Related Experiment Video
Updated: Dec 7, 2025
09:47
Interfacing 3D Engineered Neuronal Cultures to Micro-Electrode Arrays: An Innovative In Vitro Experimental Model
Published on: October 18, 2015
10.3K
Emergence of complex structures from nonlinear interactions and noise in coevolving networks
Tomasz Raducha1,2, Maxi San Miguel3
1Institute of Experimental Physics, Faculty of Physics, University of Warsaw, Pasteura 5, 02-093, Warsaw, Poland. tomasz.raducha@fuw.edu.pl.
Scientific Reports
|September 25, 2020
Summary
Non-linear interactions and noise create complex social dynamics. Our study identifies distinct phases: consensus, coexistence, and fragmentation, revealing system structure under coevolutionary voter models.
Area of Science:
- Complex Systems Science
- Statistical Physics
- Social Dynamics
Background:
- Coevolutionary dynamics are crucial for understanding social systems.
- The interplay of non-linear interactions and noise significantly shapes system behavior.
- The voter model provides a foundational framework for studying opinion dynamics.
Purpose of the Study:
- To investigate the combined effects of interaction non-linearity and noise on coevolutionary dynamics.
- To identify and characterize distinct phases emerging from these combined effects.
- To analyze the internal structures within these phases.
Main Methods:
- Numerical simulations of the coevolving voter model.
- Analytical approximations, including pair approximation.
- Ad-hoc calculations for phase transition analysis.
Main Results:
- Identified three primary phases: consensus, coexistence, and dynamical fragmentation, differentiated by absolute magnetization and largest component size.
- Further distinguished sub-phases within consensus (weak/alternating vs. strong) and coexistence (fully-mixing vs. structured).
- Observed significant link reduction in structured coexistence due to community formation.
Conclusions:
- Non-linearity, noise, and coevolution jointly drive complex structures in social systems.
- The coevolving voter model effectively captures these complex emergent behaviors.
- Findings offer insights into the formation and stability of social structures.
Related Concept Videos
01:24Sequence Networks of Rotating Machines
403
A Y-connected synchronous generator, grounded through a neutral impedance, is designed to produce balanced internal phase voltages with only positive-sequence components. The generator's sequence networks include a source voltage that is exclusively in the positive-sequence network. The sequence components of line-to-ground voltages at the generator terminals illustrate this configuration.
Zero-sequence current induces a voltage drop across the generator's neutral impedance and other...
Zero-sequence current induces a voltage drop across the generator's neutral impedance and other...
403
01:10Entropy Change in Reversible Processes
3.1K
In the Carnot engine, which achieves the maximum efficiency between two reservoirs of fixed temperatures, the total change in entropy is zero. The observation can be generalized by considering any reversible cyclic process consisting of many Carnot cycles. Thus, it can be stated that the total entropy change of any ideal reversible cycle is zero.
The statement can be further generalized to prove that entropy is a state function. Take a cyclic process between any two points on a p-V diagram.
The statement can be further generalized to prove that entropy is a state function. Take a cyclic process between any two points on a p-V diagram.
3.1K
01:14Stability of structures
374
In mechanical engineering, the stability of systems under various forces is critical for designing durable and efficient structures. One fundamental way to explore these concepts is by analyzing systems like two rods connected at a pivot point, O, with a torsional spring of spring constant k at the pivot point. This system is similar in appearance to a scissor jack used to change tires on a car. In this case, the arms of the linkage (equivalent to the rods in this system) are entirely vertical,...
374
01:16Non-equilibrium in the Cell
5.2K
An important concept in studying metabolism and energy is that of chemical equilibrium. Most chemical reactions are reversible. They can proceed in both directions, releasing energy into their environment in one direction, and absorbing it from the environment in the other direction. The same is true for the chemical reactions involved in cell metabolism, such as the breaking down and building up of proteins into and from individual amino acids, respectively. Reactants within a closed system...
5.2K
02:26Protein Networks
4.4K
An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
4.4K
02:26Protein Networks
2.6K
2.6K