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Videos de Conceptos Relacionados

Spontaneity02:21

Spontaneity

A spontaneous process is one that occurs naturally under certain conditions. A nonspontaneous process, on the other hand, will not take place unless it is “driven” by the continual input of energy from an external source. Processes have a natural tendency to occur in one direction under a given set of conditions. Water will naturally flow downhill (spontaneous process), but uphill flow (nonspontaneous process) requires outside intervention such as the use of a pump. Iron exposed to the earth’s...
Entropy Change in Reversible Processes01:10

Entropy Change in Reversible Processes

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.
Behavior of Gas Molecules: Molecular Diffusion, Mean Free Path, and Effusion03:48

Behavior of Gas Molecules: Molecular Diffusion, Mean Free Path, and Effusion

Although gaseous molecules travel at tremendous speeds (hundreds of meters per second), they collide with other gaseous molecules and travel in many different directions before reaching the desired target. At room temperature, a gaseous molecule will experience billions of collisions per second. The mean free path is the average distance a molecule travels between collisions. The mean free path increases with decreasing pressure; in general, the mean free path for a gaseous molecule will be...
Random Variables01:09

Random Variables

A random variable is a single numerical value that indicates the outcome of a procedure. The concept of random variables is fundamental to the probability theory and was introduced by a Russian mathematician, Pafnuty Chebyshev, in the mid-nineteenth century.
Uppercase letters such as X or Y denote a random variable. Lowercase letters like x or y denote the value of a random variable. If X is a random variable, then X is written in words, and x is given as a number.
For example, let X = the...
Poisson Probability Distribution01:09

Poisson Probability Distribution

A Poisson probability distribution is a discrete probability distribution. It gives the probability of a number of events occurring in a fixed interval of time or space if these events happen at a known average rate and independently of the time since the last event. For example, a book editor might be interested in the number of words spelled incorrectly in a particular book. It might be that, on average, there are five words spelled incorrectly in 100 pages. The interval is 100 pages.
The...
Entropy02:39

Entropy

Salt particles that have dissolved in water never spontaneously come back together in solution to reform solid particles. Moreover, a gas that has expanded in a vacuum remains dispersed and never spontaneously reassembles. The unidirectional nature of these phenomena is the result of a thermodynamic state function called entropy (S). Entropy is the measure of the extent to which the energy is dispersed throughout a system, or in other words, it is proportional to the degree of disorder of a...

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Updated: Jun 24, 2026

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
10:44

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline

Published on: December 7, 2021

Percolación explosiva en las redes aleatorias.

Dimitris Achlioptas1, Raissa M D'Souza, Joel Spencer

  • 1Department of Computer Science, University of California at Santa Cruz, Santa Cruz, CA 95064, USA.

Science (New York, N.Y.)
|March 17, 2009
PubMed
Resumen
Este resumen es generado por máquina.

La introducción de la elección en la formación de redes aleatorias puede causar una transición de percolación discontinua, un hallazgo novedoso para la ciencia de las redes. Esto desafía las suposiciones anteriores sobre cómo las redes se unen cerca de puntos críticos.

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Área de la Ciencia:

  • Ciencia de la red Ciencia de la red Ciencia de la red
  • Física Estadística Física de las estadísticas.
  • Sistemas complejos de sistemas complejos.

Sus antecedentes:

  • Los modelos de formación de redes aleatorias, como el modelo de Erdös-Rényi, suelen exhibir transiciones de percolación continua.
  • Las transiciones de percolación implican un aumento repentino en la conectividad de red alrededor de un punto crítico.
  • La posibilidad de transiciones de percolación discontinuas en redes aleatorias seguía siendo una cuestión teórica abierta.

Objetivo del estudio:

  • Investigar si las transiciones de percolación en redes aleatorias pueden ser discontinuas.
  • Explorar el impacto de la introducción de opciones limitadas en los modelos de formación de redes.
  • Desafiar la comprensión establecida de los fenómenos de percolación en gráficos aleatorios.

Principales métodos:

  • Modificación del modelo clásico de formación de redes de Erdös-Rényi.
  • Incorporación de un mecanismo de elección limitada en el proceso de formación de conexiones.
  • Análisis de la estructura de red resultante y el comportamiento de percolación.

Principales resultados:

  • Demostración de que la introducción de opciones limitadas conduce a una transición de percolación discontinua.
  • Observación de un enlace repentino y a gran escala de los componentes de la red por encima del punto de transición.
  • Contrasta con las transiciones típicamente continuas observadas en modelos puramente aleatorios.

Conclusiones:

  • Las transiciones de percolación en redes aleatorias pueden ser discontinuas bajo condiciones específicas.
  • La elección limitada en la formación de la red es un factor clave que impulsa esta discontinuidad.
  • Los hallazgos ofrecen nuevos conocimientos sobre el comportamiento de sistemas complejos y la robustez de la red.