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

36.8K
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).
36.8K
Viral Recombination00:57

Viral Recombination

24.0K
Cells are sometimes infected by more than one virus at once. When two viruses disassemble to expose their genomes for replication in the same cell, similar regions of their genomes can pair together and exchange sequences in a process called recombination. Alternatively, viruses with segmented genomes can swap segments in a process called reassortment.
24.0K
Group Polarization01:01

Group Polarization

36.5K
Group polarization is the strengthening of an original group attitude following the discussion of views within a group (Teger & Pruitt, 1967). That is, if a group initially favors a viewpoint, after discussion the group consensus is likely a stronger endorsement of the viewpoint. Conversely, if the group was initially opposed to a viewpoint, group discussion would likely lead to stronger opposition.
36.5K
Convergent Evolution01:54

Convergent Evolution

29.8K
Evolution shapes the features of organisms over time, ensuring that they are suited for the environments in which they live. Sometimes, selection pressure leads to the rise of similar but unrelated adaptations in organisms with no recent common ancestors, a process known as convergent evolution.
29.8K
Evolutionary Psychology01:20

Evolutionary Psychology

557
Evolutionary psychology explores the origins of human behavior and mental processes by framing them within the context of natural selection, a theory famously propounded by Charles Darwin. This field asserts that many behaviors common across human societies — ranging from instinctive fear reactions to complex social interactions — arose as evolutionary adaptations. These adaptations enhanced the survival and reproductive success of our ancestors, thereby becoming embedded in the...
557
Social Proof00:52

Social Proof

29.6K
Social proof is a form of persuasion based on comparison and conformity. People compare their behavior and actions to what others are doing and will change to conform to do what their peers do.
29.6K

You might also read

Related Articles

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

Sort by
Same author

The Structure of Psychopathology on Reddit: Network Analysis of Mental Health Communities in Relation to the ICD Diagnostic System.

Journal of medical Internet research·2026
Same author

Disfluencies in Public and Private Speech.

Language and speech·2025
Same author

Premenstrual dysphoric disorder in online peer support communities: a Reddit case study.

Scientific reports·2025
Same author

Who are the haters? A corpus-based demographic analysis of authors of hate speech.

Frontiers in artificial intelligence·2023
Same author

Retweet communities reveal the main sources of hate speech.

PloS one·2022
Same author

The ParlaMint corpora of parliamentary proceedings.

Language resources and evaluation·2022
Same journal

Analysis of strength degradation of coal and rock masses and stability of mined areas under long term immersion environment.

PloS one·2026
Same journal

Biogenic Silver-Selenium nanocomposite with anticancer activity and potent efficacy against vancomycin-resistant Staphylococcus aureus.

PloS one·2026
Same journal

Preparation and physicochemical characterization of a biodegradable chitosan/carboxymethyl cellulose hydrogel synthesized in NaOH/urea medium.

PloS one·2026
Same journal

Action-guilt, survivor-guilt, and depression in combat-related PTSD.

PloS one·2026
Same journal

Explainable machine learning for predicting activities of daily living at discharge in stroke patients: A retrospective study using SHAP interpretability.

PloS one·2026
Same journal

Deep learning based two-way feature depiction model for brain tumor detection.

PloS one·2026
See all related articles

Related Experiment Video

Updated: Oct 21, 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

5.4K

Community evolution in retweet networks.

Bojan Evkoski1,2, Igor Mozetič1, Nikola Ljubešić1

  • 1Department of Knowledge Technologies, Jozef Stefan Institute, Ljubljana, Slovenia.

Plos One
|September 1, 2021
PubMed
Summary
This summary is machine-generated.

This study tracks member flow and influence in social network communities using a novel two-stage detection method. Right-leaning communities in the Slovenian tweetosphere showed higher influence despite gradual network changes.

More Related Videos

Daily Transfers, Archiving Populations, and Measuring Fitness in the Long-Term Evolution Experiment with Escherichia coli
15:00

Daily Transfers, Archiving Populations, and Measuring Fitness in the Long-Term Evolution Experiment with Escherichia coli

Published on: August 18, 2023

3.7K
Divergence of Root Microbiota in Different Habitats based on Weighted Correlation Networks
09:49

Divergence of Root Microbiota in Different Habitats based on Weighted Correlation Networks

Published on: September 25, 2021

4.5K

Related Experiment Videos

Last Updated: Oct 21, 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

5.4K
Daily Transfers, Archiving Populations, and Measuring Fitness in the Long-Term Evolution Experiment with Escherichia coli
15:00

Daily Transfers, Archiving Populations, and Measuring Fitness in the Long-Term Evolution Experiment with Escherichia coli

Published on: August 18, 2023

3.7K
Divergence of Root Microbiota in Different Habitats based on Weighted Correlation Networks
09:49

Divergence of Root Microbiota in Different Habitats based on Weighted Correlation Networks

Published on: September 25, 2021

4.5K

Area of Science:

  • Social Network Analysis
  • Computational Social Science
  • Information Science

Background:

  • Social network communities often mirror close social ties and evolve over time.
  • Understanding community dynamics, including member flow and influence, is crucial for network analysis.

Purpose of the Study:

  • To develop and apply a novel approach for tracking community evolution in retweet networks.
  • To analyze member flow, internal/external influence, and user influence within detected communities.
  • To investigate the structure and influence dynamics of the Slovenian tweetosphere.

Main Methods:

  • A two-stage community detection approach: Ensemble Louvain for stable communities, followed by influence link formation to identify super-communities.
  • Analysis of member flow (in, out, between communities) and influence metrics (community and user-level retweet h-index).
  • Application to three years of Slovenian Twitter data, focusing on key timepoints with significant community differences.

Main Results:

  • The Slovenian tweetosphere is largely dominated by political discourse.
  • Left-leaning communities are generally larger, while right-leaning communities and users demonstrate significantly higher influence.
  • Retweet network structures exhibit gradual evolution, even amidst major societal events like the COVID-19 pandemic or government changes.

Conclusions:

  • The proposed method effectively tracks community evolution and influence in social networks.
  • Political dynamics significantly shape the Slovenian Twitter landscape, with notable influence disparities between ideological groups.
  • Social network evolution can be surprisingly resilient to external shocks, suggesting underlying structural stability.