function's values influence the shape of its...
49
Constraints and Statical Determinacy01:26

Constraints and Statical Determinacy

957
In structural engineering, the equilibrium of a system is not only determined by its equations of equilibrium but also with the help of constraints. Constraints refer to restrictions on the motion of a system. The proper combinations of constraints can minimize the total number of constraints needed to maintain a system in mechanical equilibrium. When this happens, the system is said to be statically determinate. For such systems, the unknown reaction supports can be estimated using equilibrium...
957
Theoretical Approaches to Psychological Disorder01:29

Theoretical Approaches to Psychological Disorder

828
The development of psychological disorders, which are characterized by deviant, maladaptive, and personally distressing behaviors, has been explored through several theoretical approaches.
Biological approach
The biological approach posits that internal, organic factors are the primary causes of such disorders. This perspective emphasizes brain structure and function, genetic predispositions, and neurotransmitter imbalances. For example, schizophrenia has been associated with both genetic...
828
Theoretical Foundations of Nursing Practice01:30

Theoretical Foundations of Nursing Practice

17.3K
Theories play an essential role in organizing patient care. Theories refer to a proposed or followed belief, policy, or procedure that is the basis for action. Nursing theories are knowledge-based concepts that guide nurses' actions, influence nursing education and practice, and allow nurses to care for their patients.
Theories provide a perspective to assess patients' conditions and organize data and methods. They also assist in analyzing and interpreting information. They represent a...
17.3K
Bar Graph01:07

Bar Graph

21.5K
A bar graph is also called a bar chart and consists of bars that are separated from each other. It either uses horizontal or vertical bars to show comparisons among categories. The bars can be rectangles, or they can be rectangular boxes (used in three-dimensional plots). One axis of the graph represents the specific categories being compared, and the other axis shows a discrete value. In this graph, the length of the bar for each category is proportional to the number or percent of individuals...
21.5K

You might also read

Related Articles

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

Sort by
Same author

Network-Based Epidemic Control Through Optimal Travel and Quarantine Management.

IEEE transactions on control of network systems·2026
Same author

One-Shot Averaging for Distributed TD(<i>λ</i>) Under Markov Sampling.

IEEE control systems letters·2025
Same author

A Sharp Estimate on the Transient Time of Distributed Stochastic Gradient Descent.

IEEE transactions on automatic control·2023
Same author

Asymptotic Network Independence in Distributed Stochastic Optimization for Machine Learning.

IEEE signal processing magazine·2021
Same author

Robust Asynchronous Stochastic Gradient-Push: Asymptotically Optimal and Network-Independent Performance for Strongly Convex Functions.

Journal of machine learning research : JMLR·2020
Same author

Federated learning of predictive models from federated Electronic Health Records.

International journal of medical informatics·2018

Related Experiment Video

Updated: Jan 23, 2026

Quantitative Analysis of Cell Edge Dynamics during Cell Spreading
10:54

Quantitative Analysis of Cell Edge Dynamics during Cell Spreading

Published on: May 22, 2021

5.9K

Graph-Theoretic Analysis of Belief System Dynamics under Logic Constraints.

Angelia Nedić1, Alex Olshevsky2, César A Uribe3

  • 1School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, 85287, USA.

Scientific Reports
|June 22, 2019
PubMed
Summary

Social opinion dynamics are shaped by interactions and logic, not just ideology. This study uses graph theory to analyze belief system convergence, revealing network and constraint impacts.

More Related Videos

Application of Voltage in Dynamic Light Scattering Particle Size Analysis
07:51

Application of Voltage in Dynamic Light Scattering Particle Size Analysis

Published on: January 24, 2020

10.4K
Kinetic Analysis of Vasculogenesis Quantifies Dynamics of Vasculogenesis and Angiogenesis In Vitro
11:03

Kinetic Analysis of Vasculogenesis Quantifies Dynamics of Vasculogenesis and Angiogenesis In Vitro

Published on: January 31, 2018

10.1K

Related Experiment Videos

Last Updated: Jan 23, 2026

Quantitative Analysis of Cell Edge Dynamics during Cell Spreading
10:54

Quantitative Analysis of Cell Edge Dynamics during Cell Spreading

Published on: May 22, 2021

5.9K
Application of Voltage in Dynamic Light Scattering Particle Size Analysis
07:51

Application of Voltage in Dynamic Light Scattering Particle Size Analysis

Published on: January 24, 2020

10.4K
Kinetic Analysis of Vasculogenesis Quantifies Dynamics of Vasculogenesis and Angiogenesis In Vitro
11:03

Kinetic Analysis of Vasculogenesis Quantifies Dynamics of Vasculogenesis and Angiogenesis In Vitro

Published on: January 31, 2018

10.1K

Area of Science:

  • Social network analysis
  • Computational social science
  • Opinion dynamics

Background:

  • Opinion formation is complex, influenced by social interactions and logical consistency of beliefs.
  • Traditional models often overlook the structural and logical underpinnings of belief systems.

Purpose of the Study:

  • To investigate the convergence properties of belief systems in social opinion dynamics.
  • To determine the conditions, speed, and outcomes of belief system convergence.
  • To analyze the influence of social networks and logic constraints on opinion formation.

Main Methods:

  • Development of a graph-theoretic model for opinion dynamics.
  • Analysis of belief systems incorporating logic constraints.
  • Examination of convergence properties within various large-scale network models.

Main Results:

  • Belief system convergence is implicitly dependent on the social network structure.
  • Logic constraints significantly influence the convergence of opinions.
  • Convergence time and final opinion states are predictable based on network and constraint properties.

Conclusions:

  • Social interactions and logic constraints are critical drivers of opinion formation.
  • Graph-theoretic approaches offer robust insights into social opinion dynamics.
  • Understanding network topology and belief logic is key to predicting belief system convergence.