Emergence of Leadership in Communication

We study a neuro-inspired model that mimics a discussion (or information dissemination) process in a network of agents. During their interaction, agents redistribute activity and network weights, resulting in emergence of leader(s). The model is able to reproduce the basic scenarios of leadership kn...

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Bibliographic Details
Published in:PloS one 2016-08, Vol.11 (8), p.e0159301-e0159301
Main Authors: Allahverdyan, Armen E, Galstyan, Aram
Format: Article
Language:English
Subjects:
Algorithms
Analysis
Applied mathematics
Autocracy
Biology and Life Sciences
Communication
Computer and Information Sciences
Emergence
Feedback
Humans
Influence
Information dissemination
Information processing
Interpersonal Relations
Leadership
Mathematical models
Models, Theoretical
Neural networks
Neurophysiology
Physical Sciences
Research and Analysis Methods
Social capital
Social networks
Social psychology
Social Sciences
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Summary:We study a neuro-inspired model that mimics a discussion (or information dissemination) process in a network of agents. During their interaction, agents redistribute activity and network weights, resulting in emergence of leader(s). The model is able to reproduce the basic scenarios of leadership known in nature and society: laissez-faire (irregular activity, weak leadership, sizable inter-follower interaction, autonomous sub-leaders); participative or democratic (strong leadership, but with feedback from followers); and autocratic (no feedback, one-way influence). Several pertinent aspects of these scenarios are found as well-e.g., hidden leadership (a hidden clique of agents driving the official autocratic leader), and successive leadership (two leaders influence followers by turns). We study how these scenarios emerge from inter-agent dynamics and how they depend on behavior rules of agents-in particular, on their inertia against state changes.
ISSN:1932-6203
1932-6203
DOI:10.1371/journal.pone.0159301