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

Variability: Analysis01:11

Variability: Analysis

570
Measures of variability are statistical metrics that reveal the dispersion pattern within a dataset. They are pivotal in biostatistics, providing insights into the heterogeneity within health and biological data. Variability signifies the degree to which data points diverge from one another, helping researchers understand the potential range of values and associated uncertainty within the data.
The range is a simple measure of variability, indicating the difference between the highest and...
570
Two-Way ANOVA01:17

Two-Way ANOVA

3.5K
The two-way ANOVA is an extension of the one-way ANOVA. It is a statistical test performed on three or more samples categorized by two factors - a row factor and a column factor. Ronald Fischer mentioned it in 1925 in his book 'Statistical Methods for Researchers.'
The two-way ANOVA analysis initially begins by stating the null hypothesis that there is an interaction effect between the two factors of a dataset. This effect can be visualized using line segments formed by joining the...
3.5K
Multiple Regression01:25

Multiple Regression

4.2K
Multiple regression assesses a linear relationship between one response or dependent variable and two or more independent variables. It has many practical applications.
Farmers can use multiple regression to determine the crop yield based on more than one factor, such as water availability, fertilizer, soil properties, etc. Here, the crop yield is the response or dependent variable as it depends on the other independent variables. The analysis requires the construction of a scatter plot...
4.2K
The Representativeness Heuristic02:13

The Representativeness Heuristic

16.9K
The representative heuristic describes a biased way of thinking, in which you unintentionally stereotype someone or something. For example, you may assume that your professors spend their free time reading books and engaging in intellectual conversation, because the idea of them spending their time playing volleyball or visiting an amusement park does not fit in with your stereotypes of professors.
16.9K
Models, Theories, and Laws01:16

Models, Theories, and Laws

9.4K
Scientists frequently use models to help them comprehend a specific collection of phenomena. In physics, a model is a condensed version of a physical system that is too complex to study thoroughly. One such example is the light wave model; unlike water waves, light waves are typically invisible to us. Nonetheless, it is helpful to think of light as being composed of waves, since investigations show that light behaves like water waves. Since it is impossible to visually see what is genuinely...
9.4K
Collisions in Multiple Dimensions: Problem Solving01:06

Collisions in Multiple Dimensions: Problem Solving

5.6K
In multiple dimensions, the conservation of momentum applies in each direction independently. Hence, to solve collisions in multiple dimensions, we should write down the momentum conservation in each direction separately. To help understand collisions in multiple dimensions, consider an example.
A small car of mass 1,200 kg traveling east at 60 km/h collides at an intersection with a truck of mass 3,000 kg traveling due north at 40 km/h. The two vehicles are locked together. What is the...
5.6K

You might also read

Related Articles

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

Sort by
Same author

Impact of land use on antibiotic resistance genes and bacterial communities in rivers.

Environmental research·2025
Same author

Autotrophic denitrification in coking wastewater treatment systems: Comprehensive comparative study of full-scale systems in China.

Bioresource technology·2025
Same author

Adipose progenitor cell-derived extracellular vesicles suppress macrophage M1 program to alleviate midlife obesity.

Nature communications·2025
Same author

Glymphatic system dysfunction in adult ADHD: Relationship to cognitive performance.

Journal of affective disorders·2025
Same author

Causal Relationship Between Intelligence, Noncognitive Education, Cognition and Urinary Tract or Kidney Infection: A Mendelian Randomization Study.

International journal of nephrology and renovascular disease·2025
Same author

Visualizing spatiotemporal pattern of vascularization by SWIR fluorescence imaging in a mouse model of perforator flap transplantation.

Journal of nanobiotechnology·2025

Related Experiment Video

Updated: Feb 23, 2026

A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments
08:12

A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments

Published on: March 1, 2022

3.0K

Analysis and application of opinion model with multiple topic interactions.

Fei Xiong1, Yun Liu1, Liang Wang2

  • 1School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing 100044, China.

Chaos (Woodbury, N.Y.)
|September 3, 2017
PubMed
Summary

This study introduces a novel opinion dynamics model incorporating topic interactions. The model accurately predicts individual actions and demonstrates how multiple topics foster consensus and accelerate opinion evolution.

More Related Videos

Multimodal Protocol for Assessing Metacognition and Self-Regulation in Adults with Learning Difficulties
12:55

Multimodal Protocol for Assessing Metacognition and Self-Regulation in Adults with Learning Difficulties

Published on: September 27, 2020

9.2K

Related Experiment Videos

Last Updated: Feb 23, 2026

A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments
08:12

A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments

Published on: March 1, 2022

3.0K
Multimodal Protocol for Assessing Metacognition and Self-Regulation in Adults with Learning Difficulties
12:55

Multimodal Protocol for Assessing Metacognition and Self-Regulation in Adults with Learning Difficulties

Published on: September 27, 2020

9.2K

Area of Science:

  • Computational Social Science
  • Network Science
  • Opinion Dynamics

Background:

  • Understanding opinion evolution is crucial for social sciences.
  • Existing models often simplify the complexity of real-world opinion dynamics.
  • Heterogeneous behaviors in opinion formation require advanced modeling approaches.

Purpose of the Study:

  • To develop a multidimensional opinion model that captures topic interactions.
  • To investigate how opinion dimension and topic multiplicity influence opinion evolution.
  • To evaluate the model's predictive power and computational efficiency using real-world data.

Main Methods:

  • Representing individual opinions and topic features as multidimensional vectors.
  • Quantifying agent actions via the product of opinion and topic features.
  • Implementing opinion updates with bounded confidence during agent interactions.
  • Simulating opinion evolution across various network structures and topic configurations.

Main Results:

  • A critical tolerance threshold governs the transition from disordered opinions to consensus, dependent on opinion dimension.
  • Increasing opinion dimensions elevates the critical threshold for consensus.
  • Multiple topics enhance opinion interactions, leading to macroscopic opinion clusters and accelerated evolution.
  • The model's performance in predicting individual actions surpasses state-of-the-art methods with reduced computational complexity.

Conclusions:

  • The proposed opinion model effectively captures heterogeneous opinion evolution influenced by topic interactions.
  • The model demonstrates practical applicability in predicting real-world opinion dynamics.
  • Findings offer insights into opinion formation in complex, multi-topic environments.