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 Foundations of Self IV: Self in Digital Communication01:30

Social Foundations of Self IV: Self in Digital Communication

235
Since the early 2000s, computer-mediated communication (CMC) has grown rapidly, playing a crucial role in self-development. A key distinction between CMC and real-life interactions is the lack of a physically present partner. This absence makes non-verbal cues such as facial expressions, body language, and paralinguistic signals unavailable in CMC platforms like email, instant messaging, or social media. The lack of these cues can create ambiguity and complicate how feedback is interpreted.The...
235
Levels of Communication II: Organizational, Public, and Group Dynamics01:27

Levels of Communication II: Organizational, Public, and Group Dynamics

3.2K
Effective communication is the foundation of a good organization. Communication is the lifeblood of an organization that connects the group with messages. In an organization, communication occurs in upward, downward, and horizontal lines. Downward communication travels from the administrative and senior levels to the staff through official channels such as manuals, rules and regulations, and organizational charts. Staff members initiate upward communication, which is addressed to executives and...
3.2K
Relationship Formation02:12

Relationship Formation

46.3K
What do you think is the single most influential factor in determining with whom you become friends and whom you form romantic relationships? You might be surprised to learn that the answer is simple: the people with whom you have the most contact. This most important factor is proximity. You are more likely to be friends with people you have regular contact with. For example, there are decades of research that shows that you are more likely to become friends with people who live in your dorm,...
46.3K
Communication01:28

Communication

13.7K
Sharing information, concepts, and emotions to foster mutual understanding is communication. The sender, recipient, and transaction must be considered in this manner. The sender is the person who shares the message, the recipient is the person who receives and understands the message, and the transaction is the method used to deliver the message and the variables that affect the communication's context and surroundings. The nurse-client connection is built on therapeutic communication.
13.7K
Communication01:03

Communication

8.9K
Communication between two animals occurs when one animal transmits an information signal that causes a change in the animal that receives the information. Organisms communicate with one another in a host of different ways. Signals can be auditory, chemical, visual, tactile, or a combination of these. Communication is a critical behavioral adaptation that promotes survival, growth, and reproduction.
8.9K
Impact of Individuals on a Group01:25

Impact of Individuals on a Group

401
In social psychology, the interplay between individuals and groups is a central concern, particularly regarding how individual actions and characteristics influence group processes and outcomes. While much research emphasizes the group's power in shaping individual behavior, it is equally significant to understand how individuals contribute to the functioning, development, and success of groups.Individual Roles in Group Productivity and Decision-MakingIndividuals are not passive participants in...
401

You might also read

Related Articles

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

Sort by
Same author

System-bath approach to rotating Brownian motion.

Physical review. E·2026
Same author

q-Diffusion leverages the full dimensionality of gene coexpression in single-cell transcriptomics.

Communications biology·2024
Same author

Lasting effects of static magnetic field on classical Brownian motion.

Physical review. E·2023
Same author

Identifying geopolitical event precursors using attention-based LSTMs.

Frontiers in artificial intelligence·2022
Same author

Energy Cost of Dynamical Stabilization: Stored versus Dissipated Energy.

Entropy (Basel, Switzerland)·2022
Same author

Nonequilibrium, weak-field-induced cyclotron motion: A mechanism for magnetobiology.

Physical review. E·2022

Related Experiment Video

Updated: Mar 16, 2026

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

Emergence of Leadership in Communication.

Armen E Allahverdyan1, Aram Galstyan2

  • 1Yerevan Physics Institute, Alikhanian Brothers Street 2, Yerevan 375036, Armenia.

Plos One
|August 18, 2016
PubMed
Summary

This study introduces a neuro-inspired model of agent interactions, revealing how network dynamics and agent behavior rules lead to emergent leadership. The model replicates various leadership styles, including laissez-faire, democratic, and autocratic, observed in nature and society.

More Related Videos

Dynamic Inter-subject Functional Connectivity Reveals Moment-to-Moment Brain Network Configurations Driven by Continuous or Communication Paradigms
08:36

Dynamic Inter-subject Functional Connectivity Reveals Moment-to-Moment Brain Network Configurations Driven by Continuous or Communication Paradigms

Published on: March 21, 2019

7.7K
Using Informational Connectivity to Measure the Synchronous Emergence of fMRI Multi-voxel Information Across Time
07:12

Using Informational Connectivity to Measure the Synchronous Emergence of fMRI Multi-voxel Information Across Time

Published on: July 1, 2014

12.8K

Related Experiment Videos

Last Updated: Mar 16, 2026

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
Dynamic Inter-subject Functional Connectivity Reveals Moment-to-Moment Brain Network Configurations Driven by Continuous or Communication Paradigms
08:36

Dynamic Inter-subject Functional Connectivity Reveals Moment-to-Moment Brain Network Configurations Driven by Continuous or Communication Paradigms

Published on: March 21, 2019

7.7K
Using Informational Connectivity to Measure the Synchronous Emergence of fMRI Multi-voxel Information Across Time
07:12

Using Informational Connectivity to Measure the Synchronous Emergence of fMRI Multi-voxel Information Across Time

Published on: July 1, 2014

12.8K

Area of Science:

  • Computational Neuroscience
  • Social Network Analysis
  • Agent-Based Modeling

Background:

  • Leadership emergence is a key phenomenon in social systems and biological networks.
  • Understanding the dynamics of information dissemination and influence is crucial for modeling collective behavior.

Purpose of the Study:

  • To develop and analyze a neuro-inspired computational model simulating agent interactions and leadership emergence.
  • To investigate how different agent behaviors and network dynamics give rise to distinct leadership styles.

Main Methods:

  • Agent-based modeling of information dissemination within a network.
  • Simulation of agent activity redistribution and network weight changes.
  • Analysis of emergent leadership structures based on agent interaction rules.

Main Results:

  • The model successfully reproduces laissez-faire, participative/democratic, and autocratic leadership scenarios.
  • Identified phenomena such as hidden leadership and successive leadership within the model.
  • Leadership emergence is shown to depend on agent inertia and interaction dynamics.

Conclusions:

  • Neuro-inspired agent-based models can effectively capture complex leadership dynamics.
  • Agent behavior rules, particularly inertia, significantly influence the type and stability of emergent leadership.
  • The model provides a framework for studying information flow and leadership in networked systems.