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

Social Exchange Theory02:06

Social Exchange Theory

34.3K
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).
34.3K
Diffusion01:12

Diffusion

188.0K
Diffusion is the passive movement of substances down their concentration gradients—requiring no expenditure of cellular energy. Substances, such as molecules or ions, diffuse from an area of high concentration to an area of low concentration in the cytosol or across membranes. Eventually, the concentration will even out, with the substance moving randomly but causing no net change in concentration. Such a state is called dynamic equilibrium, which is essential for maintaining overall...
188.0K
Qualitative Analysis03:46

Qualitative Analysis

21.7K
For solutions containing mixtures of different cations, the identity of each cation can be determined by qualitative analysis. This technique involves a series of selective precipitations with different chemical reagents, each reaction producing a characteristic precipitate for a specific group of cations. Metal ions within a group are further separated by varying the pH, heating the mixture to redissolve a precipitate, or adding other reagents to form complex ions.
For instance, group IV...
21.7K
Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

5.7K
Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...
5.7K
Kendall's Coefficient of Concordance01:20

Kendall's Coefficient of Concordance

246
Kendall's Coefficient of Concordance (W), also known as Kendall's W, is a non-parametric statistical measure used to assess the agreement or concordance between multiple raters or judges when they rank a set of items. It is often used when you have ordinal data (ranks) and you want to see if there is consistency or consensus among the raters. It is widely applied in research areas such as psychology, medicine, and social sciences, where multiple judges are asked to rank or rate subjects...
246
Correlation of Experimental Data01:23

Correlation of Experimental Data

217
Dimensional analysis simplifies complex physical problems and guides experimental investigations, but it does not provide complete solutions. It identifies the dimensionless groups that influence a phenomenon, but experimental data is needed to establish the specific relationships and validate theoretical predictions.
For example, a spherical particle moving through a viscous fluid experiences drag. Dimensional analysis shows that the drag force depends on the particle's diameter, velocity,...
217

You might also read

Related Articles

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

Sort by
Same author

Affective connotations according to LLMs: implications for meaning measurement and cultural bias.

Cognition & emotion·2025
Same author

Human-AI collectives most accurately diagnose clinical vignettes.

Proceedings of the National Academy of Sciences of the United States of America·2025
Same author

Disruption of Social Orders in Societal Transitions as Affective Control of Uncertainty.

The American behavioral scientist·2023
Same author

Network sampling coverage III: Imputation of missing network data under different network and missing data conditions.

Social networks·2021
Same author

Individual attitude change and societal dynamics: Computational experiments with psychological theories.

Psychological review·2021
Same journal

Confident judgments of (mis)information veracity are more, rather than less, accurate.

PNAS nexus·2026
Same journal

Can AI help reduce prejudice? Evaluating the effectiveness of AI-powered personalized persuasion on support for transgender rights.

PNAS nexus·2026
Same journal

A cultural explanation for parole decisions in the United States.

PNAS nexus·2026
Same journal

A transformer-based language model reveals developmental constraint and network complexity during zebrafish embryogenesis.

PNAS nexus·2026
Same journal

Dual phosphoregulatory mechanisms of condensin I revealed by biochemical reconstitution.

PNAS nexus·2026
Same journal

Vanin-1 deficiency enhances host tolerance to influenza infection by modulating cellular redox status.

PNAS nexus·2026
See all related articles

Related Experiment Video

Updated: Jun 5, 2025

Group Synchronization During Collaborative Drawing Using Functional Near-Infrared Spectroscopy
07:53

Group Synchronization During Collaborative Drawing Using Functional Near-Infrared Spectroscopy

Published on: August 5, 2022

1.9K

Complements and competitors: Examining technological co-diffusion and relatedness on a collaborative coding platform.

Antonio D Sirianni1,2, Jonathan H Morgan3,4, Nikolas Zöller4,5

  • 1Department of Sociology, Dartmouth College, 20 N Main St, Hanover, NH 03755, USA.

PNAS Nexus
|December 16, 2024
PubMed
Summary
This summary is machine-generated.

Functional relatedness between technologies drives their co-diffusion. This study shows how coding language cohesion predicts complementary adoption, while equivalence suggests competition, impacting spread across user networks.

Keywords:
Computational Social Sciencediffusioninnovationnetworksrelatedness

More Related Videos

Global and Current Research Trends of Single-Cell Sequencing in Cancer: A Bibliometric and Visualization Study
07:49

Global and Current Research Trends of Single-Cell Sequencing in Cancer: A Bibliometric and Visualization Study

Published on: April 18, 2025

112
Inter-Brain Synchrony in Open-Ended Collaborative Learning: An fNIRS-Hyperscanning Study
04:44

Inter-Brain Synchrony in Open-Ended Collaborative Learning: An fNIRS-Hyperscanning Study

Published on: July 21, 2021

4.1K

Related Experiment Videos

Last Updated: Jun 5, 2025

Group Synchronization During Collaborative Drawing Using Functional Near-Infrared Spectroscopy
07:53

Group Synchronization During Collaborative Drawing Using Functional Near-Infrared Spectroscopy

Published on: August 5, 2022

1.9K
Global and Current Research Trends of Single-Cell Sequencing in Cancer: A Bibliometric and Visualization Study
07:49

Global and Current Research Trends of Single-Cell Sequencing in Cancer: A Bibliometric and Visualization Study

Published on: April 18, 2025

112
Inter-Brain Synchrony in Open-Ended Collaborative Learning: An fNIRS-Hyperscanning Study
04:44

Inter-Brain Synchrony in Open-Ended Collaborative Learning: An fNIRS-Hyperscanning Study

Published on: July 21, 2021

4.1K

Area of Science:

  • Network science
  • Computational social science
  • Technology adoption

Background:

  • Diffusive processes interact within connected populations.
  • Relatedness influences the spread of innovations and technologies.
  • Understanding co-diffusion is key to predicting technology adoption patterns.

Purpose of the Study:

  • To incorporate economic complexity's "relatedness" concept into a network co-diffusion model.
  • To examine how functional relationships between technologies affect their spread.
  • To analyze the diffusion of coding languages on GitHub.

Main Methods:

  • Developed a network co-diffusion model using the "product space" concept.
  • Calculated functional cohesion and equivalence between coding languages based on GitHub co-occurrence.
  • Measured complementary and substitutive diffusion rates from language adoption/abandonment data.
  • Employed Multiple Regression Quadratic Assignment Procedure (MR-QAP) for network regression analysis.

Main Results:

  • Strong evidence that functional cohesion positively predicts complementary diffusion of coding languages.
  • Limited evidence suggests functional equivalence predicts substitutive (competitive) diffusion.
  • The principle of relatedness significantly influences co-diffusion dynamics.

Conclusions:

  • Functional dependencies between diffusive processes are critical determinants of their spread.
  • Technology relatedness, specifically functional cohesion, is a key predictor of complementary adoption.
  • Findings offer insights into the spread of innovations in complex technological ecosystems.