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

Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

6.8K
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...
6.8K
Comparing the Survival Analysis of Two or More Groups01:20

Comparing the Survival Analysis of Two or More Groups

519
Survival analysis is a cornerstone of medical research, used to evaluate the time until an event of interest occurs, such as death, disease recurrence, or recovery. Unlike standard statistical methods, survival analysis is particularly adept at handling censored data—instances where the event has not occurred for some participants by the end of the study or remains unobserved. To address these unique challenges, specialized techniques like the Kaplan-Meier estimator, log-rank test, and...
519
Impact of Groups on Groups01:19

Impact of Groups on Groups

207
Social psychologists analyze how groups influence one another, shaping social structures and interactions through both cooperation and competition. These dynamics manifest in various ways, ranging from economic partnerships to intergroup conflicts that shape societal structures and perceptions.Cooperation and Competition in Intergroup RelationsIntergroup relationships vary across contexts, sometimes fostering cooperation and mutual benefit while at other times leading to conflict and...
207
Gene Evolution - Fast or Slow?02:05

Gene Evolution - Fast or Slow?

7.9K
The genomes of eukaryotes are punctuated by long stretches of sequence which do not code for proteins or RNAs. Although some of these regions do contain crucial regulatory sequences, the vast majority of this DNA serves no known function. Typically, these regions of the genome are the ones in which the fastest change, in evolutionary terms, is observed, because there is typically little to no selection pressure acting on these regions to preserve their sequences.
In contrast, regions which code...
7.9K
Gene Evolution - Fast or Slow?02:05

Gene Evolution - Fast or Slow?

3.4K
3.4K
Evolutionary Psychology01:20

Evolutionary Psychology

869
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...
869

You might also read

Related Articles

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

Sort by
Same author

Publisher Correction: Deep-learning-based virtual screening of antibacterial compounds.

Nature biotechnology·2025
Same author

Identifying Key Nodes for the Influence Spread Using a Machine Learning Approach.

Entropy (Basel, Switzerland)·2024
Same author

Scaling Representation Learning From Ubiquitous ECG With State-Space Models.

IEEE journal of biomedical and health informatics·2024
Same author

Effect of on-demand vs continuous prescription of proton pump inhibitors on symptom burden and quality of life: results of a real-world randomized controlled trial in primary care patients with gastroesophageal reflux disease.

Annals of medicine·2024
Same author

DiagSet: a dataset for prostate cancer histopathological image classification.

Scientific reports·2024
Same author

Protect our environment from information overload.

Nature human behaviour·2024

Related Experiment Video

Updated: Jan 4, 2026

JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics
07:28

JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics

Published on: October 19, 2021

3.6K

Analysis of group evolution prediction in complex networks.

Stanisław Saganowski1, Piotr Bródka1, Michał Koziarski2

  • 1Department of Computational Intelligence, Faculty of Computer Science and Management, Wrocław University of Science and Technology, Wrocław, Poland.

Plos One
|October 30, 2019
PubMed
Summary
This summary is machine-generated.

Predicting group evolution in complex networks is challenging. This study introduces a new adaptable method for Group Evolution Prediction (GEP), enhancing our understanding of future social group states.

More Related Videos

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
10:44

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline

Published on: December 7, 2021

2.6K
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

1.3K

Related Experiment Videos

Last Updated: Jan 4, 2026

JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics
07:28

JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics

Published on: October 19, 2021

3.6K
Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
10:44

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline

Published on: December 7, 2021

2.6K
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

1.3K

Area of Science:

  • Network Science
  • Social Computing
  • Computational Social Science

Background:

  • Understanding and predicting social group dynamics is crucial for community identification.
  • The evolution of groups within complex networks presents a significant research challenge.

Purpose of the Study:

  • To propose a novel, adaptable, and generic multistage method for Group Evolution Prediction (GEP).
  • To facilitate reasoning about the future states of groups in complex networks.

Main Methods:

  • Developed a precise Group Evolution Prediction (GEP) modularity.
  • Conducted empirical studies on real-world complex and social networks.
  • Analyzed various parameters including time window, group detection, evolution chain length, and prediction models.
  • Identified and tested new predictive features for group states.

Main Results:

  • The GEP method demonstrated versatility across different network types and parameter setups.
  • New predictive features were identified and validated for their effectiveness.
  • The impact of various configurations on prediction accuracy was analyzed.

Conclusions:

  • The proposed GEP method offers a robust framework for predicting group evolution in complex networks.
  • The study provides insights into optimizing prediction strategies through parameter tuning and feature engineering.
  • Future work can explore enriching evolution chains with external data for enhanced predictive power.