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

Relationship Formation02:12

Relationship Formation

40.8K
What do you think is the single most influential factor in determining with whom you become friends and whom you form romantic relationships? You might be surprised to learn that the answer is simple: the people with whom you have the most contact. This most important factor is proximity. You are more likely to be friends with people you have regular contact with. For example, there are decades of research that shows that you are more likely to become friends with people who live in your dorm,...
40.8K
Theories of Dissolution: Diffusion Layer Model01:15

Theories of Dissolution: Diffusion Layer Model

889
Dissolution, the process by which drug particles dissolve in a solvent, is explained by the diffusion layer model, a theoretical framework that simulates the absorption of oral drugs and allows us to analyze experimental data.
This process starts with a thin layer, saturated with the drug, forming at the interface between the solid and liquid. The solute then diffuses from this layer into the main solution. The Noyes-Whitney equation suggests that the rate of dissolution relies on the diffusion...
889
Social Exchange Theory02:06

Social Exchange Theory

35.2K
We have discussed why we form relationships, what attracts us to others, and different types of love. But what determines whether we are satisfied with and stay in a relationship? One theory that provides an explanation is social exchange theory. According to social exchange theory, we act as naïve economists in keeping a tally of the ratio of costs and benefits of forming and maintaining a relationship with others (Rusbult & Van Lange, 2003).
35.2K
Social Facilitation01:04

Social Facilitation

32.6K
Not all intergroup interactions lead to negative outcomes. Sometimes, being in a group situation can improve performance. Social facilitation occurs when an individual performs better when an audience is watching than when the individual performs the behavior alone. This typically occurs when people are performing a task for which they are skilled.
32.6K
Theoretical Approaches to Psychological Disorder01:29

Theoretical Approaches to Psychological Disorder

298
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...
298
Stereotype Content Model02:16

Stereotype Content Model

14.8K
The Stereotype Content Model (SCM) was first proposed by Susan Fiske and her colleagues (Fiske, Cuddy, Glick & Xu, 2002; see also Fiske, 2012 and Fiske, 2017). The SCM specifies that when someone encounters a new group, they will stereotype them based on two metrics: warmth—or that group’s perceived intent, and how likely they are to provide help or inflict harm—and competence—or their ability to carry out that objective. Depending on the warmth-competence...
14.8K

You might also read

Related Articles

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

Sort by
Same author

Predictability of complex networks.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same author

Biochemical-knowledge-driven machine learning pipeline for generating potent antimicrobial peptides.

Briefings in bioinformatics·2026
Same author

AI-based multiomics profiling reveals complementary omics contributions to personalized prediction of cardiovascular disease.

Nature communications·2026
Same author

Revitalizing Emergency Medical Services in the United States: A perspective from frontline workers.

Journal of emergency management (Weston, Mass.)·2025
Same author

Predicting Unplanned Readmission Risk in Patients With Cirrhosis: Complication-Aware Dynamic Classifier Selection Approach.

JMIR medical informatics·2025
Same author

Chatbot-Delivered Stage of Change-Tailored Web-Based Intervention to Promote Physical Activity Among Inactive Community-Dwelling People Aged 65 years or More: Protocol for a Randomized Controlled Trial.

JMIR research protocols·2025

Related Experiment Video

Updated: Sep 2, 2025

Integrating Computerized Linguistic and Social Network Analyses to Capture Addiction Recovery Capital in an Online Community
08:53

Integrating Computerized Linguistic and Social Network Analyses to Capture Addiction Recovery Capital in an Online Community

Published on: May 31, 2019

5.3K

A Dissemination Model Based on Psychological Theories in Complex Social Networks.

Tianyi Luo1,2, Zhidong Cao1, Daniel Zeng1

  • 1State Key Laboratory of Management and Control for Complex SystemsInstitute of Automation, Chinese Academy of Sciences Beijing 100190 China.

IEEE Transactions on Cognitive and Developmental Systems
|August 8, 2022
PubMed
Summary
This summary is machine-generated.

We developed a resistant linear threshold (RLT) model to explain social media information spread. The RLT model accurately captures dissemination patterns, offering insights for public opinion analysis and rumor control.

Keywords:
Complex networksdifferential disseminationdissemination mechanisminformation disseminationpsychology

More Related Videos

The HoneyComb Paradigm for Research on Collective Human Behavior
06:48

The HoneyComb Paradigm for Research on Collective Human Behavior

Published on: January 19, 2019

9.5K
Perspectives on Neuroscience
26:41

Perspectives on Neuroscience

Published on: July 31, 2007

5.0K

Related Experiment Videos

Last Updated: Sep 2, 2025

Integrating Computerized Linguistic and Social Network Analyses to Capture Addiction Recovery Capital in an Online Community
08:53

Integrating Computerized Linguistic and Social Network Analyses to Capture Addiction Recovery Capital in an Online Community

Published on: May 31, 2019

5.3K
The HoneyComb Paradigm for Research on Collective Human Behavior
06:48

The HoneyComb Paradigm for Research on Collective Human Behavior

Published on: January 19, 2019

9.5K
Perspectives on Neuroscience
26:41

Perspectives on Neuroscience

Published on: July 31, 2007

5.0K

Area of Science:

  • Computational Social Science
  • Network Science
  • Information Science

Background:

  • Social media information spread is widely studied, yet theoretical modeling lags behind empirical analysis.
  • Existing research often focuses on data-driven case studies, leaving a gap in model-driven explanations for dissemination complexity.

Purpose of the Study:

  • To propose and validate a novel resistant linear threshold (RLT) dissemination model.
  • To capture complex information spread patterns on social media using psychological theories and empirical findings.
  • To provide model-driven insights for understanding social media dynamics.

Main Methods:

  • Developed a resistant linear threshold (RLT) model incorporating psychological theories.
  • Validated the RLT model across three distinct network types.
  • Quantified and compared simulation results with empirical data on information dissemination.
  • Examined factors influencing information spread.
  • Conducted case studies on COVID-19 information dissemination.

Main Results:

  • The RLT model successfully captured social media information dissemination patterns.
  • Simulation results demonstrated consistency with empirical research findings.
  • Identified key factors influencing the spread of information.
  • Case studies on COVID-19 information confirmed the model's applicability.

Conclusions:

  • The RLT model provides a robust framework for understanding social media information spread.
  • Model-driven insights can inform strategies for public opinion interpretation, rumor control, and social media marketing.
  • The study bridges the gap between theoretical modeling and empirical observation in information dissemination research.