Jove
Visualize
Contact Us

Related Concept Videos

Relationship Formation02:12

Relationship Formation

39.4K
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,...
39.4K
Schemas01:42

Schemas

11.5K
A schema is a mental construct consisting of a cluster or collection of related concepts (Bartlett, 1932). There are many different types of schemata, and they all have one thing in common: schemata are a method of organizing information that allows the brain to work more efficiently. When a schema is activated, the brain makes immediate assumptions about the person or object being observed.
11.5K
Mutation, Gene Flow, and Genetic Drift01:09

Mutation, Gene Flow, and Genetic Drift

57.5K
In a population that is not at Hardy-Weinberg equilibrium, the frequency of alleles changes over time. Therefore, any deviations from the five conditions of Hardy-Weinberg equilibrium can alter the genetic variation of a given population. Conditions that change the genetic variability of a population include mutations, natural selection, non-random mating, gene flow, and genetic drift (small population size).
57.5K
Cascaded Op Amps01:16

Cascaded Op Amps

537
Operational amplifiers (op-amps) are versatile electronic components that can be interconnected in a cascade - one after another in a linear sequence. This cascading is possible due to their infinite input resistance and zero output resistance, allowing them to maintain their input-output relationships even when connected in series.
In a cascaded system, each op-amp is referred to as a stage. The output of one stage drives the input of the subsequent stage. As the input signal passes through...
537
Genetic Drift03:33

Genetic Drift

38.9K
Natural selection—probably the most well-known evolutionary mechanism—increases the prevalence of traits that enhance survival and reproduction. However, evolution does not merely propagate favorable traits, nor does it always benefit populations.
38.9K
Speciation Rates01:07

Speciation Rates

20.7K
Overview
20.7K

You might also read

Related Articles

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

Sort by
Same author

A tutorial on causal network simulation and exploration using the causalnet R package.

Behavior research methods·2026
Same author

Diagrams-to-Dynamics (D2D): Exploring causal loop diagram leverage points under uncertainty.

BMC medicine·2026
Same author

Precariousness and depressed mood: a network analysis in the multi-ethnic HELIUS study.

Social psychiatry and psychiatric epidemiology·2026
Same author

A linguistic comparison between human- and AI-generated content.

iScience·2026
Same author

The Role of Feedback Loops in Dynamical Symptom Networks.

Scientific reports·2026
Same author

The paradox of intervention: Resilience in adaptive multirole coordination networks.

Proceedings of the National Academy of Sciences of the United States of America·2025
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: May 10, 2025

Experimental Protocol for Manipulating Plant-induced Soil Heterogeneity
08:16

Experimental Protocol for Manipulating Plant-induced Soil Heterogeneity

Published on: March 13, 2014

18.6K

Heterogeneous update processes shape information cascades in social networks.

Flávio L Pinheiro1, Vítor V Vasconcelos2,3,4

  • 1NOVA Information Management School (NOVA IMS), Universidade Nova de Lisboa, Lisboa, Portugal. fpinheiro@novaims.unl.pt.

Scientific Reports
|April 22, 2025
PubMed
Summary

The placement of individuals influences information spread. Simple Spreaders amplify cascades in heterogeneous networks, while Threshold-based Spreaders regulate information flow, impacting social phenomena and online information warfare.

Keywords:
Cascade dynamicsComplex contagionSimple contagionSocial networks

More Related Videos

Following the Dynamics of Structural Variants in Experimentally Evolved Populations
04:52

Following the Dynamics of Structural Variants in Experimentally Evolved Populations

Published on: February 3, 2023

898
Using Informational Connectivity to Measure the Synchronous Emergence of fMRI Multi-voxel Information Across Time
07:12

Using Informational Connectivity to Measure the Synchronous Emergence of fMRI Multi-voxel Information Across Time

Published on: July 1, 2014

12.2K

Related Experiment Videos

Last Updated: May 10, 2025

Experimental Protocol for Manipulating Plant-induced Soil Heterogeneity
08:16

Experimental Protocol for Manipulating Plant-induced Soil Heterogeneity

Published on: March 13, 2014

18.6K
Following the Dynamics of Structural Variants in Experimentally Evolved Populations
04:52

Following the Dynamics of Structural Variants in Experimentally Evolved Populations

Published on: February 3, 2023

898
Using Informational Connectivity to Measure the Synchronous Emergence of fMRI Multi-voxel Information Across Time
07:12

Using Informational Connectivity to Measure the Synchronous Emergence of fMRI Multi-voxel Information Across Time

Published on: July 1, 2014

12.2K

Area of Science:

  • Network Science
  • Information Diffusion
  • Computational Social Science

Background:

  • Information diffusion models often assume population homogeneity in how individuals acquire and spread information.
  • Two primary mechanisms are imitation (simple contagion) and peer influence (complex contagion).
  • This study investigates the interplay of different individual update processes within social networks.

Purpose of the Study:

  • To analyze the impact of mixing and strategic placement of individuals with distinct information update processes on information cascades.
  • To differentiate the roles of Simple Spreaders and Threshold-based Spreaders in information diffusion dynamics.
  • To understand how network structure influences the effectiveness of these different spreader types.

Main Methods:

  • Simulations on various network structures (random, modular, scale-free, exponential).
  • Modeling two types of information spreaders: Simple Spreaders and Threshold-based Spreaders.
  • Analyzing cascade sizes and information reach based on spreader proportions and network topology.

Main Results:

  • Simple Spreaders amplify cascades in degree-heterogeneous networks (exponential, scale-free).
  • In random and modular networks, Simple Spreaders require a critical mass to initiate significant cascades.
  • Preferential placement of Threshold-based Spreaders in high-degree nodes impairs information spread, diminishing the effect of Simple Spreaders.

Conclusions:

  • The strategic placement of individuals with different information update behaviors is crucial for understanding information diffusion.
  • Simple Spreaders are key drivers of widespread cascades in heterogeneous networks.
  • Threshold-based Spreaders act as critical regulators, with their effect tunable by threshold values, impacting social phenomena and online information environments.