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

Frequency-dependent Selection01:21

Frequency-dependent Selection

20.2K
When the fitness of a trait is influenced by how common it is (i.e., its frequency) relative to different traits within a population, this is referred to as frequency-dependent selection. Frequency-dependent selection may occur between species or within a single species. This type of selection can either be positive—with more common phenotypes having higher fitness—or negative, with rarer phenotypes conferring increased fitness.
20.2K
Types of Selection01:46

Types of Selection

37.5K
Natural selection influences the frequencies of particular alleles and phenotypes within populations in several different ways. Primarily, natural selection can be directional, stabilizing, or disruptive. Directional selection favors one extreme trait and shifts the population towards that phenotype while selecting against individuals displaying alternate traits. Stabilizing selection favors an intermediate trait with a narrow range of variation. Deviation from the optimal phenotype towards an...
37.5K
Speciation Rates01:07

Speciation Rates

18.8K
Overview
18.8K
Mutation, Gene Flow, and Genetic Drift01:09

Mutation, Gene Flow, and Genetic Drift

53.1K
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).
53.1K
Evolution of New Traits in Microbes01:24

Evolution of New Traits in Microbes

201
Microorganisms evolve rapidly due to their large population sizes and short generation times, often exhibiting measurable changes within days under laboratory conditions. Natural selection acts on standing genetic variation, enabling the retention and amplification of beneficial traits that confer fitness advantages in changing environments.Adaptive Pigment Regulation in RhodobacterIn Rhodobacter, a genus of purple non-sulfur bacteria, light-harvesting pigments such as bacteriochlorophyll and...
201
Natural Selection and Mating Preferences01:06

Natural Selection and Mating Preferences

881
The principle of natural selection posits that organisms better adapted to their environment are more likely to survive and reproduce. This principle is closely intertwined with mating preferences, a key aspect of sexual selection, which evolutionary psychologists believe is driven by instincts to propagate one's genes. Such instincts significantly influence mating behaviors and preferences between genders.
Females, due to their biological roles in conception, pregnancy, and nursing,...
881

You might also read

Related Articles

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

Sort by
Same author

Effects of extracorporeal membrane oxygenation and/or renal replacement therapy on piperacillin/tazobactam levels in critically ill patients.

Frontiers in pharmacology·2026
Same author

Cognitive Behavioral Therapy for Paroxysmal Atrial Fibrillation: Heart Rate Variability, Physical Activity, and Sleep.

JACC. Advances·2024
Same author

Mechanical power of ventilation and driving pressure: two undervalued parameters for pre extracorporeal membrane oxygenation ventilation and during daily management?

Critical care (London, England)·2023
Same author

L-2-oxothiazolidine-4-carboxylic acids slow down dialysate-induced senescence in human peritoneal mesothelial cells.

Journal of physiology and pharmacology : an official journal of the Polish Physiological Society·2019
Same author

Functional in vitro tension measurements of fascial tissue - a novel modified superfusion approach.

Journal of musculoskeletal & neuronal interactions·2016
Same author

Effective PEGylation of gold nanorods.

Nanoscale·2016
Same journal

Tension on dsDNA bound to ssDNA-RecA filaments may play an important role in driving efficient and accurate homology recognition and strand exchange.

Physical review. E, Statistical, nonlinear, and soft matter physics·2016
Same journal

Publisher's Note: Amplitude-phase coupling drives chimera states in globally coupled laser networks [Phys. Rev. E 91, 040901(R) (2015)].

Physical review. E, Statistical, nonlinear, and soft matter physics·2016
Same journal

Erratum: Shapes of sedimenting soft elastic capsules in a viscous fluid [Phys. Rev. E 92, 033003 (2015)].

Physical review. E, Statistical, nonlinear, and soft matter physics·2016
Same journal

Erratum: Attenuation of excitation decay rate due to collective effect [Phys. Rev. E 90, 022142 (2014)].

Physical review. E, Statistical, nonlinear, and soft matter physics·2016
Same journal

Publisher's Note: Role of connectivity and fluctuations in the nucleation of calcium waves in cardiac cells [Phys. Rev. E 92, 052715 (2015)].

Physical review. E, Statistical, nonlinear, and soft matter physics·2016
Same journal

Publisher's Note: Lattice Boltzmann approach for complex nonequilibrium flows [Phys. Rev. E 92, 043308 (2015)].

Physical review. E, Statistical, nonlinear, and soft matter physics·2016
See all related articles

Related Experiment Video

Updated: May 6, 2026

Time-dependent Increase in the Network Response to the Stimulation of Neuronal Cell Cultures on Micro-electrode Arrays
10:45

Time-dependent Increase in the Network Response to the Stimulation of Neuronal Cell Cultures on Micro-electrode Arrays

Published on: May 29, 2017

10.8K

Mutual selection in time-varying networks.

K Hoppe1, G J Rodgers

  • 1Department of Mathematical Sciences, Brunel University, Uxbridge, Middlesex UB8 3PH, United Kingdom.

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|November 16, 2013
PubMed
Summary
This summary is machine-generated.

This study explores mutual attractiveness in time-varying networks, finding it impacts opinion formation and epidemic spread. Unlike static networks, mutual selection prevents consensus in the voter model.

More Related Videos

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

3.9K
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

1.2K

Related Experiment Videos

Last Updated: May 6, 2026

Time-dependent Increase in the Network Response to the Stimulation of Neuronal Cell Cultures on Micro-electrode Arrays
10:45

Time-dependent Increase in the Network Response to the Stimulation of Neuronal Cell Cultures on Micro-electrode Arrays

Published on: May 29, 2017

10.8K
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

3.9K
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

1.2K

Area of Science:

  • Complex Networks
  • Statistical Physics
  • Network Science

Background:

  • Time-varying networks are crucial for modeling dynamic stochastic processes.
  • Previous work focused on random attachment mechanisms in evolving networks.
  • Mutual attractiveness models, common in static networks, were unexplored in dynamic settings.

Purpose of the Study:

  • To investigate mutual attractiveness mechanisms in time-varying networks.
  • To analyze the impact of mutual selection on opinion formation and epidemic outbreaks.
  • To extend findings on random processes in evolving networks to more realistic attachment models.

Main Methods:

  • Developed a mathematical framework for time-varying networks with mutual attractiveness.
  • Utilized a factorizable linking function to derive closed-form solutions.
  • Applied the voter model to study opinion dynamics under mutual selection.

Main Results:

  • Mutual selection in time-varying networks prevents consensus in the voter model, unlike static networks.
  • Epidemic outbreaks are accelerated by uncorrelated mutual selection compared to random attachment.
  • Closed-form solutions were obtained for key network process quantities.

Conclusions:

  • Time-varying networks exhibit distinct behaviors from static counterparts regarding stochastic processes.
  • Mutual attractiveness significantly alters opinion dynamics and epidemic spread on evolving networks.
  • The findings highlight the importance of considering realistic attachment mechanisms in dynamic network analysis.