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

Graphical Representation of Inequalities01:28

Graphical Representation of Inequalities

370
The graph of the equation where y equals x squared forms a curve known as a parabola. This curve acts as a boundary in the coordinate plane, dividing it into distinct regions based on the relative position of points.When the equality sign in the equation is replaced with an inequality—such as greater than, less than, greater than or equal to, or less than or equal to—the graphical representation changes from a single curve into a broader shaded area that signifies the set of all...
370
Theorems of Pappus and Guldinus: Problem Solving01:12

Theorems of Pappus and Guldinus: Problem Solving

1.1K
Pappus and Guldinus's theorems are powerful mathematical principles that are used for finding the surface area and volume of composite shapes. For example, consider a cylindrical storage tank with a conical top. Finding the surface area or volume can be challenging for such complex shapes. These theorems are particularly useful in calculating the volume and surface area of such systems. Here, the cylindrical storage tank with a conical top can be broken down into two simple shapes: a...
1.1K
Coordination Number and Geometry02:57

Coordination Number and Geometry

19.7K
For transition metal complexes, the coordination number determines the geometry around the central metal ion. Table 1 compares coordination numbers to molecular geometry. The most common structures of the complexes in coordination compounds are octahedral, tetrahedral, and square planar.
19.7K
Graphs of Equations in Two Variables01:30

Graphs of Equations in Two Variables

368
An equation with two variables, typically written in the form y = f(x) or Ax + By = C, describes a relationship between quantities represented by x and y. Each solution to such an equation is an ordered pair (x, y) that satisfies the equation when substituted. These pairs can be represented graphically to understand the variables' relationship visually.A common technique for constructing the graph of a two-variable equation is to create a value table. Begin by choosing several values for the...
368
Lattice Centering and Coordination Number02:33

Lattice Centering and Coordination Number

15.1K
The structure of a crystalline solid, whether a metal or not, is best described by considering its simplest repeating unit, which is referred to as its unit cell. The unit cell consists of lattice points that represent the locations of atoms or ions. The entire structure then consists of this unit cell repeating in three dimensions. The three different types of unit cells present in the cubic lattice are illustrated in Figure 1.
Types of Unit Cells
Imagine taking a large number of identical...
15.1K
Routh-Hurwitz Criterion II01:19

Routh-Hurwitz Criterion II

1.2K
In the application of the Routh-Hurwitz criterion, two specific scenarios can arise that complicate stability analysis.
The first scenario occurs when a singular zero appears in the first column of the Routh table. This situation creates a division by zero issues. To resolve this, a small positive or negative number, denoted as epsilon (∈), is substituted for the zero. The stability analysis proceeds by assuming a sign for ∈. If ∈ is positive, any sign change in the first...
1.2K

You might also read

Related Articles

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

Sort by
Same author

Benefits of Different Strategies to Adapt Sleep Scoring Models from Scalp- to Ear-EEG.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same author

EEG data alignment across devices using a neural network.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same author

Common sleep data pipeline for combined data sets.

PloS one·2024
Same author

Personalization of Automatic Sleep Scoring: How Best to Adapt Models to Personal Domains in Wearable EEG.

IEEE journal of biomedical and health informatics·2024
Same author

L-SeqSleepNet: Whole-cycle Long Sequence Modeling for Automatic Sleep Staging.

IEEE journal of biomedical and health informatics·2023
Same author

At-home sleep monitoring using generic ear-EEG.

Frontiers in neuroscience·2023
Same journal

Thymidylate synthase inhibitory drugs induce p53-dependent pathways differently.

PloS one·2026
Same journal

Top-down and bottom-up attention for joint pattern classification and reconstruction.

PloS one·2026
Same journal

Short- and long-term scaling behavior of blood pressure and pulse arrival time during sleep in healthy controls and patients with obstructive sleep apnea.

PloS one·2026
Same journal

Double DQN-based secrecy energy efficiency and fairness performance in IRS-assisted NOMA systems with friendly jamming.

PloS one·2026
Same journal

10 recommendations for strengthening citizen science for improved societal and ecological outcomes: A co-produced analysis of challenges and opportunities in the 21st century.

PloS one·2026
Same journal

Paying in public: Peer effects, impression management, and willingness to pay on digital payment platforms.

PloS one·2026
See all related articles

Related Experiment Video

Updated: Mar 26, 2026

The Collective Trust Game: An Online Group Adaptation of the Trust Game Based on the HoneyComb Paradigm
06:18

The Collective Trust Game: An Online Group Adaptation of the Trust Game Based on the HoneyComb Paradigm

Published on: October 20, 2022

2.7K

Threshold Games and Cooperation on Multiplayer Graphs.

Kaare B Mikkelsen1,2, Lars A Bach3,4

  • 1Interacting Minds Center, Aarhus University, DK-8000 Aarhus C, Denmark.

Plos One
|February 5, 2016
PubMed
Summary
This summary is machine-generated.

Population structure in multiplayer games typically reduces cooperation. The extent of this reduction depends on individual interaction network size, influencing cooperative behavior in threshold games.

More Related Videos

The HoneyComb Paradigm for Research on Collective Human Behavior
06:48

The HoneyComb Paradigm for Research on Collective Human Behavior

Published on: January 19, 2019

9.9K

Related Experiment Videos

Last Updated: Mar 26, 2026

The Collective Trust Game: An Online Group Adaptation of the Trust Game Based on the HoneyComb Paradigm
06:18

The Collective Trust Game: An Online Group Adaptation of the Trust Game Based on the HoneyComb Paradigm

Published on: October 20, 2022

2.7K
The HoneyComb Paradigm for Research on Collective Human Behavior
06:48

The HoneyComb Paradigm for Research on Collective Human Behavior

Published on: January 19, 2019

9.9K

Area of Science:

  • Evolutionary Game Theory
  • Computational Social Science
  • Network Science

Background:

  • Cooperation is a key factor in social dynamics.
  • Previous models often assume large, well-mixed populations (mean-field).
  • Real-world populations exhibit structure, limiting interactions.

Purpose of the Study:

  • Investigate cooperation in structured multiplayer game populations.
  • Analyze the impact of population structure on cooperative behavior.
  • Explore nonlinear payoff games beyond pairwise interactions.

Main Methods:

  • Studied "threshold games" with nonlinear payoffs.
  • Used numerical simulations on large populations.
  • Employed various network structures to define interaction neighborhoods.

Main Results:

  • Most population structures decrease cooperation compared to mean-field models.
  • Cooperation levels are sensitive to the size of individual interaction neighborhoods.
  • Observed behavior mimics smaller, fully mixed populations.

Conclusions:

  • Population structure significantly impacts cooperation in multiplayer games.
  • Network topology plays a crucial role in determining cooperative outcomes.
  • The findings have broad implications for understanding social behavior in structured populations.